what is one benefit of the case study method of research

10 Case Study Advantages and Disadvantages

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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A case study in academic research is a detailed and in-depth examination of a specific instance or event, generally conducted through a qualitative approach to data.

The most common case study definition that I come across is is Robert K. Yin’s (2003, p. 13) quote provided below:

“An empirical inquiry that investigates a contemporary phenomenon within its real-life context, especially when the boundaries between phenomenon and context are not clearly evident.”

Researchers conduct case studies for a number of reasons, such as to explore complex phenomena within their real-life context, to look at a particularly interesting instance of a situation, or to dig deeper into something of interest identified in a wider-scale project.

While case studies render extremely interesting data, they have many limitations and are not suitable for all studies. One key limitation is that a case study’s findings are not usually generalizable to broader populations because one instance cannot be used to infer trends across populations.

Case Study Advantages and Disadvantages

1. in-depth analysis of complex phenomena.

Case study design allows researchers to delve deeply into intricate issues and situations.

By focusing on a specific instance or event, researchers can uncover nuanced details and layers of understanding that might be missed with other research methods, especially large-scale survey studies.

As Lee and Saunders (2017) argue,

“It allows that particular event to be studies in detail so that its unique qualities may be identified.”

This depth of analysis can provide rich insights into the underlying factors and dynamics of the studied phenomenon.

2. Holistic Understanding

Building on the above point, case studies can help us to understand a topic holistically and from multiple angles.

This means the researcher isn’t restricted to just examining a topic by using a pre-determined set of questions, as with questionnaires. Instead, researchers can use qualitative methods to delve into the many different angles, perspectives, and contextual factors related to the case study.

We can turn to Lee and Saunders (2017) again, who notes that case study researchers “develop a deep, holistic understanding of a particular phenomenon” with the intent of deeply understanding the phenomenon.

3. Examination of rare and Unusual Phenomena

We need to use case study methods when we stumble upon “rare and unusual” (Lee & Saunders, 2017) phenomena that would tend to be seen as mere outliers in population studies.

Take, for example, a child genius. A population study of all children of that child’s age would merely see this child as an outlier in the dataset, and this child may even be removed in order to predict overall trends.

So, to truly come to an understanding of this child and get insights into the environmental conditions that led to this child’s remarkable cognitive development, we need to do an in-depth study of this child specifically – so, we’d use a case study.

4. Helps Reveal the Experiences of Marginalzied Groups

Just as rare and unsual cases can be overlooked in population studies, so too can the experiences, beliefs, and perspectives of marginalized groups.

As Lee and Saunders (2017) argue, “case studies are also extremely useful in helping the expression of the voices of people whose interests are often ignored.”

Take, for example, the experiences of minority populations as they navigate healthcare systems. This was for many years a “hidden” phenomenon, not examined by researchers. It took case study designs to truly reveal this phenomenon, which helped to raise practitioners’ awareness of the importance of cultural sensitivity in medicine.

5. Ideal in Situations where Researchers cannot Control the Variables

Experimental designs – where a study takes place in a lab or controlled environment – are excellent for determining cause and effect . But not all studies can take place in controlled environments (Tetnowski, 2015).

When we’re out in the field doing observational studies or similar fieldwork, we don’t have the freedom to isolate dependent and independent variables. We need to use alternate methods.

Case studies are ideal in such situations.

A case study design will allow researchers to deeply immerse themselves in a setting (potentially combining it with methods such as ethnography or researcher observation) in order to see how phenomena take place in real-life settings.

6. Supports the generation of new theories or hypotheses

While large-scale quantitative studies such as cross-sectional designs and population surveys are excellent at testing theories and hypotheses on a large scale, they need a hypothesis to start off with!

This is where case studies – in the form of grounded research – come in. Often, a case study doesn’t start with a hypothesis. Instead, it ends with a hypothesis based upon the findings within a singular setting.

The deep analysis allows for hypotheses to emerge, which can then be taken to larger-scale studies in order to conduct further, more generalizable, testing of the hypothesis or theory.

7. Reveals the Unexpected

When a largescale quantitative research project has a clear hypothesis that it will test, it often becomes very rigid and has tunnel-vision on just exploring the hypothesis.

Of course, a structured scientific examination of the effects of specific interventions targeted at specific variables is extermely valuable.

But narrowly-focused studies often fail to shine a spotlight on unexpected and emergent data. Here, case studies come in very useful. Oftentimes, researchers set their eyes on a phenomenon and, when examining it closely with case studies, identify data and come to conclusions that are unprecedented, unforeseen, and outright surprising.

As Lars Meier (2009, p. 975) marvels, “where else can we become a part of foreign social worlds and have the chance to become aware of the unexpected?”

Disadvantages

1. not usually generalizable.

Case studies are not generalizable because they tend not to look at a broad enough corpus of data to be able to infer that there is a trend across a population.

As Yang (2022) argues, “by definition, case studies can make no claims to be typical.”

Case studies focus on one specific instance of a phenomenon. They explore the context, nuances, and situational factors that have come to bear on the case study. This is really useful for bringing to light important, new, and surprising information, as I’ve already covered.

But , it’s not often useful for generating data that has validity beyond the specific case study being examined.

2. Subjectivity in interpretation

Case studies usually (but not always) use qualitative data which helps to get deep into a topic and explain it in human terms, finding insights unattainable by quantitative data.

But qualitative data in case studies relies heavily on researcher interpretation. While researchers can be trained and work hard to focus on minimizing subjectivity (through methods like triangulation), it often emerges – some might argue it’s innevitable in qualitative studies.

So, a criticism of case studies could be that they’re more prone to subjectivity – and researchers need to take strides to address this in their studies.

3. Difficulty in replicating results

Case study research is often non-replicable because the study takes place in complex real-world settings where variables are not controlled.

So, when returning to a setting to re-do or attempt to replicate a study, we often find that the variables have changed to such an extent that replication is difficult. Furthermore, new researchers (with new subjective eyes) may catch things that the other readers overlooked.

Replication is even harder when researchers attempt to replicate a case study design in a new setting or with different participants.

Comprehension Quiz for Students

Question 1: What benefit do case studies offer when exploring the experiences of marginalized groups?

a) They provide generalizable data. b) They help express the voices of often-ignored individuals. c) They control all variables for the study. d) They always start with a clear hypothesis.

Question 2: Why might case studies be considered ideal for situations where researchers cannot control all variables?

a) They provide a structured scientific examination. b) They allow for generalizability across populations. c) They focus on one specific instance of a phenomenon. d) They allow for deep immersion in real-life settings.

Question 3: What is a primary disadvantage of case studies in terms of data applicability?

a) They always focus on the unexpected. b) They are not usually generalizable. c) They support the generation of new theories. d) They provide a holistic understanding.

Question 4: Why might case studies be considered more prone to subjectivity?

a) They always use quantitative data. b) They heavily rely on researcher interpretation, especially with qualitative data. c) They are always replicable. d) They look at a broad corpus of data.

Question 5: In what situations are experimental designs, such as those conducted in labs, most valuable?

a) When there’s a need to study rare and unusual phenomena. b) When a holistic understanding is required. c) When determining cause-and-effect relationships. d) When the study focuses on marginalized groups.

Question 6: Why is replication challenging in case study research?

a) Because they always use qualitative data. b) Because they tend to focus on a broad corpus of data. c) Due to the changing variables in complex real-world settings. d) Because they always start with a hypothesis.

Lee, B., & Saunders, M. N. K. (2017). Conducting Case Study Research for Business and Management Students. SAGE Publications.

Meir, L. (2009). Feasting on the Benefits of Case Study Research. In Mills, A. J., Wiebe, E., & Durepos, G. (Eds.). Encyclopedia of Case Study Research (Vol. 2). London: SAGE Publications.

Tetnowski, J. (2015). Qualitative case study research design.  Perspectives on fluency and fluency disorders ,  25 (1), 39-45. ( Source )

Yang, S. L. (2022). The War on Corruption in China: Local Reform and Innovation . Taylor & Francis.

Yin, R. (2003). Case Study research. Thousand Oaks, CA: Sage.

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 19 Top Cognitive Psychology Theories (Explained)
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• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 15 Self-Actualization Examples (Maslow's Hierarchy)

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What are the benefits and drawbacks of case study research?

Posted by Mark Murphy | May 24, 2014 | Method , Research Students | 0

There should be no doubt that with case studies what you gain in depth you lose in breadth – this is the unavoidable compromise that needs to be understood from the beginning of the research process. So this is neither an advantage nor a disadvantage as one aspect cancels out the benefits/drawbacks of the other – there are other benefits and drawbacks that need attention however …

• Their flexibility: case studies are popular for a number of reasons, one being that they can be conducted at various points in the research process. Researchers are known to favour them as a way to develop ideas for more extensive research in the future – pilot studies often take the form of case studies. They are also effective conduits for a broad range of research methods; in that sense they are non-prejudicial against any particular type of research – focus groups are just as welcome in case study research as are questionnaires or participant observation.
• Capturing reality: One of their key benefits is their ability to capture what Hodkinson and Hodkinson call ‘lived reality’ (2001: 3). As they put it, case studies have the potential, when applied successfully, to ‘retain more of the “noise” of real life than many other types of research’ (Hodkinson and Hodkinson, 2001: 3). The importance of ‘noise’ and its place in research is especially important in contexts such as education, for example in schools where background noise is unavoidable. Educational contexts are always complex, and as a result it is difficult to exclude other unwanted variables, ‘some of which may only have real significance for one of their students’ (Hodkinson and Hodkinson, 2001, 4).
• The challenge of generality: At the same time, given their specificity, care needs to be taken when attempting to generalise from the findings. While there’s no inherent flaw in case study design that precludes its broader application, it is preferable that researchers choose their case study sites carefully, while also basing their analysis within existing research findings that have been generated via other research designs. No design is infallible but so often has the claim against case studies been made, that some of the criticism (unwarranted and unfair in many cases) has stuck.
• Suspicion of amateurism: Less partisan researchers might wonder whether the case study offers the time and finance-strapped researcher a convenient and pragmatic source of data, providing findings and recommendations that, given the nature of case studies, can neither be confirmed nor denied, in terms of utility or veracity. Who is to say that case studies offer anything more than a story to tell, and nothing more than that?
• But alongside this suspicion is another more insiduous one – a notion that ‘stories’ are not what social science research is about. This can be a concern for those who favour  case study research, as the political consequences can be hard to ignore. That said, so much research is based either on peoples’ lives or the impact of other issues (poverty, institutional policy) on their lives, so the stories of what actually occurs in their lives or in professional environments tend to be an invaluable source of evidence. The fact is that stories (individual, collective, institutional) have a vital role to play in the world of research. And to play the specific v. general card against case study design suggests a tendency towards forms of research fundamentalism as opposed to any kind of rational and objective take on case study’s strengths and limitations.
• Preciousness: Having said that, researchers should not fall into the trap (surprising how often this happens) of assuming that case study data speaks for itself – rarely is this ever the case, an assumption that is as patronising to research subjects as it is false. The role of the researcher is both to describe social phenomena and also to explain – i.e., interpret. Without interpretation the research findings lack meaningful presentation – they present themselves as fact when of course the reality of ‘facts’ is one of the reasons why such research is carried out.
• Conflation of political/research objectives: Another trap that case study researchers sometimes fall into is presenting research findings as if they were self-evidently true, as if the stories were beyond criticism. This is often accompanied by a vague attachment to the notion that research is a political process – one that is performed as a form of liberation against for example policies that seek to ignore the stories of those who ‘suffer’ at the hands of overbearing political or economic imperatives. Case study design should not be viewed as a mechanism for providing a ‘local’ bulwark against the ‘global’ – bur rather as a mechanism for checking the veracity of universalist claims (at least one of its objectives). The valorisation of particularism can only get you so far in social research.

[This post is adapted from material in ‘Research and Education’ (Curtis, Murphy and Shields , Routledge 2014), pp. 80-82].

Reference: Hodkinson, P. and H. Hodkinson (2001). The strengths and limitations of case study research. Paper presented to the Learning and Skills Development Agency conference, Making an impact on policy and practice , Cambridge, 5-7 December 2001, downloaded from h ttp://education.exeter.ac.uk/tlc/docs/publications/LE_PH_PUB_05.12.01.rtf.26.01.2013

About The Author

Mark Murphy

Mark Murphy is a Reader in Education and Public Policy at the University of Glasgow. He previously worked as an academic at King’s College, London, University of Chester, University of Stirling, National University of Ireland, Maynooth, University College Dublin and Northern Illinois University. Mark is an active researcher in the fields of education and public policy. His research interests include educational sociology, critical theory, accountability in higher education, and public sector reform.

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Case Study – Methods, Examples and Guide

Table of Contents

A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation.

It is a qualitative research approach that aims to provide a detailed and comprehensive understanding of the case being studied. Case studies typically involve multiple sources of data, including interviews, observations, documents, and artifacts, which are analyzed using various techniques, such as content analysis, thematic analysis, and grounded theory. The findings of a case study are often used to develop theories, inform policy or practice, or generate new research questions.

Types of Case Study

Types and Methods of Case Study are as follows:

Single-Case Study

A single-case study is an in-depth analysis of a single case. This type of case study is useful when the researcher wants to understand a specific phenomenon in detail.

For Example , A researcher might conduct a single-case study on a particular individual to understand their experiences with a particular health condition or a specific organization to explore their management practices. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a single-case study are often used to generate new research questions, develop theories, or inform policy or practice.

Multiple-Case Study

A multiple-case study involves the analysis of several cases that are similar in nature. This type of case study is useful when the researcher wants to identify similarities and differences between the cases.

For Example, a researcher might conduct a multiple-case study on several companies to explore the factors that contribute to their success or failure. The researcher collects data from each case, compares and contrasts the findings, and uses various techniques to analyze the data, such as comparative analysis or pattern-matching. The findings of a multiple-case study can be used to develop theories, inform policy or practice, or generate new research questions.

Exploratory Case Study

An exploratory case study is used to explore a new or understudied phenomenon. This type of case study is useful when the researcher wants to generate hypotheses or theories about the phenomenon.

For Example, a researcher might conduct an exploratory case study on a new technology to understand its potential impact on society. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as grounded theory or content analysis. The findings of an exploratory case study can be used to generate new research questions, develop theories, or inform policy or practice.

Descriptive Case Study

A descriptive case study is used to describe a particular phenomenon in detail. This type of case study is useful when the researcher wants to provide a comprehensive account of the phenomenon.

For Example, a researcher might conduct a descriptive case study on a particular community to understand its social and economic characteristics. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a descriptive case study can be used to inform policy or practice or generate new research questions.

Instrumental Case Study

An instrumental case study is used to understand a particular phenomenon that is instrumental in achieving a particular goal. This type of case study is useful when the researcher wants to understand the role of the phenomenon in achieving the goal.

For Example, a researcher might conduct an instrumental case study on a particular policy to understand its impact on achieving a particular goal, such as reducing poverty. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of an instrumental case study can be used to inform policy or practice or generate new research questions.

Case Study Data Collection Methods

Here are some common data collection methods for case studies:

Interviews involve asking questions to individuals who have knowledge or experience relevant to the case study. Interviews can be structured (where the same questions are asked to all participants) or unstructured (where the interviewer follows up on the responses with further questions). Interviews can be conducted in person, over the phone, or through video conferencing.

Observations

Observations involve watching and recording the behavior and activities of individuals or groups relevant to the case study. Observations can be participant (where the researcher actively participates in the activities) or non-participant (where the researcher observes from a distance). Observations can be recorded using notes, audio or video recordings, or photographs.

Documents can be used as a source of information for case studies. Documents can include reports, memos, emails, letters, and other written materials related to the case study. Documents can be collected from the case study participants or from public sources.

Surveys involve asking a set of questions to a sample of individuals relevant to the case study. Surveys can be administered in person, over the phone, through mail or email, or online. Surveys can be used to gather information on attitudes, opinions, or behaviors related to the case study.

Artifacts are physical objects relevant to the case study. Artifacts can include tools, equipment, products, or other objects that provide insights into the case study phenomenon.

How to conduct Case Study Research

Conducting a case study research involves several steps that need to be followed to ensure the quality and rigor of the study. Here are the steps to conduct case study research:

• Define the research questions: The first step in conducting a case study research is to define the research questions. The research questions should be specific, measurable, and relevant to the case study phenomenon under investigation.
• Select the case: The next step is to select the case or cases to be studied. The case should be relevant to the research questions and should provide rich and diverse data that can be used to answer the research questions.
• Collect data: Data can be collected using various methods, such as interviews, observations, documents, surveys, and artifacts. The data collection method should be selected based on the research questions and the nature of the case study phenomenon.
• Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory. The analysis should be guided by the research questions and should aim to provide insights and conclusions relevant to the research questions.
• Draw conclusions: The conclusions drawn from the case study should be based on the data analysis and should be relevant to the research questions. The conclusions should be supported by evidence and should be clearly stated.
• Validate the findings: The findings of the case study should be validated by reviewing the data and the analysis with participants or other experts in the field. This helps to ensure the validity and reliability of the findings.
• Write the report: The final step is to write the report of the case study research. The report should provide a clear description of the case study phenomenon, the research questions, the data collection methods, the data analysis, the findings, and the conclusions. The report should be written in a clear and concise manner and should follow the guidelines for academic writing.

Examples of Case Study

Here are some examples of case study research:

• The Hawthorne Studies : Conducted between 1924 and 1932, the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee productivity. The studies were conducted at the Hawthorne Works plant of the Western Electric Company in Chicago and included interviews, observations, and experiments.
• The Stanford Prison Experiment: Conducted in 1971, the Stanford Prison Experiment was a case study conducted by Philip Zimbardo to examine the psychological effects of power and authority. The study involved simulating a prison environment and assigning participants to the role of guards or prisoners. The study was controversial due to the ethical issues it raised.
• The Challenger Disaster: The Challenger Disaster was a case study conducted to examine the causes of the Space Shuttle Challenger explosion in 1986. The study included interviews, observations, and analysis of data to identify the technical, organizational, and cultural factors that contributed to the disaster.
• The Enron Scandal: The Enron Scandal was a case study conducted to examine the causes of the Enron Corporation’s bankruptcy in 2001. The study included interviews, analysis of financial data, and review of documents to identify the accounting practices, corporate culture, and ethical issues that led to the company’s downfall.
• The Fukushima Nuclear Disaster : The Fukushima Nuclear Disaster was a case study conducted to examine the causes of the nuclear accident that occurred at the Fukushima Daiichi Nuclear Power Plant in Japan in 2011. The study included interviews, analysis of data, and review of documents to identify the technical, organizational, and cultural factors that contributed to the disaster.

Application of Case Study

Case studies have a wide range of applications across various fields and industries. Here are some examples:

Business and Management

Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and best practices.

Case studies are used in healthcare to examine patient care, treatment options, and outcomes. Case studies can help healthcare professionals to develop critical thinking skills, diagnose complex medical conditions, and develop effective treatment plans.

Case studies are used in education to examine teaching and learning practices. Case studies can help educators to develop effective teaching strategies, evaluate student progress, and identify areas for improvement.

Social Sciences

Case studies are widely used in social sciences to examine human behavior, social phenomena, and cultural practices. Case studies can help researchers to develop theories, test hypotheses, and gain insights into complex social issues.

Law and Ethics

Case studies are used in law and ethics to examine legal and ethical dilemmas. Case studies can help lawyers, policymakers, and ethical professionals to develop critical thinking skills, analyze complex cases, and make informed decisions.

Purpose of Case Study

The purpose of a case study is to provide a detailed analysis of a specific phenomenon, issue, or problem in its real-life context. A case study is a qualitative research method that involves the in-depth exploration and analysis of a particular case, which can be an individual, group, organization, event, or community.

The primary purpose of a case study is to generate a comprehensive and nuanced understanding of the case, including its history, context, and dynamics. Case studies can help researchers to identify and examine the underlying factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and detailed understanding of the case, which can inform future research, practice, or policy.

Case studies can also serve other purposes, including:

• Illustrating a theory or concept: Case studies can be used to illustrate and explain theoretical concepts and frameworks, providing concrete examples of how they can be applied in real-life situations.
• Developing hypotheses: Case studies can help to generate hypotheses about the causal relationships between different factors and outcomes, which can be tested through further research.
• Providing insight into complex issues: Case studies can provide insights into complex and multifaceted issues, which may be difficult to understand through other research methods.
• Informing practice or policy: Case studies can be used to inform practice or policy by identifying best practices, lessons learned, or areas for improvement.

Advantages of Case Study Research

There are several advantages of case study research, including:

• In-depth exploration: Case study research allows for a detailed exploration and analysis of a specific phenomenon, issue, or problem in its real-life context. This can provide a comprehensive understanding of the case and its dynamics, which may not be possible through other research methods.
• Rich data: Case study research can generate rich and detailed data, including qualitative data such as interviews, observations, and documents. This can provide a nuanced understanding of the case and its complexity.
• Holistic perspective: Case study research allows for a holistic perspective of the case, taking into account the various factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and comprehensive understanding of the case.
• Theory development: Case study research can help to develop and refine theories and concepts by providing empirical evidence and concrete examples of how they can be applied in real-life situations.
• Practical application: Case study research can inform practice or policy by identifying best practices, lessons learned, or areas for improvement.
• Contextualization: Case study research takes into account the specific context in which the case is situated, which can help to understand how the case is influenced by the social, cultural, and historical factors of its environment.

Limitations of Case Study Research

There are several limitations of case study research, including:

• Limited generalizability : Case studies are typically focused on a single case or a small number of cases, which limits the generalizability of the findings. The unique characteristics of the case may not be applicable to other contexts or populations, which may limit the external validity of the research.
• Biased sampling: Case studies may rely on purposive or convenience sampling, which can introduce bias into the sample selection process. This may limit the representativeness of the sample and the generalizability of the findings.
• Subjectivity: Case studies rely on the interpretation of the researcher, which can introduce subjectivity into the analysis. The researcher’s own biases, assumptions, and perspectives may influence the findings, which may limit the objectivity of the research.
• Limited control: Case studies are typically conducted in naturalistic settings, which limits the control that the researcher has over the environment and the variables being studied. This may limit the ability to establish causal relationships between variables.
• Time-consuming: Case studies can be time-consuming to conduct, as they typically involve a detailed exploration and analysis of a specific case. This may limit the feasibility of conducting multiple case studies or conducting case studies in a timely manner.
• Resource-intensive: Case studies may require significant resources, including time, funding, and expertise. This may limit the ability of researchers to conduct case studies in resource-constrained settings.

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• What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

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The Ultimate Guide to Qualitative Research - Part 1: The Basics

• Introduction and overview
• What is qualitative research?
• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews

Research question

• Conceptual framework
• Conceptual vs. theoretical framework

Data collection

• Qualitative research methods
• Focus groups
• Observational research

What is a case study?

Applications for case study research, what is a good case study, process of case study design, benefits and limitations of case studies.

• Ethnographical research
• Ethical considerations
• Confidentiality and privacy
• Power dynamics
• Reflexivity

Case studies

Case studies are essential to qualitative research , offering a lens through which researchers can investigate complex phenomena within their real-life contexts. This chapter explores the concept, purpose, applications, examples, and types of case studies and provides guidance on how to conduct case study research effectively.

Whereas quantitative methods look at phenomena at scale, case study research looks at a concept or phenomenon in considerable detail. While analyzing a single case can help understand one perspective regarding the object of research inquiry, analyzing multiple cases can help obtain a more holistic sense of the topic or issue. Let's provide a basic definition of a case study, then explore its characteristics and role in the qualitative research process.

Definition of a case study

A case study in qualitative research is a strategy of inquiry that involves an in-depth investigation of a phenomenon within its real-world context. It provides researchers with the opportunity to acquire an in-depth understanding of intricate details that might not be as apparent or accessible through other methods of research. The specific case or cases being studied can be a single person, group, or organization – demarcating what constitutes a relevant case worth studying depends on the researcher and their research question .

Among qualitative research methods , a case study relies on multiple sources of evidence, such as documents, artifacts, interviews , or observations , to present a complete and nuanced understanding of the phenomenon under investigation. The objective is to illuminate the readers' understanding of the phenomenon beyond its abstract statistical or theoretical explanations.

Characteristics of case studies

Case studies typically possess a number of distinct characteristics that set them apart from other research methods. These characteristics include a focus on holistic description and explanation, flexibility in the design and data collection methods, reliance on multiple sources of evidence, and emphasis on the context in which the phenomenon occurs.

Furthermore, case studies can often involve a longitudinal examination of the case, meaning they study the case over a period of time. These characteristics allow case studies to yield comprehensive, in-depth, and richly contextualized insights about the phenomenon of interest.

The role of case studies in research

Case studies hold a unique position in the broader landscape of research methods aimed at theory development. They are instrumental when the primary research interest is to gain an intensive, detailed understanding of a phenomenon in its real-life context.

In addition, case studies can serve different purposes within research - they can be used for exploratory, descriptive, or explanatory purposes, depending on the research question and objectives. This flexibility and depth make case studies a valuable tool in the toolkit of qualitative researchers.

Remember, a well-conducted case study can offer a rich, insightful contribution to both academic and practical knowledge through theory development or theory verification, thus enhancing our understanding of complex phenomena in their real-world contexts.

What is the purpose of a case study?

Case study research aims for a more comprehensive understanding of phenomena, requiring various research methods to gather information for qualitative analysis . Ultimately, a case study can allow the researcher to gain insight into a particular object of inquiry and develop a theoretical framework relevant to the research inquiry.

Why use case studies in qualitative research?

Using case studies as a research strategy depends mainly on the nature of the research question and the researcher's access to the data.

Conducting case study research provides a level of detail and contextual richness that other research methods might not offer. They are beneficial when there's a need to understand complex social phenomena within their natural contexts.

The explanatory, exploratory, and descriptive roles of case studies

Case studies can take on various roles depending on the research objectives. They can be exploratory when the research aims to discover new phenomena or define new research questions; they are descriptive when the objective is to depict a phenomenon within its context in a detailed manner; and they can be explanatory if the goal is to understand specific relationships within the studied context. Thus, the versatility of case studies allows researchers to approach their topic from different angles, offering multiple ways to uncover and interpret the data .

The impact of case studies on knowledge development

Case studies play a significant role in knowledge development across various disciplines. Analysis of cases provides an avenue for researchers to explore phenomena within their context based on the collected data.

This can result in the production of rich, practical insights that can be instrumental in both theory-building and practice. Case studies allow researchers to delve into the intricacies and complexities of real-life situations, uncovering insights that might otherwise remain hidden.

Types of case studies

In qualitative research , a case study is not a one-size-fits-all approach. Depending on the nature of the research question and the specific objectives of the study, researchers might choose to use different types of case studies. These types differ in their focus, methodology, and the level of detail they provide about the phenomenon under investigation.

Understanding these types is crucial for selecting the most appropriate approach for your research project and effectively achieving your research goals. Let's briefly look at the main types of case studies.

Exploratory case studies

Exploratory case studies are typically conducted to develop a theory or framework around an understudied phenomenon. They can also serve as a precursor to a larger-scale research project. Exploratory case studies are useful when a researcher wants to identify the key issues or questions which can spur more extensive study or be used to develop propositions for further research. These case studies are characterized by flexibility, allowing researchers to explore various aspects of a phenomenon as they emerge, which can also form the foundation for subsequent studies.

Descriptive case studies

Descriptive case studies aim to provide a complete and accurate representation of a phenomenon or event within its context. These case studies are often based on an established theoretical framework, which guides how data is collected and analyzed. The researcher is concerned with describing the phenomenon in detail, as it occurs naturally, without trying to influence or manipulate it.

Explanatory case studies

Explanatory case studies are focused on explanation - they seek to clarify how or why certain phenomena occur. Often used in complex, real-life situations, they can be particularly valuable in clarifying causal relationships among concepts and understanding the interplay between different factors within a specific context.

Intrinsic, instrumental, and collective case studies

These three categories of case studies focus on the nature and purpose of the study. An intrinsic case study is conducted when a researcher has an inherent interest in the case itself. Instrumental case studies are employed when the case is used to provide insight into a particular issue or phenomenon. A collective case study, on the other hand, involves studying multiple cases simultaneously to investigate some general phenomena.

Each type of case study serves a different purpose and has its own strengths and challenges. The selection of the type should be guided by the research question and objectives, as well as the context and constraints of the research.

The flexibility, depth, and contextual richness offered by case studies make this approach an excellent research method for various fields of study. They enable researchers to investigate real-world phenomena within their specific contexts, capturing nuances that other research methods might miss. Across numerous fields, case studies provide valuable insights into complex issues.

Critical information systems research

Case studies provide a detailed understanding of the role and impact of information systems in different contexts. They offer a platform to explore how information systems are designed, implemented, and used and how they interact with various social, economic, and political factors. Case studies in this field often focus on examining the intricate relationship between technology, organizational processes, and user behavior, helping to uncover insights that can inform better system design and implementation.

Health research

Health research is another field where case studies are highly valuable. They offer a way to explore patient experiences, healthcare delivery processes, and the impact of various interventions in a real-world context.

Case studies can provide a deep understanding of a patient's journey, giving insights into the intricacies of disease progression, treatment effects, and the psychosocial aspects of health and illness.

Asthma research studies

Specifically within medical research, studies on asthma often employ case studies to explore the individual and environmental factors that influence asthma development, management, and outcomes. A case study can provide rich, detailed data about individual patients' experiences, from the triggers and symptoms they experience to the effectiveness of various management strategies. This can be crucial for developing patient-centered asthma care approaches.

Other fields

Apart from the fields mentioned, case studies are also extensively used in business and management research, education research, and political sciences, among many others. They provide an opportunity to delve into the intricacies of real-world situations, allowing for a comprehensive understanding of various phenomena.

Case studies, with their depth and contextual focus, offer unique insights across these varied fields. They allow researchers to illuminate the complexities of real-life situations, contributing to both theory and practice.

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Understanding the key elements of case study design is crucial for conducting rigorous and impactful case study research. A well-structured design guides the researcher through the process, ensuring that the study is methodologically sound and its findings are reliable and valid. The main elements of case study design include the research question , propositions, units of analysis, and the logic linking the data to the propositions.

The research question is the foundation of any research study. A good research question guides the direction of the study and informs the selection of the case, the methods of collecting data, and the analysis techniques. A well-formulated research question in case study research is typically clear, focused, and complex enough to merit further detailed examination of the relevant case(s).

Propositions

Propositions, though not necessary in every case study, provide a direction by stating what we might expect to find in the data collected. They guide how data is collected and analyzed by helping researchers focus on specific aspects of the case. They are particularly important in explanatory case studies, which seek to understand the relationships among concepts within the studied phenomenon.

Units of analysis

The unit of analysis refers to the case, or the main entity or entities that are being analyzed in the study. In case study research, the unit of analysis can be an individual, a group, an organization, a decision, an event, or even a time period. It's crucial to clearly define the unit of analysis, as it shapes the qualitative data analysis process by allowing the researcher to analyze a particular case and synthesize analysis across multiple case studies to draw conclusions.

Argumentation

This refers to the inferential model that allows researchers to draw conclusions from the data. The researcher needs to ensure that there is a clear link between the data, the propositions (if any), and the conclusions drawn. This argumentation is what enables the researcher to make valid and credible inferences about the phenomenon under study.

Understanding and carefully considering these elements in the design phase of a case study can significantly enhance the quality of the research. It can help ensure that the study is methodologically sound and its findings contribute meaningful insights about the case.

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Conducting a case study involves several steps, from defining the research question and selecting the case to collecting and analyzing data . This section outlines these key stages, providing a practical guide on how to conduct case study research.

Defining the research question

The first step in case study research is defining a clear, focused research question. This question should guide the entire research process, from case selection to analysis. It's crucial to ensure that the research question is suitable for a case study approach. Typically, such questions are exploratory or descriptive in nature and focus on understanding a phenomenon within its real-life context.

Selecting and defining the case

The selection of the case should be based on the research question and the objectives of the study. It involves choosing a unique example or a set of examples that provide rich, in-depth data about the phenomenon under investigation. After selecting the case, it's crucial to define it clearly, setting the boundaries of the case, including the time period and the specific context.

Previous research can help guide the case study design. When considering a case study, an example of a case could be taken from previous case study research and used to define cases in a new research inquiry. Considering recently published examples can help understand how to select and define cases effectively.

Developing a detailed case study protocol

A case study protocol outlines the procedures and general rules to be followed during the case study. This includes the data collection methods to be used, the sources of data, and the procedures for analysis. Having a detailed case study protocol ensures consistency and reliability in the study.

The protocol should also consider how to work with the people involved in the research context to grant the research team access to collecting data. As mentioned in previous sections of this guide, establishing rapport is an essential component of qualitative research as it shapes the overall potential for collecting and analyzing data.

Collecting data

Gathering data in case study research often involves multiple sources of evidence, including documents, archival records, interviews, observations, and physical artifacts. This allows for a comprehensive understanding of the case. The process for gathering data should be systematic and carefully documented to ensure the reliability and validity of the study.

Analyzing and interpreting data

The next step is analyzing the data. This involves organizing the data , categorizing it into themes or patterns , and interpreting these patterns to answer the research question. The analysis might also involve comparing the findings with prior research or theoretical propositions.

Writing the case study report

The final step is writing the case study report . This should provide a detailed description of the case, the data, the analysis process, and the findings. The report should be clear, organized, and carefully written to ensure that the reader can understand the case and the conclusions drawn from it.

Each of these steps is crucial in ensuring that the case study research is rigorous, reliable, and provides valuable insights about the case.

The type, depth, and quality of data in your study can significantly influence the validity and utility of the study. In case study research, data is usually collected from multiple sources to provide a comprehensive and nuanced understanding of the case. This section will outline the various methods of collecting data used in case study research and discuss considerations for ensuring the quality of the data.

Interviews are a common method of gathering data in case study research. They can provide rich, in-depth data about the perspectives, experiences, and interpretations of the individuals involved in the case. Interviews can be structured , semi-structured , or unstructured , depending on the research question and the degree of flexibility needed.

Observations

Observations involve the researcher observing the case in its natural setting, providing first-hand information about the case and its context. Observations can provide data that might not be revealed in interviews or documents, such as non-verbal cues or contextual information.

Documents and artifacts

Documents and archival records provide a valuable source of data in case study research. They can include reports, letters, memos, meeting minutes, email correspondence, and various public and private documents related to the case.

These records can provide historical context, corroborate evidence from other sources, and offer insights into the case that might not be apparent from interviews or observations.

Physical artifacts refer to any physical evidence related to the case, such as tools, products, or physical environments. These artifacts can provide tangible insights into the case, complementing the data gathered from other sources.

Ensuring the quality of data collection

Determining the quality of data in case study research requires careful planning and execution. It's crucial to ensure that the data is reliable, accurate, and relevant to the research question. This involves selecting appropriate methods of collecting data, properly training interviewers or observers, and systematically recording and storing the data. It also includes considering ethical issues related to collecting and handling data, such as obtaining informed consent and ensuring the privacy and confidentiality of the participants.

Data analysis

Analyzing case study research involves making sense of the rich, detailed data to answer the research question. This process can be challenging due to the volume and complexity of case study data. However, a systematic and rigorous approach to analysis can ensure that the findings are credible and meaningful. This section outlines the main steps and considerations in analyzing data in case study research.

Organizing the data

The first step in the analysis is organizing the data. This involves sorting the data into manageable sections, often according to the data source or the theme. This step can also involve transcribing interviews, digitizing physical artifacts, or organizing observational data.

Categorizing and coding the data

Once the data is organized, the next step is to categorize or code the data. This involves identifying common themes, patterns, or concepts in the data and assigning codes to relevant data segments. Coding can be done manually or with the help of software tools, and in either case, qualitative analysis software can greatly facilitate the entire coding process. Coding helps to reduce the data to a set of themes or categories that can be more easily analyzed.

Identifying patterns and themes

After coding the data, the researcher looks for patterns or themes in the coded data. This involves comparing and contrasting the codes and looking for relationships or patterns among them. The identified patterns and themes should help answer the research question.

Interpreting the data

Once patterns and themes have been identified, the next step is to interpret these findings. This involves explaining what the patterns or themes mean in the context of the research question and the case. This interpretation should be grounded in the data, but it can also involve drawing on theoretical concepts or prior research.

Verification of the data

The last step in the analysis is verification. This involves checking the accuracy and consistency of the analysis process and confirming that the findings are supported by the data. This can involve re-checking the original data, checking the consistency of codes, or seeking feedback from research participants or peers.

Like any research method , case study research has its strengths and limitations. Researchers must be aware of these, as they can influence the design, conduct, and interpretation of the study.

Understanding the strengths and limitations of case study research can also guide researchers in deciding whether this approach is suitable for their research question . This section outlines some of the key strengths and limitations of case study research.

Benefits include the following:

• Rich, detailed data: One of the main strengths of case study research is that it can generate rich, detailed data about the case. This can provide a deep understanding of the case and its context, which can be valuable in exploring complex phenomena.
• Flexibility: Case study research is flexible in terms of design , data collection , and analysis . A sufficient degree of flexibility allows the researcher to adapt the study according to the case and the emerging findings.
• Real-world context: Case study research involves studying the case in its real-world context, which can provide valuable insights into the interplay between the case and its context.
• Multiple sources of evidence: Case study research often involves collecting data from multiple sources , which can enhance the robustness and validity of the findings.

On the other hand, researchers should consider the following limitations:

• Generalizability: A common criticism of case study research is that its findings might not be generalizable to other cases due to the specificity and uniqueness of each case.
• Time and resource intensive: Case study research can be time and resource intensive due to the depth of the investigation and the amount of collected data.
• Complexity of analysis: The rich, detailed data generated in case study research can make analyzing the data challenging.
• Subjectivity: Given the nature of case study research, there may be a higher degree of subjectivity in interpreting the data , so researchers need to reflect on this and transparently convey to audiences how the research was conducted.

Being aware of these strengths and limitations can help researchers design and conduct case study research effectively and interpret and report the findings appropriately.

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5 Benefits of Learning Through the Case Study Method

• 28 Nov 2023

While several factors make HBS Online unique —including a global Community and real-world outcomes —active learning through the case study method rises to the top.

In a 2023 City Square Associates survey, 74 percent of HBS Online learners who also took a course from another provider said HBS Online’s case method and real-world examples were better by comparison.

Here’s a primer on the case method, five benefits you could gain, and how to experience it for yourself.

Access your free e-book today.

What Is the Harvard Business School Case Study Method?

The case study method , or case method , is a learning technique in which you’re presented with a real-world business challenge and asked how you’d solve it. After working through it yourself and with peers, you’re told how the scenario played out.

HBS pioneered the case method in 1922. Shortly before, in 1921, the first case was written.

“How do you go into an ambiguous situation and get to the bottom of it?” says HBS Professor Jan Rivkin, former senior associate dean and chair of HBS's master of business administration (MBA) program, in a video about the case method . “That skill—the skill of figuring out a course of inquiry to choose a course of action—that skill is as relevant today as it was in 1921.”

Originally developed for the in-person MBA classroom, HBS Online adapted the case method into an engaging, interactive online learning experience in 2014.

In HBS Online courses , you learn about each case from the business professional who experienced it. After reviewing their videos, you’re prompted to take their perspective and explain how you’d handle their situation.

You then get to read peers’ responses, “star” them, and comment to further the discussion. Afterward, you learn how the professional handled it and their key takeaways.

HBS Online’s adaptation of the case method incorporates the famed HBS “cold call,” in which you’re called on at random to make a decision without time to prepare.

“Learning came to life!” said Sheneka Balogun , chief administration officer and chief of staff at LeMoyne-Owen College, of her experience taking the Credential of Readiness (CORe) program . “The videos from the professors, the interactive cold calls where you were randomly selected to participate, and the case studies that enhanced and often captured the essence of objectives and learning goals were all embedded in each module. This made learning fun, engaging, and student-friendly.”

If you’re considering taking a course that leverages the case study method, here are five benefits you could experience.

5 Benefits of Learning Through Case Studies

1. take new perspectives.

The case method prompts you to consider a scenario from another person’s perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to assess how to respond.

Taking on new perspectives not only can help you navigate your own challenges but also others’. Putting yourself in someone else’s situation to understand their motivations and needs can go a long way when collaborating with stakeholders.

2. Hone Your Decision-Making Skills

Another skill you can build is the ability to make decisions effectively . The case study method forces you to use limited information to decide how to handle a problem—just like in the real world.

Throughout your career, you’ll need to make difficult decisions with incomplete or imperfect information—and sometimes, you won’t feel qualified to do so. Learning through the case method allows you to practice this skill in a low-stakes environment. When facing a real challenge, you’ll be better prepared to think quickly, collaborate with others, and present and defend your solution.

3. Become More Open-Minded

As you collaborate with peers on responses, it becomes clear that not everyone solves problems the same way. Exposing yourself to various approaches and perspectives can help you become a more open-minded professional.

When you’re part of a diverse group of learners from around the world, your experiences, cultures, and backgrounds contribute to a range of opinions on each case.

On the HBS Online course platform, you’re prompted to view and comment on others’ responses, and discussion is encouraged. This practice of considering others’ perspectives can make you more receptive in your career.

“You’d be surprised at how much you can learn from your peers,” said Ratnaditya Jonnalagadda , a software engineer who took CORe.

In addition to interacting with peers in the course platform, Jonnalagadda was part of the HBS Online Community , where he networked with other professionals and continued discussions sparked by course content.

“You get to understand your peers better, and students share examples of businesses implementing a concept from a module you just learned,” Jonnalagadda said. “It’s a very good way to cement the concepts in one's mind.”

4. Enhance Your Curiosity

One byproduct of taking on different perspectives is that it enables you to picture yourself in various roles, industries, and business functions.

“Each case offers an opportunity for students to see what resonates with them, what excites them, what bores them, which role they could imagine inhabiting in their careers,” says former HBS Dean Nitin Nohria in the Harvard Business Review . “Cases stimulate curiosity about the range of opportunities in the world and the many ways that students can make a difference as leaders.”

Through the case method, you can “try on” roles you may not have considered and feel more prepared to change or advance your career .

5. Build Your Self-Confidence

Finally, learning through the case study method can build your confidence. Each time you assume a business leader’s perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career.

According to a 2022 City Square Associates survey , 84 percent of HBS Online learners report feeling more confident making business decisions after taking a course.

“Self-confidence is difficult to teach or coach, but the case study method seems to instill it in people,” Nohria says in the Harvard Business Review . “There may well be other ways of learning these meta-skills, such as the repeated experience gained through practice or guidance from a gifted coach. However, under the direction of a masterful teacher, the case method can engage students and help them develop powerful meta-skills like no other form of teaching.”

How to Experience the Case Study Method

If the case method seems like a good fit for your learning style, experience it for yourself by taking an HBS Online course. Offerings span seven subject areas, including:

• Business essentials
• Leadership and management
• Entrepreneurship and innovation
• Finance and accounting
• Business in society

No matter which course or credential program you choose, you’ll examine case studies from real business professionals, work through their challenges alongside peers, and gain valuable insights to apply to your career.

Are you interested in discovering how HBS Online can help advance your career? Explore our course catalog and download our free guide —complete with interactive workbook sections—to determine if online learning is right for you and which course to take.

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Case Study | Definition, Examples & Methods

Published on 5 May 2022 by Shona McCombes . Revised on 30 January 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organisation, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating, and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyse the case.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

Unlike quantitative or experimental research, a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

If you find yourself aiming to simultaneously investigate and solve an issue, consider conducting action research . As its name suggests, action research conducts research and takes action at the same time, and is highly iterative and flexible. 

However, you can also choose a more common or representative case to exemplify a particular category, experience, or phenomenon.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews, observations, and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data .

The aim is to gain as thorough an understanding as possible of the case and its context.

In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis, with separate sections or chapters for the methods , results , and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyse its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

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Case Study Method – 18 Advantages and Disadvantages

The case study method uses investigatory research as a way to collect data about specific demographics. This approach can apply to individuals, businesses, groups, or events. Each participant receives an equal amount of participation, offering information for collection that can then find new insights into specific trends, ideas, of hypotheses.

Interviews and research observation are the two standard methods of data collection used when following the case study method.

Researchers initially developed the case study method to develop and support hypotheses in clinical medicine. The benefits found in these efforts led the approach to transition to other industries, allowing for the examination of results through proposed decisions, processes, or outcomes. Its unique approach to information makes it possible for others to glean specific points of wisdom that encourage growth.

Several case study method advantages and disadvantages can appear when researchers take this approach.

List of the Advantages of the Case Study Method

1. It requires an intensive study of a specific unit. Researchers must document verifiable data from direct observations when using the case study method. This work offers information about the input processes that go into the hypothesis under consideration. A casual approach to data-gathering work is not effective if a definitive outcome is desired. Each behavior, choice, or comment is a critical component that can verify or dispute the ideas being considered.

Intensive programs can require a significant amount of work for researchers, but it can also promote an improvement in the data collected. That means a hypothesis can receive immediate verification in some situations.

2. No sampling is required when following the case study method. This research method studies social units in their entire perspective instead of pulling individual data points out to analyze them. That means there is no sampling work required when using the case study method. The hypothesis under consideration receives support because it works to turn opinions into facts, verifying or denying the proposals that outside observers can use in the future.

Although researchers might pay attention to specific incidents or outcomes based on generalized behaviors or ideas, the study itself won’t sample those situations. It takes a look at the “bigger vision” instead.

3. This method offers a continuous analysis of the facts. The case study method will look at the facts continuously for the social group being studied by researchers. That means there aren’t interruptions in the process that could limit the validity of the data being collected through this work. This advantage reduces the need to use assumptions when drawing conclusions from the information, adding validity to the outcome of the study over time. That means the outcome becomes relevant to both sides of the equation as it can prove specific suppositions or invalidate a hypothesis under consideration.

This advantage can lead to inefficiencies because of the amount of data being studied by researchers. It is up to the individuals involved in the process to sort out what is useful and meaningful and what is not.

4. It is a useful approach to take when formulating a hypothesis. Researchers will use the case study method advantages to verify a hypothesis under consideration. It is not unusual for the collected data to lead people toward the formulation of new ideas after completing this work. This process encourages further study because it allows concepts to evolve as people do in social or physical environments. That means a complete data set can be gathered based on the skills of the researcher and the honesty of the individuals involved in the study itself.

Although this approach won’t develop a societal-level evaluation of a hypothesis, it can look at how specific groups will react in various circumstances. That information can lead to a better decision-making process in the future for everyone involved.

5. It provides an increase in knowledge. The case study method provides everyone with analytical power to increase knowledge. This advantage is possible because it uses a variety of methodologies to collect information while evaluating a hypothesis. Researchers prefer to use direct observation and interviews to complete their work, but it can also advantage through the use of questionnaires. Participants might need to fill out a journal or diary about their experiences that can be used to study behaviors or choices.

Some researchers incorporate memory tests and experimental tasks to determine how social groups will interact or respond in specific situations. All of this data then works to verify the possibilities that a hypothesis proposes.

6. The case study method allows for comparisons. The human experience is one that is built on individual observations from group situations. Specific demographics might think, act, or respond in particular ways to stimuli, but each person in that group will also contribute a small part to the whole. You could say that people are sponges that collect data from one another every day to create individual outcomes.

The case study method allows researchers to take the information from each demographic for comparison purposes. This information can then lead to proposals that support a hypothesis or lead to its disruption.

7. Data generalization is possible using the case study method. The case study method provides a foundation for data generalization, allowing researches to illustrate their statistical findings in meaningful ways. It puts the information into a usable format that almost anyone can use if they have the need to evaluate the hypothesis under consideration. This process makes it easier to discover unusual features, unique outcomes, or find conclusions that wouldn’t be available without this method. It does an excellent job of identifying specific concepts that relate to the proposed ideas that researchers were verifying through their work.

Generalization does not apply to a larger population group with the case study method. What researchers can do with this information is to suggest a predictable outcome when similar groups are placed in an equal situation.

8. It offers a comprehensive approach to research. Nothing gets ignored when using the case study method to collect information. Every person, place, or thing involved in the research receives the complete attention of those seeking data. The interactions are equal, which means the data is comprehensive and directly reflective of the group being observed.

This advantage means that there are fewer outliers to worry about when researching an idea, leading to a higher level of accuracy in the conclusions drawn by the researchers.

9. The identification of deviant cases is possible with this method. The case study method of research makes it easier to identify deviant cases that occur in each social group. These incidents are units (people) that behave in ways that go against the hypothesis under consideration. Instead of ignoring them like other options do when collecting data, this approach incorporates the “rogue” behavior to understand why it exists in the first place.

This advantage makes the eventual data and conclusions gathered more reliable because it incorporates the “alternative opinion” that exists. One might say that the case study method places as much emphasis on the yin as it does the yang so that the whole picture becomes available to the outside observer.

10. Questionnaire development is possible with the case study method. Interviews and direct observation are the preferred methods of implementing the case study method because it is cheap and done remotely. The information gathered by researchers can also lead to farming questionnaires that can farm additional data from those being studied. When all of the data resources come together, it is easier to formulate a conclusion that accurately reflects the demographics.

Some people in the case study method may try to manipulate the results for personal reasons, but this advantage makes it possible to identify this information readily. Then researchers can look into the thinking that goes into the dishonest behaviors observed.

List of the Disadvantages of the Case Study Method

1. The case study method offers limited representation. The usefulness of the case study method is limited to a specific group of representatives. Researchers are looking at a specific demographic when using this option. That means it is impossible to create any generalization that applies to the rest of society, an organization, or a larger community with this work. The findings can only apply to other groups caught in similar circumstances with the same experiences.

It is useful to use the case study method when attempting to discover the specific reasons why some people behave in a specific way. If researchers need something more generalized, then a different method must be used.

2. No classification is possible with the case study method. This disadvantage is also due to the sample size in the case study method. No classification is possible because researchers are studying such a small unit, group, or demographic. It can be an inefficient process since the skills of the researcher help to determine the quality of the data being collected to verify the validity of a hypothesis. Some participants may be unwilling to answer or participate, while others might try to guess at the outcome to support it.

Researchers can get trapped in a place where they explore more tangents than the actual hypothesis with this option. Classification can occur within the units being studied, but this data cannot extrapolate to other demographics.

3. The case study method still offers the possibility of errors. Each person has an unconscious bias that influences their behaviors and choices. The case study method can find outliers that oppose a hypothesis fairly easily thanks to its emphasis on finding facts, but it is up to the researchers to determine what information qualifies for this designation. If the results from the case study method are surprising or go against the opinion of participating individuals, then there is still the possibility that the information will not be 100% accurate.

Researchers must have controls in place that dictate how data gathering work occurs. Without this limitation in place, the results of the study cannot be guaranteed because of the presence of bias.

4. It is a subjective method to use for research. Although the purpose of the case study method of research is to gather facts, the foundation of what gets gathered is still based on opinion. It uses the subjective method instead of the objective one when evaluating data, which means there can be another layer of errors in the information to consider.

Imagine that a researcher interprets someone’s response as “angry” when performing direct observation, but the individual was feeling “shame” because of a decision they made. The difference between those two emotions is profound, and it could lead to information disruptions that could be problematic to the eventual work of hypothesis verification.

5. The processes required by the case study method are not useful for everyone. The case study method uses a person’s memories, explanations, and records from photographs and diaries to identify interactions on influences on psychological processes. People are given the chance to describe what happens in the world around them as a way for researchers to gather data. This process can be an advantage in some industries, but it can also be a worthless approach to some groups.

If the social group under study doesn’t have the information, knowledge, or wisdom to provide meaningful data, then the processes are no longer useful. Researchers must weigh the advantages and disadvantages of the case study method before starting their work to determine if the possibility of value exists. If it does not, then a different method may be necessary.

6. It is possible for bias to form in the data. It’s not just an unconscious bias that can form in the data when using the case study method. The narrow study approach can lead to outright discrimination in the data. Researchers can decide to ignore outliers or any other information that doesn’t support their hypothesis when using this method. The subjective nature of this approach makes it difficult to challenge the conclusions that get drawn from this work, and the limited pool of units (people) means that duplication is almost impossible.

That means unethical people can manipulate the results gathered by the case study method to their own advantage without much accountability in the process.

7. This method has no fixed limits to it. This method of research is highly dependent on situational circumstances rather than overarching societal or corporate truths. That means the researcher has no fixed limits of investigation. Even when controls are in place to limit bias or recommend specific activities, the case study method has enough flexibility built into its structures to allow for additional exploration. That means it is possible for this work to continue indefinitely, gathering data that never becomes useful.

Scientists began to track the health of 268 sophomores at Harvard in 1938. The Great Depression was in its final years at that point, so the study hoped to reveal clues that lead to happy and healthy lives. It continues still today, now incorporating the children of the original participants, providing over 80 years of information to sort through for conclusions.

8. The case study method is time-consuming and expensive. The case study method can be affordable in some situations, but the lack of fixed limits and the ability to pursue tangents can make it a costly process in most situations. It takes time to gather the data in the first place, and then researchers must interpret the information received so that they can use it for hypothesis evaluation. There are other methods of data collection that can be less expensive and provide results faster.

That doesn’t mean the case study method is useless. The individualization of results can help the decision-making process advance in a variety of industries successfully. It just takes more time to reach the appropriate conclusion, and that might be a resource that isn’t available.

The advantages and disadvantages of the case study method suggest that the helpfulness of this research option depends on the specific hypothesis under consideration. When researchers have the correct skills and mindset to gather data accurately, then it can lead to supportive data that can verify ideas with tremendous accuracy.

This research method can also be used unethically to produce specific results that can be difficult to challenge.

When bias enters into the structure of the case study method, the processes become inefficient, inaccurate, and harmful to the hypothesis. That’s why great care must be taken when designing a study with this approach. It might be a labor-intensive way to develop conclusions, but the outcomes are often worth the investments needed.

• Open access
• Published: 27 June 2011

The case study approach

• Sarah Crowe 1 ,
• Kathrin Cresswell 2 ,
• Ann Robertson 2 ,
• Guro Huby 3 ,
• Anthony Avery 1 &
• Aziz Sheikh 2  

BMC Medical Research Methodology volume  11 , Article number:  100 ( 2011 ) Cite this article

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The case study approach allows in-depth, multi-faceted explorations of complex issues in their real-life settings. The value of the case study approach is well recognised in the fields of business, law and policy, but somewhat less so in health services research. Based on our experiences of conducting several health-related case studies, we reflect on the different types of case study design, the specific research questions this approach can help answer, the data sources that tend to be used, and the particular advantages and disadvantages of employing this methodological approach. The paper concludes with key pointers to aid those designing and appraising proposals for conducting case study research, and a checklist to help readers assess the quality of case study reports.

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Introduction

The case study approach is particularly useful to employ when there is a need to obtain an in-depth appreciation of an issue, event or phenomenon of interest, in its natural real-life context. Our aim in writing this piece is to provide insights into when to consider employing this approach and an overview of key methodological considerations in relation to the design, planning, analysis, interpretation and reporting of case studies.

The illustrative 'grand round', 'case report' and 'case series' have a long tradition in clinical practice and research. Presenting detailed critiques, typically of one or more patients, aims to provide insights into aspects of the clinical case and, in doing so, illustrate broader lessons that may be learnt. In research, the conceptually-related case study approach can be used, for example, to describe in detail a patient's episode of care, explore professional attitudes to and experiences of a new policy initiative or service development or more generally to 'investigate contemporary phenomena within its real-life context' [ 1 ]. Based on our experiences of conducting a range of case studies, we reflect on when to consider using this approach, discuss the key steps involved and illustrate, with examples, some of the practical challenges of attaining an in-depth understanding of a 'case' as an integrated whole. In keeping with previously published work, we acknowledge the importance of theory to underpin the design, selection, conduct and interpretation of case studies[ 2 ]. In so doing, we make passing reference to the different epistemological approaches used in case study research by key theoreticians and methodologists in this field of enquiry.

This paper is structured around the following main questions: What is a case study? What are case studies used for? How are case studies conducted? What are the potential pitfalls and how can these be avoided? We draw in particular on four of our own recently published examples of case studies (see Tables 1 , 2 , 3 and 4 ) and those of others to illustrate our discussion[ 3 – 7 ].

What is a case study?

A case study is a research approach that is used to generate an in-depth, multi-faceted understanding of a complex issue in its real-life context. It is an established research design that is used extensively in a wide variety of disciplines, particularly in the social sciences. A case study can be defined in a variety of ways (Table 5 ), the central tenet being the need to explore an event or phenomenon in depth and in its natural context. It is for this reason sometimes referred to as a "naturalistic" design; this is in contrast to an "experimental" design (such as a randomised controlled trial) in which the investigator seeks to exert control over and manipulate the variable(s) of interest.

Stake's work has been particularly influential in defining the case study approach to scientific enquiry. He has helpfully characterised three main types of case study: intrinsic , instrumental and collective [ 8 ]. An intrinsic case study is typically undertaken to learn about a unique phenomenon. The researcher should define the uniqueness of the phenomenon, which distinguishes it from all others. In contrast, the instrumental case study uses a particular case (some of which may be better than others) to gain a broader appreciation of an issue or phenomenon. The collective case study involves studying multiple cases simultaneously or sequentially in an attempt to generate a still broader appreciation of a particular issue.

These are however not necessarily mutually exclusive categories. In the first of our examples (Table 1 ), we undertook an intrinsic case study to investigate the issue of recruitment of minority ethnic people into the specific context of asthma research studies, but it developed into a instrumental case study through seeking to understand the issue of recruitment of these marginalised populations more generally, generating a number of the findings that are potentially transferable to other disease contexts[ 3 ]. In contrast, the other three examples (see Tables 2 , 3 and 4 ) employed collective case study designs to study the introduction of workforce reconfiguration in primary care, the implementation of electronic health records into hospitals, and to understand the ways in which healthcare students learn about patient safety considerations[ 4 – 6 ]. Although our study focusing on the introduction of General Practitioners with Specialist Interests (Table 2 ) was explicitly collective in design (four contrasting primary care organisations were studied), is was also instrumental in that this particular professional group was studied as an exemplar of the more general phenomenon of workforce redesign[ 4 ].

What are case studies used for?

According to Yin, case studies can be used to explain, describe or explore events or phenomena in the everyday contexts in which they occur[ 1 ]. These can, for example, help to understand and explain causal links and pathways resulting from a new policy initiative or service development (see Tables 2 and 3 , for example)[ 1 ]. In contrast to experimental designs, which seek to test a specific hypothesis through deliberately manipulating the environment (like, for example, in a randomised controlled trial giving a new drug to randomly selected individuals and then comparing outcomes with controls),[ 9 ] the case study approach lends itself well to capturing information on more explanatory ' how ', 'what' and ' why ' questions, such as ' how is the intervention being implemented and received on the ground?'. The case study approach can offer additional insights into what gaps exist in its delivery or why one implementation strategy might be chosen over another. This in turn can help develop or refine theory, as shown in our study of the teaching of patient safety in undergraduate curricula (Table 4 )[ 6 , 10 ]. Key questions to consider when selecting the most appropriate study design are whether it is desirable or indeed possible to undertake a formal experimental investigation in which individuals and/or organisations are allocated to an intervention or control arm? Or whether the wish is to obtain a more naturalistic understanding of an issue? The former is ideally studied using a controlled experimental design, whereas the latter is more appropriately studied using a case study design.

Case studies may be approached in different ways depending on the epistemological standpoint of the researcher, that is, whether they take a critical (questioning one's own and others' assumptions), interpretivist (trying to understand individual and shared social meanings) or positivist approach (orientating towards the criteria of natural sciences, such as focusing on generalisability considerations) (Table 6 ). Whilst such a schema can be conceptually helpful, it may be appropriate to draw on more than one approach in any case study, particularly in the context of conducting health services research. Doolin has, for example, noted that in the context of undertaking interpretative case studies, researchers can usefully draw on a critical, reflective perspective which seeks to take into account the wider social and political environment that has shaped the case[ 11 ].

How are case studies conducted?

Here, we focus on the main stages of research activity when planning and undertaking a case study; the crucial stages are: defining the case; selecting the case(s); collecting and analysing the data; interpreting data; and reporting the findings.

Defining the case

Carefully formulated research question(s), informed by the existing literature and a prior appreciation of the theoretical issues and setting(s), are all important in appropriately and succinctly defining the case[ 8 , 12 ]. Crucially, each case should have a pre-defined boundary which clarifies the nature and time period covered by the case study (i.e. its scope, beginning and end), the relevant social group, organisation or geographical area of interest to the investigator, the types of evidence to be collected, and the priorities for data collection and analysis (see Table 7 )[ 1 ]. A theory driven approach to defining the case may help generate knowledge that is potentially transferable to a range of clinical contexts and behaviours; using theory is also likely to result in a more informed appreciation of, for example, how and why interventions have succeeded or failed[ 13 ].

For example, in our evaluation of the introduction of electronic health records in English hospitals (Table 3 ), we defined our cases as the NHS Trusts that were receiving the new technology[ 5 ]. Our focus was on how the technology was being implemented. However, if the primary research interest had been on the social and organisational dimensions of implementation, we might have defined our case differently as a grouping of healthcare professionals (e.g. doctors and/or nurses). The precise beginning and end of the case may however prove difficult to define. Pursuing this same example, when does the process of implementation and adoption of an electronic health record system really begin or end? Such judgements will inevitably be influenced by a range of factors, including the research question, theory of interest, the scope and richness of the gathered data and the resources available to the research team.

Selecting the case(s)

The decision on how to select the case(s) to study is a very important one that merits some reflection. In an intrinsic case study, the case is selected on its own merits[ 8 ]. The case is selected not because it is representative of other cases, but because of its uniqueness, which is of genuine interest to the researchers. This was, for example, the case in our study of the recruitment of minority ethnic participants into asthma research (Table 1 ) as our earlier work had demonstrated the marginalisation of minority ethnic people with asthma, despite evidence of disproportionate asthma morbidity[ 14 , 15 ]. In another example of an intrinsic case study, Hellstrom et al.[ 16 ] studied an elderly married couple living with dementia to explore how dementia had impacted on their understanding of home, their everyday life and their relationships.

For an instrumental case study, selecting a "typical" case can work well[ 8 ]. In contrast to the intrinsic case study, the particular case which is chosen is of less importance than selecting a case that allows the researcher to investigate an issue or phenomenon. For example, in order to gain an understanding of doctors' responses to health policy initiatives, Som undertook an instrumental case study interviewing clinicians who had a range of responsibilities for clinical governance in one NHS acute hospital trust[ 17 ]. Sampling a "deviant" or "atypical" case may however prove even more informative, potentially enabling the researcher to identify causal processes, generate hypotheses and develop theory.

In collective or multiple case studies, a number of cases are carefully selected. This offers the advantage of allowing comparisons to be made across several cases and/or replication. Choosing a "typical" case may enable the findings to be generalised to theory (i.e. analytical generalisation) or to test theory by replicating the findings in a second or even a third case (i.e. replication logic)[ 1 ]. Yin suggests two or three literal replications (i.e. predicting similar results) if the theory is straightforward and five or more if the theory is more subtle. However, critics might argue that selecting 'cases' in this way is insufficiently reflexive and ill-suited to the complexities of contemporary healthcare organisations.

The selected case study site(s) should allow the research team access to the group of individuals, the organisation, the processes or whatever else constitutes the chosen unit of analysis for the study. Access is therefore a central consideration; the researcher needs to come to know the case study site(s) well and to work cooperatively with them. Selected cases need to be not only interesting but also hospitable to the inquiry [ 8 ] if they are to be informative and answer the research question(s). Case study sites may also be pre-selected for the researcher, with decisions being influenced by key stakeholders. For example, our selection of case study sites in the evaluation of the implementation and adoption of electronic health record systems (see Table 3 ) was heavily influenced by NHS Connecting for Health, the government agency that was responsible for overseeing the National Programme for Information Technology (NPfIT)[ 5 ]. This prominent stakeholder had already selected the NHS sites (through a competitive bidding process) to be early adopters of the electronic health record systems and had negotiated contracts that detailed the deployment timelines.

It is also important to consider in advance the likely burden and risks associated with participation for those who (or the site(s) which) comprise the case study. Of particular importance is the obligation for the researcher to think through the ethical implications of the study (e.g. the risk of inadvertently breaching anonymity or confidentiality) and to ensure that potential participants/participating sites are provided with sufficient information to make an informed choice about joining the study. The outcome of providing this information might be that the emotive burden associated with participation, or the organisational disruption associated with supporting the fieldwork, is considered so high that the individuals or sites decide against participation.

In our example of evaluating implementations of electronic health record systems, given the restricted number of early adopter sites available to us, we sought purposively to select a diverse range of implementation cases among those that were available[ 5 ]. We chose a mixture of teaching, non-teaching and Foundation Trust hospitals, and examples of each of the three electronic health record systems procured centrally by the NPfIT. At one recruited site, it quickly became apparent that access was problematic because of competing demands on that organisation. Recognising the importance of full access and co-operative working for generating rich data, the research team decided not to pursue work at that site and instead to focus on other recruited sites.

Collecting the data

In order to develop a thorough understanding of the case, the case study approach usually involves the collection of multiple sources of evidence, using a range of quantitative (e.g. questionnaires, audits and analysis of routinely collected healthcare data) and more commonly qualitative techniques (e.g. interviews, focus groups and observations). The use of multiple sources of data (data triangulation) has been advocated as a way of increasing the internal validity of a study (i.e. the extent to which the method is appropriate to answer the research question)[ 8 , 18 – 21 ]. An underlying assumption is that data collected in different ways should lead to similar conclusions, and approaching the same issue from different angles can help develop a holistic picture of the phenomenon (Table 2 )[ 4 ].

Brazier and colleagues used a mixed-methods case study approach to investigate the impact of a cancer care programme[ 22 ]. Here, quantitative measures were collected with questionnaires before, and five months after, the start of the intervention which did not yield any statistically significant results. Qualitative interviews with patients however helped provide an insight into potentially beneficial process-related aspects of the programme, such as greater, perceived patient involvement in care. The authors reported how this case study approach provided a number of contextual factors likely to influence the effectiveness of the intervention and which were not likely to have been obtained from quantitative methods alone.

In collective or multiple case studies, data collection needs to be flexible enough to allow a detailed description of each individual case to be developed (e.g. the nature of different cancer care programmes), before considering the emerging similarities and differences in cross-case comparisons (e.g. to explore why one programme is more effective than another). It is important that data sources from different cases are, where possible, broadly comparable for this purpose even though they may vary in nature and depth.

Analysing, interpreting and reporting case studies

Making sense and offering a coherent interpretation of the typically disparate sources of data (whether qualitative alone or together with quantitative) is far from straightforward. Repeated reviewing and sorting of the voluminous and detail-rich data are integral to the process of analysis. In collective case studies, it is helpful to analyse data relating to the individual component cases first, before making comparisons across cases. Attention needs to be paid to variations within each case and, where relevant, the relationship between different causes, effects and outcomes[ 23 ]. Data will need to be organised and coded to allow the key issues, both derived from the literature and emerging from the dataset, to be easily retrieved at a later stage. An initial coding frame can help capture these issues and can be applied systematically to the whole dataset with the aid of a qualitative data analysis software package.

The Framework approach is a practical approach, comprising of five stages (familiarisation; identifying a thematic framework; indexing; charting; mapping and interpretation) , to managing and analysing large datasets particularly if time is limited, as was the case in our study of recruitment of South Asians into asthma research (Table 1 )[ 3 , 24 ]. Theoretical frameworks may also play an important role in integrating different sources of data and examining emerging themes. For example, we drew on a socio-technical framework to help explain the connections between different elements - technology; people; and the organisational settings within which they worked - in our study of the introduction of electronic health record systems (Table 3 )[ 5 ]. Our study of patient safety in undergraduate curricula drew on an evaluation-based approach to design and analysis, which emphasised the importance of the academic, organisational and practice contexts through which students learn (Table 4 )[ 6 ].

Case study findings can have implications both for theory development and theory testing. They may establish, strengthen or weaken historical explanations of a case and, in certain circumstances, allow theoretical (as opposed to statistical) generalisation beyond the particular cases studied[ 12 ]. These theoretical lenses should not, however, constitute a strait-jacket and the cases should not be "forced to fit" the particular theoretical framework that is being employed.

When reporting findings, it is important to provide the reader with enough contextual information to understand the processes that were followed and how the conclusions were reached. In a collective case study, researchers may choose to present the findings from individual cases separately before amalgamating across cases. Care must be taken to ensure the anonymity of both case sites and individual participants (if agreed in advance) by allocating appropriate codes or withholding descriptors. In the example given in Table 3 , we decided against providing detailed information on the NHS sites and individual participants in order to avoid the risk of inadvertent disclosure of identities[ 5 , 25 ].

What are the potential pitfalls and how can these be avoided?

The case study approach is, as with all research, not without its limitations. When investigating the formal and informal ways undergraduate students learn about patient safety (Table 4 ), for example, we rapidly accumulated a large quantity of data. The volume of data, together with the time restrictions in place, impacted on the depth of analysis that was possible within the available resources. This highlights a more general point of the importance of avoiding the temptation to collect as much data as possible; adequate time also needs to be set aside for data analysis and interpretation of what are often highly complex datasets.

Case study research has sometimes been criticised for lacking scientific rigour and providing little basis for generalisation (i.e. producing findings that may be transferable to other settings)[ 1 ]. There are several ways to address these concerns, including: the use of theoretical sampling (i.e. drawing on a particular conceptual framework); respondent validation (i.e. participants checking emerging findings and the researcher's interpretation, and providing an opinion as to whether they feel these are accurate); and transparency throughout the research process (see Table 8 )[ 8 , 18 – 21 , 23 , 26 ]. Transparency can be achieved by describing in detail the steps involved in case selection, data collection, the reasons for the particular methods chosen, and the researcher's background and level of involvement (i.e. being explicit about how the researcher has influenced data collection and interpretation). Seeking potential, alternative explanations, and being explicit about how interpretations and conclusions were reached, help readers to judge the trustworthiness of the case study report. Stake provides a critique checklist for a case study report (Table 9 )[ 8 ].

Conclusions

The case study approach allows, amongst other things, critical events, interventions, policy developments and programme-based service reforms to be studied in detail in a real-life context. It should therefore be considered when an experimental design is either inappropriate to answer the research questions posed or impossible to undertake. Considering the frequency with which implementations of innovations are now taking place in healthcare settings and how well the case study approach lends itself to in-depth, complex health service research, we believe this approach should be more widely considered by researchers. Though inherently challenging, the research case study can, if carefully conceptualised and thoughtfully undertaken and reported, yield powerful insights into many important aspects of health and healthcare delivery.

Yin RK: Case study research, design and method. 2009, London: Sage Publications Ltd., 4

Google Scholar  

Keen J, Packwood T: Qualitative research; case study evaluation. BMJ. 1995, 311: 444-446.

Article   CAS   PubMed   PubMed Central   Google Scholar  

Sheikh A, Halani L, Bhopal R, Netuveli G, Partridge M, Car J, et al: Facilitating the Recruitment of Minority Ethnic People into Research: Qualitative Case Study of South Asians and Asthma. PLoS Med. 2009, 6 (10): 1-11.

Article   Google Scholar  

Pinnock H, Huby G, Powell A, Kielmann T, Price D, Williams S, et al: The process of planning, development and implementation of a General Practitioner with a Special Interest service in Primary Care Organisations in England and Wales: a comparative prospective case study. Report for the National Co-ordinating Centre for NHS Service Delivery and Organisation R&D (NCCSDO). 2008, [ http://www.sdo.nihr.ac.uk/files/project/99-final-report.pdf ]

Robertson A, Cresswell K, Takian A, Petrakaki D, Crowe S, Cornford T, et al: Prospective evaluation of the implementation and adoption of NHS Connecting for Health's national electronic health record in secondary care in England: interim findings. BMJ. 2010, 41: c4564-

Pearson P, Steven A, Howe A, Sheikh A, Ashcroft D, Smith P, the Patient Safety Education Study Group: Learning about patient safety: organisational context and culture in the education of healthcare professionals. J Health Serv Res Policy. 2010, 15: 4-10. 10.1258/jhsrp.2009.009052.

Article   PubMed   Google Scholar  

van Harten WH, Casparie TF, Fisscher OA: The evaluation of the introduction of a quality management system: a process-oriented case study in a large rehabilitation hospital. Health Policy. 2002, 60 (1): 17-37. 10.1016/S0168-8510(01)00187-7.

Stake RE: The art of case study research. 1995, London: Sage Publications Ltd.

Sheikh A, Smeeth L, Ashcroft R: Randomised controlled trials in primary care: scope and application. Br J Gen Pract. 2002, 52 (482): 746-51.

PubMed   PubMed Central   Google Scholar  

King G, Keohane R, Verba S: Designing Social Inquiry. 1996, Princeton: Princeton University Press

Doolin B: Information technology as disciplinary technology: being critical in interpretative research on information systems. Journal of Information Technology. 1998, 13: 301-311. 10.1057/jit.1998.8.

George AL, Bennett A: Case studies and theory development in the social sciences. 2005, Cambridge, MA: MIT Press

Eccles M, the Improved Clinical Effectiveness through Behavioural Research Group (ICEBeRG): Designing theoretically-informed implementation interventions. Implementation Science. 2006, 1: 1-8. 10.1186/1748-5908-1-1.

Article   PubMed Central   Google Scholar  

Netuveli G, Hurwitz B, Levy M, Fletcher M, Barnes G, Durham SR, Sheikh A: Ethnic variations in UK asthma frequency, morbidity, and health-service use: a systematic review and meta-analysis. Lancet. 2005, 365 (9456): 312-7.

Sheikh A, Panesar SS, Lasserson T, Netuveli G: Recruitment of ethnic minorities to asthma studies. Thorax. 2004, 59 (7): 634-

CAS   PubMed   PubMed Central   Google Scholar  

Hellström I, Nolan M, Lundh U: 'We do things together': A case study of 'couplehood' in dementia. Dementia. 2005, 4: 7-22. 10.1177/1471301205049188.

Som CV: Nothing seems to have changed, nothing seems to be changing and perhaps nothing will change in the NHS: doctors' response to clinical governance. International Journal of Public Sector Management. 2005, 18: 463-477. 10.1108/09513550510608903.

Lincoln Y, Guba E: Naturalistic inquiry. 1985, Newbury Park: Sage Publications

Barbour RS: Checklists for improving rigour in qualitative research: a case of the tail wagging the dog?. BMJ. 2001, 322: 1115-1117. 10.1136/bmj.322.7294.1115.

Mays N, Pope C: Qualitative research in health care: Assessing quality in qualitative research. BMJ. 2000, 320: 50-52. 10.1136/bmj.320.7226.50.

Mason J: Qualitative researching. 2002, London: Sage

Brazier A, Cooke K, Moravan V: Using Mixed Methods for Evaluating an Integrative Approach to Cancer Care: A Case Study. Integr Cancer Ther. 2008, 7: 5-17. 10.1177/1534735407313395.

Miles MB, Huberman M: Qualitative data analysis: an expanded sourcebook. 1994, CA: Sage Publications Inc., 2

Pope C, Ziebland S, Mays N: Analysing qualitative data. Qualitative research in health care. BMJ. 2000, 320: 114-116. 10.1136/bmj.320.7227.114.

Cresswell KM, Worth A, Sheikh A: Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare. BMC Med Inform Decis Mak. 2010, 10 (1): 67-10.1186/1472-6947-10-67.

Article   PubMed   PubMed Central   Google Scholar  

Malterud K: Qualitative research: standards, challenges, and guidelines. Lancet. 2001, 358: 483-488. 10.1016/S0140-6736(01)05627-6.

Article   CAS   PubMed   Google Scholar  

Yin R: Case study research: design and methods. 1994, Thousand Oaks, CA: Sage Publishing, 2

Yin R: Enhancing the quality of case studies in health services research. Health Serv Res. 1999, 34: 1209-1224.

Green J, Thorogood N: Qualitative methods for health research. 2009, Los Angeles: Sage, 2

Howcroft D, Trauth E: Handbook of Critical Information Systems Research, Theory and Application. 2005, Cheltenham, UK: Northampton, MA, USA: Edward Elgar

Book   Google Scholar  

Blakie N: Approaches to Social Enquiry. 1993, Cambridge: Polity Press

Doolin B: Power and resistance in the implementation of a medical management information system. Info Systems J. 2004, 14: 343-362. 10.1111/j.1365-2575.2004.00176.x.

Bloomfield BP, Best A: Management consultants: systems development, power and the translation of problems. Sociological Review. 1992, 40: 533-560.

Shanks G, Parr A: Positivist, single case study research in information systems: A critical analysis. Proceedings of the European Conference on Information Systems. 2003, Naples

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Acknowledgements

We are grateful to the participants and colleagues who contributed to the individual case studies that we have drawn on. This work received no direct funding, but it has been informed by projects funded by Asthma UK, the NHS Service Delivery Organisation, NHS Connecting for Health Evaluation Programme, and Patient Safety Research Portfolio. We would also like to thank the expert reviewers for their insightful and constructive feedback. Our thanks are also due to Dr. Allison Worth who commented on an earlier draft of this manuscript.

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AS conceived this article. SC, KC and AR wrote this paper with GH, AA and AS all commenting on various drafts. SC and AS are guarantors.

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Case Study Research Method in Psychology

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Case studies are in-depth investigations of a person, group, event, or community. Typically, data is gathered from various sources using several methods (e.g., observations & interviews).

The case study research method originated in clinical medicine (the case history, i.e., the patient’s personal history). In psychology, case studies are often confined to the study of a particular individual.

The information is mainly biographical and relates to events in the individual’s past (i.e., retrospective), as well as to significant events that are currently occurring in his or her everyday life.

The case study is not a research method, but researchers select methods of data collection and analysis that will generate material suitable for case studies.

Freud (1909a, 1909b) conducted very detailed investigations into the private lives of his patients in an attempt to both understand and help them overcome their illnesses.

This makes it clear that the case study is a method that should only be used by a psychologist, therapist, or psychiatrist, i.e., someone with a professional qualification.

There is an ethical issue of competence. Only someone qualified to diagnose and treat a person can conduct a formal case study relating to atypical (i.e., abnormal) behavior or atypical development.

 Famous Case Studies

• Anna O – One of the most famous case studies, documenting psychoanalyst Josef Breuer’s treatment of “Anna O” (real name Bertha Pappenheim) for hysteria in the late 1800s using early psychoanalytic theory.
• Little Hans – A child psychoanalysis case study published by Sigmund Freud in 1909 analyzing his five-year-old patient Herbert Graf’s house phobia as related to the Oedipus complex.
• Bruce/Brenda – Gender identity case of the boy (Bruce) whose botched circumcision led psychologist John Money to advise gender reassignment and raise him as a girl (Brenda) in the 1960s.
• Genie Wiley – Linguistics/psychological development case of the victim of extreme isolation abuse who was studied in 1970s California for effects of early language deprivation on acquiring speech later in life.
• Phineas Gage – One of the most famous neuropsychology case studies analyzes personality changes in railroad worker Phineas Gage after an 1848 brain injury involving a tamping iron piercing his skull.

Clinical Case Studies

• Studying the effectiveness of psychotherapy approaches with an individual patient
• Assessing and treating mental illnesses like depression, anxiety disorders, PTSD
• Neuropsychological cases investigating brain injuries or disorders

Child Psychology Case Studies

• Studying psychological development from birth through adolescence
• Cases of learning disabilities, autism spectrum disorders, ADHD
• Effects of trauma, abuse, deprivation on development

Types of Case Studies

• Explanatory case studies : Used to explore causation in order to find underlying principles. Helpful for doing qualitative analysis to explain presumed causal links.
• Exploratory case studies : Used to explore situations where an intervention being evaluated has no clear set of outcomes. It helps define questions and hypotheses for future research.
• Descriptive case studies : Describe an intervention or phenomenon and the real-life context in which it occurred. It is helpful for illustrating certain topics within an evaluation.
• Multiple-case studies : Used to explore differences between cases and replicate findings across cases. Helpful for comparing and contrasting specific cases.
• Intrinsic : Used to gain a better understanding of a particular case. Helpful for capturing the complexity of a single case.
• Collective : Used to explore a general phenomenon using multiple case studies. Helpful for jointly studying a group of cases in order to inquire into the phenomenon.

Where Do You Find Data for a Case Study?

There are several places to find data for a case study. The key is to gather data from multiple sources to get a complete picture of the case and corroborate facts or findings through triangulation of evidence. Most of this information is likely qualitative (i.e., verbal description rather than measurement), but the psychologist might also collect numerical data.

1. Primary sources

• Interviews – Interviewing key people related to the case to get their perspectives and insights. The interview is an extremely effective procedure for obtaining information about an individual, and it may be used to collect comments from the person’s friends, parents, employer, workmates, and others who have a good knowledge of the person, as well as to obtain facts from the person him or herself.
• Observations – Observing behaviors, interactions, processes, etc., related to the case as they unfold in real-time.
• Documents & Records – Reviewing private documents, diaries, public records, correspondence, meeting minutes, etc., relevant to the case.

2. Secondary sources

• News/Media – News coverage of events related to the case study.
• Academic articles – Journal articles, dissertations etc. that discuss the case.
• Government reports – Official data and records related to the case context.
• Books/films – Books, documentaries or films discussing the case.

3. Archival records

Searching historical archives, museum collections and databases to find relevant documents, visual/audio records related to the case history and context.

Public archives like newspapers, organizational records, photographic collections could all include potentially relevant pieces of information to shed light on attitudes, cultural perspectives, common practices and historical contexts related to psychology.

4. Organizational records

Organizational records offer the advantage of often having large datasets collected over time that can reveal or confirm psychological insights.

Of course, privacy and ethical concerns regarding confidential data must be navigated carefully.

However, with proper protocols, organizational records can provide invaluable context and empirical depth to qualitative case studies exploring the intersection of psychology and organizations.

• Organizational/industrial psychology research : Organizational records like employee surveys, turnover/retention data, policies, incident reports etc. may provide insight into topics like job satisfaction, workplace culture and dynamics, leadership issues, employee behaviors etc.
• Clinical psychology : Therapists/hospitals may grant access to anonymized medical records to study aspects like assessments, diagnoses, treatment plans etc. This could shed light on clinical practices.
• School psychology : Studies could utilize anonymized student records like test scores, grades, disciplinary issues, and counseling referrals to study child development, learning barriers, effectiveness of support programs, and more.

How do I Write a Case Study in Psychology?

Follow specified case study guidelines provided by a journal or your psychology tutor. General components of clinical case studies include: background, symptoms, assessments, diagnosis, treatment, and outcomes. Interpreting the information means the researcher decides what to include or leave out. A good case study should always clarify which information is the factual description and which is an inference or the researcher’s opinion.

1. Introduction

• Provide background on the case context and why it is of interest, presenting background information like demographics, relevant history, and presenting problem.
• Compare briefly to similar published cases if applicable. Clearly state the focus/importance of the case.

2. Case Presentation

• Describe the presenting problem in detail, including symptoms, duration,and impact on daily life.
• Include client demographics like age and gender, information about social relationships, and mental health history.
• Describe all physical, emotional, and/or sensory symptoms reported by the client.
• Use patient quotes to describe the initial complaint verbatim. Follow with full-sentence summaries of relevant history details gathered, including key components that led to a working diagnosis.
• Summarize clinical exam results, namely orthopedic/neurological tests, imaging, lab tests, etc. Note actual results rather than subjective conclusions. Provide images if clearly reproducible/anonymized.
• Clearly state the working diagnosis or clinical impression before transitioning to management.

3. Management and Outcome

• Indicate the total duration of care and number of treatments given over what timeframe. Use specific names/descriptions for any therapies/interventions applied.
• Present the results of the intervention,including any quantitative or qualitative data collected.
• For outcomes, utilize visual analog scales for pain, medication usage logs, etc., if possible. Include patient self-reports of improvement/worsening of symptoms. Note the reason for discharge/end of care.

4. Discussion

• Analyze the case, exploring contributing factors, limitations of the study, and connections to existing research.
• Analyze the effectiveness of the intervention,considering factors like participant adherence, limitations of the study, and potential alternative explanations for the results.
• Identify any questions raised in the case analysis and relate insights to established theories and current research if applicable. Avoid definitive claims about physiological explanations.
• Offer clinical implications, and suggest future research directions.

5. Additional Items

• Thank specific assistants for writing support only. No patient acknowledgments.
• References should directly support any key claims or quotes included.
• Use tables/figures/images only if substantially informative. Include permissions and legends/explanatory notes.
• Provides detailed (rich qualitative) information.
• Provides insight for further research.
• Permitting investigation of otherwise impractical (or unethical) situations.

Case studies allow a researcher to investigate a topic in far more detail than might be possible if they were trying to deal with a large number of research participants (nomothetic approach) with the aim of ‘averaging’.

Because of their in-depth, multi-sided approach, case studies often shed light on aspects of human thinking and behavior that would be unethical or impractical to study in other ways.

Research that only looks into the measurable aspects of human behavior is not likely to give us insights into the subjective dimension of experience, which is important to psychoanalytic and humanistic psychologists.

Case studies are often used in exploratory research. They can help us generate new ideas (that might be tested by other methods). They are an important way of illustrating theories and can help show how different aspects of a person’s life are related to each other.

The method is, therefore, important for psychologists who adopt a holistic point of view (i.e., humanistic psychologists ).

Limitations

• Lacking scientific rigor and providing little basis for generalization of results to the wider population.
• Researchers’ own subjective feelings may influence the case study (researcher bias).
• Difficult to replicate.
• Time-consuming and expensive.
• The volume of data, together with the time restrictions in place, impacted the depth of analysis that was possible within the available resources.

Because a case study deals with only one person/event/group, we can never be sure if the case study investigated is representative of the wider body of “similar” instances. This means the conclusions drawn from a particular case may not be transferable to other settings.

Because case studies are based on the analysis of qualitative (i.e., descriptive) data , a lot depends on the psychologist’s interpretation of the information she has acquired.

This means that there is a lot of scope for Anna O , and it could be that the subjective opinions of the psychologist intrude in the assessment of what the data means.

For example, Freud has been criticized for producing case studies in which the information was sometimes distorted to fit particular behavioral theories (e.g., Little Hans ).

This is also true of Money’s interpretation of the Bruce/Brenda case study (Diamond, 1997) when he ignored evidence that went against his theory.

Breuer, J., & Freud, S. (1895).  Studies on hysteria . Standard Edition 2: London.

Curtiss, S. (1981). Genie: The case of a modern wild child .

Diamond, M., & Sigmundson, K. (1997). Sex Reassignment at Birth: Long-term Review and Clinical Implications. Archives of Pediatrics & Adolescent Medicine , 151(3), 298-304

Freud, S. (1909a). Analysis of a phobia of a five year old boy. In The Pelican Freud Library (1977), Vol 8, Case Histories 1, pages 169-306

Freud, S. (1909b). Bemerkungen über einen Fall von Zwangsneurose (Der “Rattenmann”). Jb. psychoanal. psychopathol. Forsch ., I, p. 357-421; GW, VII, p. 379-463; Notes upon a case of obsessional neurosis, SE , 10: 151-318.

Harlow J. M. (1848). Passage of an iron rod through the head.  Boston Medical and Surgical Journal, 39 , 389–393.

Harlow, J. M. (1868).  Recovery from the Passage of an Iron Bar through the Head .  Publications of the Massachusetts Medical Society. 2  (3), 327-347.

Money, J., & Ehrhardt, A. A. (1972).  Man & Woman, Boy & Girl : The Differentiation and Dimorphism of Gender Identity from Conception to Maturity. Baltimore, Maryland: Johns Hopkins University Press.

Money, J., & Tucker, P. (1975). Sexual signatures: On being a man or a woman.

Further Information

• Case Study Approach
• Case Study Method
• Enhancing the Quality of Case Studies in Health Services Research
• “We do things together” A case study of “couplehood” in dementia
• Using mixed methods for evaluating an integrative approach to cancer care: a case study

Related Articles

Research Methodology

Discourse Analysis

Phenomenology In Qualitative Research

Ethnography In Qualitative Research

Narrative Analysis In Qualitative Research

Thematic Analysis: A Step by Step Guide

Metasynthesis Of Qualitative Research

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What the Case Study Method Really Teaches

• Nitin Nohria

Seven meta-skills that stick even if the cases fade from memory.

It’s been 100 years since Harvard Business School began using the case study method. Beyond teaching specific subject matter, the case study method excels in instilling meta-skills in students. This article explains the importance of seven such skills: preparation, discernment, bias recognition, judgement, collaboration, curiosity, and self-confidence.

During my decade as dean of Harvard Business School, I spent hundreds of hours talking with our alumni. To enliven these conversations, I relied on a favorite question: “What was the most important thing you learned from your time in our MBA program?”

• Nitin Nohria is the George F. Baker Jr. and Distinguished Service University Professor. He served as the 10th dean of Harvard Business School, from 2010 to 2020.

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• Volume 21, Issue 1
• What is a case study?
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• Roberta Heale 1 ,
• Alison Twycross 2
• 1 School of Nursing , Laurentian University , Sudbury , Ontario , Canada
• 2 School of Health and Social Care , London South Bank University , London , UK
• Correspondence to Dr Roberta Heale, School of Nursing, Laurentian University, Sudbury, ON P3E2C6, Canada; rheale{at}laurentian.ca

https://doi.org/10.1136/eb-2017-102845

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What is it?

Case study is a research methodology, typically seen in social and life sciences. There is no one definition of case study research. 1 However, very simply… ‘a case study can be defined as an intensive study about a person, a group of people or a unit, which is aimed to generalize over several units’. 1 A case study has also been described as an intensive, systematic investigation of a single individual, group, community or some other unit in which the researcher examines in-depth data relating to several variables. 2

Often there are several similar cases to consider such as educational or social service programmes that are delivered from a number of locations. Although similar, they are complex and have unique features. In these circumstances, the evaluation of several, similar cases will provide a better answer to a research question than if only one case is examined, hence the multiple-case study. Stake asserts that the cases are grouped and viewed as one entity, called the quintain . 6  ‘We study what is similar and different about the cases to understand the quintain better’. 6

The steps when using case study methodology are the same as for other types of research. 6 The first step is defining the single case or identifying a group of similar cases that can then be incorporated into a multiple-case study. A search to determine what is known about the case(s) is typically conducted. This may include a review of the literature, grey literature, media, reports and more, which serves to establish a basic understanding of the cases and informs the development of research questions. Data in case studies are often, but not exclusively, qualitative in nature. In multiple-case studies, analysis within cases and across cases is conducted. Themes arise from the analyses and assertions about the cases as a whole, or the quintain, emerge. 6

Benefits and limitations of case studies

If a researcher wants to study a specific phenomenon arising from a particular entity, then a single-case study is warranted and will allow for a in-depth understanding of the single phenomenon and, as discussed above, would involve collecting several different types of data. This is illustrated in example 1 below.

Using a multiple-case research study allows for a more in-depth understanding of the cases as a unit, through comparison of similarities and differences of the individual cases embedded within the quintain. Evidence arising from multiple-case studies is often stronger and more reliable than from single-case research. Multiple-case studies allow for more comprehensive exploration of research questions and theory development. 6

Despite the advantages of case studies, there are limitations. The sheer volume of data is difficult to organise and data analysis and integration strategies need to be carefully thought through. There is also sometimes a temptation to veer away from the research focus. 2 Reporting of findings from multiple-case research studies is also challenging at times, 1 particularly in relation to the word limits for some journal papers.

Examples of case studies

Example 1: nurses’ paediatric pain management practices.

One of the authors of this paper (AT) has used a case study approach to explore nurses’ paediatric pain management practices. This involved collecting several datasets:

Observational data to gain a picture about actual pain management practices.

Questionnaire data about nurses’ knowledge about paediatric pain management practices and how well they felt they managed pain in children.

Questionnaire data about how critical nurses perceived pain management tasks to be.

These datasets were analysed separately and then compared 7–9 and demonstrated that nurses’ level of theoretical did not impact on the quality of their pain management practices. 7 Nor did individual nurse’s perceptions of how critical a task was effect the likelihood of them carrying out this task in practice. 8 There was also a difference in self-reported and observed practices 9 ; actual (observed) practices did not confirm to best practice guidelines, whereas self-reported practices tended to.

Example 2: quality of care for complex patients at Nurse Practitioner-Led Clinics (NPLCs)

The other author of this paper (RH) has conducted a multiple-case study to determine the quality of care for patients with complex clinical presentations in NPLCs in Ontario, Canada. 10 Five NPLCs served as individual cases that, together, represented the quatrain. Three types of data were collected including:

Review of documentation related to the NPLC model (media, annual reports, research articles, grey literature and regulatory legislation).

Interviews with nurse practitioners (NPs) practising at the five NPLCs to determine their perceptions of the impact of the NPLC model on the quality of care provided to patients with multimorbidity.

Chart audits conducted at the five NPLCs to determine the extent to which evidence-based guidelines were followed for patients with diabetes and at least one other chronic condition.

The three sources of data collected from the five NPLCs were analysed and themes arose related to the quality of care for complex patients at NPLCs. The multiple-case study confirmed that nurse practitioners are the primary care providers at the NPLCs, and this positively impacts the quality of care for patients with multimorbidity. Healthcare policy, such as lack of an increase in salary for NPs for 10 years, has resulted in issues in recruitment and retention of NPs at NPLCs. This, along with insufficient resources in the communities where NPLCs are located and high patient vulnerability at NPLCs, have a negative impact on the quality of care. 10

These examples illustrate how collecting data about a single case or multiple cases helps us to better understand the phenomenon in question. Case study methodology serves to provide a framework for evaluation and analysis of complex issues. It shines a light on the holistic nature of nursing practice and offers a perspective that informs improved patient care.

• Gustafsson J
• Calanzaro M
• Sandelowski M

Competing interests None declared.

Provenance and peer review Commissioned; internally peer reviewed.

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Case Study Research Method | Benefits, Limitations

Case study research is a type of qualitative research that helps understand an individual case or a specific situation in detail.

A case study can be written as a final report or it can be presented as an article in a journal or conference proceedings. Before you begin your next case study, you must know about its scope and limitations.

Table of Contents

What is a Case Study?

Case studies concentrate on gathering data about a particular object, event, or activity, like a certain business unit or organization. The person, group, organization, event, or circumstance that the researcher is interested in is the case in a case study.

Most importantly, a case study helps you understand the reasons for the occurrence or failure of a specific event. Case studies are common in business and management research . They can be qualitative or quantitative in nature. Researchers explore a single case, typically a business-related event or experiment.

Researchers document findings as case studies and present them with the help of visuals such as

Case Study- Example

This might be stated as a case study of a nearby school that encourages active learning.

When to do a case study?

Step by step guide for conducting case study research, define the problem, create a research plan, conduct field research.

Once you have a research plan, start your field research . You can use a variety of methods to conduct field research in a case study. You can use observation, interviews, or document analysis to collect data related to your case study.

Analyze data

Organize data, present case findings.

Once you have organized data and summarized it, it’s time to present your case findings. You can write a case study report or present it in the form of an article in a journal or conference proceedings.

Benefits of Case Study Research

Multiple case studies are frequently more robust and trustworthy than single case studies. Studies with multiple cases enable the formation of theories and a more thorough investigation of research problems .

Limitations of Case Study Research

Bottom line, other articles.

Please read through some of our other articles with examples and explanations if you’d like to learn more about research methodology.

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Alternative hypothesis: types and examples, causal research: examples, benefits, and practical tips, 7 types of observational studies | examples, writing an introduction for a research paper: a guide (with examples), clinical research design: elements and importance, dependent variable in research: examples, what is an independent variable, how to write a high-quality conference paper, what are scholarly sources and where can you find them, how to write a conclusion for research paper | examples.

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Blog Beginner Guides 6 Types of Case Studies to Inspire Your Research and Analysis

6 Types of Case Studies to Inspire Your Research and Analysis

Written by: Ronita Mohan Sep 20, 2021

Case studies have become powerful business tools. But what is a case study? What are the benefits of creating one? Are there limitations to the format?

If you’ve asked yourself these questions, our helpful guide will clear things up. Learn how to use a case study for business. Find out how cases analysis works in psychology and research.

We’ve also got examples of case studies to inspire you.

Haven’t made a case study before? You can easily  create a case study  with Venngage’s customizable case study templates .

Click to jump ahead:

What is a case study?

6 types of case studies, what is a business case study, what is a case study in research, what is a case study in psychology, what is the case study method, benefits of case studies, limitations of case studies, faqs about case studies.

A case study is a research process aimed at learning about a subject, an event or an organization. Case studies are use in business, the social sciences and healthcare.

A case study may focus on one observation or many. It can also examine a series of events or a single case. An effective case study tells a story and provides a conclusion.

Healthcare industries write reports on patients and diagnoses. Marketing case study examples , like the one below, highlight the benefits of a business product.

Now that you know what a case study is, let’s look at the six different types of case studies next.

There are six common types of case reports. Depending on your industry, you might use one of these types.

Descriptive case studies

Explanatory case studies, exploratory case reports, intrinsic case studies, instrumental case studies, collective case reports.

We go into more detail about each type of study in the guide below.

Related:  15+ Professional Case Study Examples [Design Tips + Templates]

When you have an existing hypothesis, you can design a descriptive study. This type of report starts with a description. The aim is to find connections between the subject being studied and a theory.

Once these connections are found, the study can conclude. The results of this type of study will usually suggest how to develop a theory further.

A study like the one below has concrete results. A descriptive report would use the quantitative data as a suggestion for researching the subject deeply.

When an incident occurs in a field, an explanation is required. An explanatory report investigates the cause of the event. It will include explanations for that cause.

The study will also share details about the impact of the event. In most cases, this report will use evidence to predict future occurrences. The results of explanatory reports are definitive.

Note that there is no room for interpretation here. The results are absolute.

The study below is a good example. It explains how one brand used the services of another. It concludes by showing definitive proof that the collaboration was successful.

Another example of this study would be in the automotive industry. If a vehicle fails a test, an explanatory study will examine why. The results could show that the failure was because of a particular part.

Related: How to Write a Case Study [+ Design Tips]

An explanatory report is a self-contained document. An exploratory one is only the beginning of an investigation.

Exploratory cases act as the starting point of studies. This is usually conducted as a precursor to large-scale investigations. The research is used to suggest why further investigations are needed.

An exploratory study can also be used to suggest methods for further examination.

For example, the below analysis could have found inconclusive results. In that situation, it would be the basis for an in-depth study.

Intrinsic studies are more common in the field of psychology. These reports can also be conducted in healthcare or social work.

These types of studies focus on a unique subject, such as a patient. They can sometimes study groups close to the researcher.

The aim of such studies is to understand the subject better. This requires learning their history. The researcher will also examine how they interact with their environment.

For instance, if the case study below was about a unique brand, it could be an intrinsic study.

Once the study is complete, the researcher will have developed a better understanding of a phenomenon. This phenomenon will likely not have been studied or theorized about before.

Examples of intrinsic case analysis can be found across psychology. For example, Jean Piaget’s theories on cognitive development. He established the theory from intrinsic studies into his own children.

Related: What Disney Villains Can Tell Us About Color Psychology [Infographic]

This is another type of study seen in medical and psychology fields. Instrumental reports are created to examine more than just the primary subject.

When research is conducted for an instrumental study, it is to provide the basis for a larger phenomenon. The subject matter is usually the best example of the phenomenon. This is why it is being studied.

Take the example of the fictional brand below.

Assume it’s examining lead generation strategies. It may want to show that visual marketing is the definitive lead generation tool. The brand can conduct an instrumental case study to examine this phenomenon.

Collective studies are based on instrumental case reports. These types of studies examine multiple reports.

There are a number of reasons why collective reports are created:

• To provide evidence for starting a new study
• To find pattens between multiple instrumental reports
• To find differences in similar types of cases
• Gain a deeper understanding of a complex phenomenon
• Understand a phenomenon from diverse contexts

A researcher could use multiple reports, like the one below, to build a collective case report.

Related: 10+ Case Study Infographic Templates That Convert

A business or marketing case study aims at showcasing a successful partnership. This can be between a brand and a client. Or the case study can examine a brand’s project.

There is a perception that case studies are used to advertise a brand. But effective reports, like the one below, can show clients how a brand can support them.

Hubspot created a case study on a customer that successfully scaled its business. The report outlines the various Hubspot tools used to achieve these results.

Hubspot also added a video with testimonials from the client company’s employees.

So, what is the purpose of a case study for businesses? There is a lot of competition in the corporate world. Companies are run by people. They can be on the fence about which brand to work with.

Business reports  stand out aesthetically, as well. They use  brand colors  and brand fonts . Usually, a combination of the client’s and the brand’s.

With the Venngage  My Brand Kit  feature, businesses can automatically apply their brand to designs.

A business case study, like the one below, acts as social proof. This helps customers decide between your brand and your competitors.

Don’t know how to design a report? You can learn  how to write a case study  with Venngage’s guide. We also share design tips and examples that will help you convert.

Related: 55+ Annual Report Design Templates, Inspirational Examples & Tips [Updated]

Research is a necessary part of every case study. But specific research fields are required to create studies. These fields include user research, healthcare, education, or social work.

For example, this UX Design  report examined the public perception of a client. The brand researched and implemented new visuals to improve it. The study breaks down this research through lessons learned.

Clinical reports are a necessity in the medical field. These documents are used to share knowledge with other professionals. They also help examine new or unusual diseases or symptoms.

The pandemic has led to a significant increase in research. For example,  Spectrum Health  studied the value of health systems in the pandemic. They created the study by examining community outreach.

The pandemic has significantly impacted the field of education. This has led to numerous examinations on remote studying. There have also been studies on how students react to decreased peer communication.

Social work case reports often have a community focus. They can also examine public health responses. In certain regions, social workers study disaster responses.

You now know what case studies in various fields are. In the next step of our guide, we explain the case study method.

In the field of psychology, case studies focus on a particular subject. Psychology case histories also examine human behaviors.

Case reports search for commonalities between humans. They are also used to prescribe further research. Or these studies can elaborate on a solution for a behavioral ailment.

The American Psychology Association  has a number of case studies on real-life clients. Note how the reports are more text-heavy than a business case study.

Famous psychologists such as Sigmund Freud and Anna O popularised the use of case studies in the field. They did so by regularly interviewing subjects. Their detailed observations build the field of psychology.

It is important to note that psychological studies must be conducted by professionals. Psychologists, psychiatrists and therapists should be the researchers in these cases.

Related: What Netflix’s Top 50 Shows Can Teach Us About Font Psychology [Infographic]

The case study method, or case method, is a learning technique where you’re presented with a real-world business challenge and asked how you’d solve it.

After working through it independently and with peers, you learn how the actual scenario unfolded. This approach helps develop problem-solving skills and practical knowledge.

This method often uses various data sources like interviews, observations, and documents to provide comprehensive insights. The below example would have been created after numerous interviews.

Case studies are largely qualitative. They analyze and describe phenomena. While some data is included, a case analysis is not quantitative.

There are a few steps in the case method. You have to start by identifying the subject of your study. Then determine what kind of research is required.

In natural sciences, case studies can take years to complete. Business reports, like this one, don’t take that long. A few weeks of interviews should be enough.

The case method will vary depending on the industry. Reports will also look different once produced.

As you will have seen, business reports are more colorful. The design is also more accessible . Healthcare and psychology reports are more text-heavy.

Designing case reports takes time and energy. So, is it worth taking the time to write them? Here are the benefits of creating case studies.

• Collects large amounts of information
• Helps formulate hypotheses
• Builds the case for further research
• Discovers new insights into a subject
• Builds brand trust and loyalty
• Engages customers through stories

For example, the business study below creates a story around a brand partnership. It makes for engaging reading. The study also shows evidence backing up the information.

We’ve shared the benefits of why studies are needed. We will also look at the limitations of creating them.

Related: How to Present a Case Study like a Pro (With Examples)

There are a few disadvantages to conducting a case analysis. The limitations will vary according to the industry.

• Responses from interviews are subjective
• Subjects may tailor responses to the researcher
• Studies can’t always be replicated
• In certain industries, analyses can take time and be expensive
• Risk of generalizing the results among a larger population

These are some of the common weaknesses of creating case reports. If you’re on the fence, look at the competition in your industry.

Other brands or professionals are building reports, like this example. In that case, you may want to do the same.

What makes a case study a case study?

A case study has a very particular research methodology. They are an in-depth study of a person or a group of individuals. They can also study a community or an organization. Case reports examine real-world phenomena within a set context.

How long should a case study be?

The length of studies depends on the industry. It also depends on the story you’re telling. Most case studies should be at least 500-1500 words long. But you can increase the length if you have more details to share.

What should you ask in a case study?

The one thing you shouldn’t ask is ‘yes’ or ‘no’ questions. Case studies are qualitative. These questions won’t give you the information you need.

Ask your client about the problems they faced. Ask them about solutions they found. Or what they think is the ideal solution. Leave room to ask them follow-up questions. This will help build out the study.

How to present a case study?

When you’re ready to present a case study, begin by providing a summary of the problem or challenge you were addressing. Follow this with an outline of the solution you implemented, and support this with the results you achieved, backed by relevant data. Incorporate visual aids like slides, graphs, and images to make your case study presentation more engaging and impactful.

Now you know what a case study means, you can begin creating one. These reports are a great tool for analyzing brands. They are also useful in a variety of other fields.

Use a visual communication platform like Venngage to design case studies. With Venngage’s templates, you can design easily. Create branded, engaging reports, all without design experience.

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Five Benefits of the Case-Based Study Method

M.S. in Commerce Student Ryann Sheehy discusses the benefits of the case-based study method.

Ryann Sheehy

M.S. in Commerce 2022

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When I first began the process of applying to graduate school, one of my biggest questions was how the work I did during my undergraduate years would compare to what would be expected of me in a graduate program. Many of my fears surrounded how difficult the homework and projects would be or how much time I’d have to spend in the library. Instead, what I found was that it wasn’t the subjective difficulty of a course or the number of hours I put into an assignment that was so different, but the overall shift in thinking we were being asked to make.

In the first few weeks of the M.S. in Commerce Program , my classmates and I were tasked with learning the language and tools of business quickly. And, in no better way was this achieved than through the case-based approach taken by our professors.

What is the case-based study method?

The case-based study method is a learning tool that allows students to read about a company and discuss their approaches to solving a presented problem faced by the firm. While this method is widely used in MBA programs, McIntire employs it across all of its programs at both the undergraduate and graduate level to challenge its students to apply practical business skills and course concepts.

How is it utilized in the classroom?

During the fall semester in the M.S. in Commerce Program, every class you take in the core curriculum will involve discussions of cases. Although the Strategy course taught by Professor Ira Harris will tackle the largest number of cases, every class from Accounting to Marketing will ask you to think critically about a real-life case whether in your small groups or as part of a larger class discussion.

So, why is the case-based approach used at McIntire, and what can it do for you? Here are five tangible benefits I’ve seen from this method that I believe give M.S. in Commerce students an advantage in the marketplace.

1. Discuss real-world scenarios

One of the most important learning objectives of the case-based study method—and, perhaps, the most obvious—is the practice with real-world scenarios. Professor Andrea Roberts, who teaches Cost Accounting in the fall semester, equates studying cases as the next best thing to actually placing students inside a real company. Many of the cases we are assigned are based on companies you may have heard of or have a personal experience with such as Trader Joe’s, Delta Air Lines, Peloton, and Wawa.

The emphasis on the real is even more clear in our Accounting classes, as we’re tasked with sifting through and interpreting actual financial statements taken directly from company reports. Roberts says one of the main objectives of these cases is to allow students to practice gathering information and figuring out what is relevant or even correctly stated. During our Cost Accounting class this semester, the case project we completed on the Alltel Pavilion was based on a real outdoor arena and included checking the financial reports for errors before calculating the answers. Although we are assigned some textbook problems to nail down the basic concepts, Roberts says it’s important to have experience with problems as they appear in practice—not nicely formatted or easily interpreted.

2. Learn from your peers

The deep level of diversity present across the program provides many opportunities for students to learn as much from their peers as they do from the professors. Phil Choi, a Business Analytics concentrator, said, “I actually do think that the M.S. in Commerce is really diverse. It’s not just a marketing thing; it actually is. The case approach takes advantage of that because you get to hear other people—their diverse experiences, whether that’s internships, whether that’s undergrad majors, or cultural diversity.” During in-class case discussions, students are encouraged to speak about their unique perspectives, since there are often many ways to look at the problem at hand. Choi said the case approach helps students who may be more reserved become comfortable with speaking their mind, as well as helps outspoken classmates learn to value other points of view.

3. Become comfortable with ambiguity

While many students may be used to finding the one best answer to a problem, in many of the cases we discuss, there truly is no perfect or “right” solution. Roberts describes this process as becoming “comfortable with the uncomfortableness.” While this change may be shocking to some students, it’s one of the most helpful lessons to learn before entering the workforce because your employer will not have an answer key to evaluate you with, nor will you be given all the necessary information in a neatly organized problem. The uncertainty pushes you to become more creative and look at all the options before deciding. As Harris teaches in Strategy, you cannot always make the right choice, but you can make an informed one.

4. Practice applying course concepts

Besides giving students real-world practice, one of the main objectives of studying cases is to practice applying the analytical tools and course concepts from class. For example, the case Harris calls a kind of “mid-range capstone” was the Delta Air Lines case we discussed after learning about benchmarking. Not only did the case cause us to discuss what makes successful versus failed benchmarking strategies, it also pulled together many of the concepts we had learned earlier in the semester. The connection between each case and a specific concept is also made clear, because we often discuss a new concept for the first part of class and then apply it to the case in the second half. This study method ultimately serves as a great way for students to test their overall understanding and ability to use the concepts taught in class when faced with a real issue.

5. Improve critical thinking and decision making

Last, but not least, cases are one of the main ways the M.S. in Commerce Program improves your ability to think critically and make informed decisions. In Roberts’ opinion, “Everything that you learn in M.S. in Commerce is providing information and tools so that you can make a decision.” Harris echoed that sentiment when he said, “When we talk about analytical thinking, when we talk about problem solving, it almost always is the use of a few different tools in order to gain some sort of a better understanding and to solve something that a company is facing.” At the end of the program, these cases will have served to improve your gut instincts and your ability to think quickly in future decision-making situations—a skill that you will need in everything from job interviews to your future day-to-day work.

What can prospective students do to prepare for this method of learning?

Harris recommends that prospective students begin familiarizing themselves with real-world business cases as soon as possible in order to gain a surface-level understanding of some of the key concepts and vocabulary that will come up in your McIntire courses. This is as easy as subscribing to and reading some of the world’s most popular business press such as The Wall Street Journal or Financial Times. Some of your current institutions may even give you free access to these sources.

If you’re interested in learning more about the case-based study method feel free to reach out to any of the current student ambassadors .

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Home » Pros and Cons » 12 Case Study Method Advantages and Disadvantages

12 Case Study Method Advantages and Disadvantages

A case study is an investigation into an individual circumstance. The investigation may be of a single person, business, event, or group. The investigation involves collecting in-depth data about the individual entity through the use of several collection methods. Interviews and observation are two of the most common forms of data collection used.

The case study method was originally developed in the field of clinical medicine. It has expanded since to other industries to examine key results, either positive or negative, that were received through a specific set of decisions. This allows for the topic to be researched with great detail, allowing others to glean knowledge from the information presented.

Here are the advantages and disadvantages of using the case study method.

List of the Advantages of the Case Study Method

1. it turns client observations into useable data..

Case studies offer verifiable data from direct observations of the individual entity involved. These observations provide information about input processes. It can show the path taken which led to specific results being generated. Those observations make it possible for others, in similar circumstances, to potentially replicate the results discovered by the case study method.

2. It turns opinion into fact.

Case studies provide facts to study because you’re looking at data which was generated in real-time. It is a way for researchers to turn their opinions into information that can be verified as fact because there is a proven path of positive or negative development. Singling out a specific incident also provides in-depth details about the path of development, which gives it extra credibility to the outside observer.

3. It is relevant to all parties involved.

Case studies that are chosen well will be relevant to everyone who is participating in the process. Because there is such a high level of relevance involved, researchers are able to stay actively engaged in the data collection process. Participants are able to further their knowledge growth because there is interest in the outcome of the case study. Most importantly, the case study method essentially forces people to make a decision about the question being studied, then defend their position through the use of facts.

4. It uses a number of different research methodologies.

The case study method involves more than just interviews and direct observation. Case histories from a records database can be used with this method. Questionnaires can be distributed to participants in the entity being studies. Individuals who have kept diaries and journals about the entity being studied can be included. Even certain experimental tasks, such as a memory test, can be part of this research process.

5. It can be done remotely.

Researchers do not need to be present at a specific location or facility to utilize the case study method. Research can be obtained over the phone, through email, and other forms of remote communication. Even interviews can be conducted over the phone. That means this method is good for formative research that is exploratory in nature, even if it must be completed from a remote location.

6. It is inexpensive.

Compared to other methods of research, the case study method is rather inexpensive. The costs associated with this method involve accessing data, which can often be done for free. Even when there are in-person interviews or other on-site duties involved, the costs of reviewing the data are minimal.

7. It is very accessible to readers.

The case study method puts data into a usable format for those who read the data and note its outcome. Although there may be perspectives of the researcher included in the outcome, the goal of this method is to help the reader be able to identify specific concepts to which they also relate. That allows them to discover unusual features within the data, examine outliers that may be present, or draw conclusions from their own experiences.

List of the Disadvantages of the Case Study Method

1. it can have influence factors within the data..

Every person has their own unconscious bias. Although the case study method is designed to limit the influence of this bias by collecting fact-based data, it is the collector of the data who gets to define what is a “fact” and what is not. That means the real-time data being collected may be based on the results the researcher wants to see from the entity instead. By controlling how facts are collected, a research can control the results this method generates.

2. It takes longer to analyze the data.

The information collection process through the case study method takes much longer to collect than other research options. That is because there is an enormous amount of data which must be sifted through. It’s not just the researchers who can influence the outcome in this type of research method. Participants can also influence outcomes by given inaccurate or incomplete answers to questions they are asked. Researchers must verify the information presented to ensure its accuracy, and that takes time to complete.

3. It can be an inefficient process.

Case study methods require the participation of the individuals or entities involved for it to be a successful process. That means the skills of the researcher will help to determine the quality of information that is being received. Some participants may be quiet, unwilling to answer even basic questions about what is being studied. Others may be overly talkative, exploring tangents which have nothing to do with the case study at all. If researchers are unsure of how to manage this process, then incomplete data is often collected.

4. It requires a small sample size to be effective.

The case study method requires a small sample size for it to yield an effective amount of data to be analyzed. If there are different demographics involved with the entity, or there are different needs which must be examined, then the case study method becomes very inefficient.

5. It is a labor-intensive method of data collection.

The case study method requires researchers to have a high level of language skills to be successful with data collection. Researchers must be personally involved in every aspect of collecting the data as well. From reviewing files or entries personally to conducting personal interviews, the concepts and themes of this process are heavily reliant on the amount of work each researcher is willing to put into things.

These case study method advantages and disadvantages offer a look at the effectiveness of this research option. With the right skill set, it can be used as an effective tool to gather rich, detailed information about specific entities. Without the right skill set, the case study method becomes inefficient and inaccurate.

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7 Benefits of qualitative market research (and how to overcome the challenges)

1. create data-driven marketing and brand campaigns, 2. support and streamline product development, 3. qualitative research is flexible and easy to adapt, 4. stay on top of trends, 5. understand nuanced customer experiences, 6. increased depth of consumer knowledge, 7. reduced customer churn, the challenges of qualitative market research, power your product development with qualitative market research.

Get new ideas.

Challenge outdated assumptions.

Create narratives that hit home.

Design products that users can’t live without.

These are all reasons to do qualitative research…

The benefits of a qualitative study of your target market are endless, but we’ve gathered the 7 best ones.

Because qualitative research can — and should — be used for so many scenarios. From discovering unexpected insights to validating what you think you know about your customers. It’s essential for everything from refining your product and services based on direct feedback to ensuring your marketing messages hit the mark.

Whether you’re exploring new markets, enhancing customer experience, or simply aiming to connect more deeply with your audience, qualitative research opens up a world of possibilities for informed decision-making and strategic innovation. Let’s look at the advantages that you get from doing qualitative research the right way.

Some brands just seem to get their audience, and that’s not just because they’ve hired a team of ”people-persons”. In fact, it’s probably a lot more data-driven than you might think from just looking at their campaigns. What you see there is qualitative research at work, leading brands to decisions that are grounded in their customers’ real feelings and needs.

By integrating these insights, they find the right words, the most relatable stories, and the most engaging content, all based on what their audience truly cares about.

Moreover, every decision, from the tone of voice in an email to the theme of a major campaign, is backed by solid data from their qualitative analysis.

Using qualitative data like this aligns the brand’s actions with consumer expectations, creating experiences that feel tailor-made. That’s when brands become fluent in their audience’s language, and a real conversation can be had.

Great product development isn’t developers saying ”hey, look at what we can do!”‘ but about them saying to users: ”hey, look at what YOU can finally do!”. It’s about empowering consumers and that starts with having a deep understanding of how they interact with your product.

And qualitative data helps them do exactly that.

When analytics show where users get stuck, the data collection from qualitative research shows why —and how to help them move forward. Using that combination of quantitative and qualitative research will enable you to create user-friendly and market-ready products far quicker and more efficiently than with guesswork.

There are so many ways to uncover the ‘why’ behind the what, the qualitative data behind the numbers. That’s one of the many beauties of qualitative research methods: you can adapt it to specific situations.

If you want to zoom in, get some customers to sit down one-on-one with you. If you want to uncover sentiments or trends in a larger group, you can send out video surveys. And if you want dynamic, creative discussions, you use focus groups.

You can combine methods to collect data of different formats and test whether your findings from one match with the other. This versatility in gathering data is great for really getting to know the nuances that live within your target audience.

Get reliable qual insights from Attest

Get inspo from target customers and enrich your quant research with Video Responses from Attest, delivered fast!

If you want to know what’s going to be trending soon, all you need to do is listen. With the right qualitative market research methods you can catch sentiments that turn into trends before your competitors do.

Luckily, qualitative research, with its smaller sample sizes, means you can gather and analyze consumer opinions pretty quickly. This speed combined with the reassurance from quantitative research lets you identify emerging trends before they’re already cringe.

But it’s not just about being fast — it’s about being right. That’s exactly what qualitative research lets you be.

Sure, numerical data can also quickly show you trends — peaks or drops in any graph highlight that something is going on. But without knowing exactly what, taking action is a big risk that you shouldn’t be taking.

On paper, customers might seem very similar, all fitting the description of your ”ideal target customer”. But one might give you 10/10, while another might leave quietly after a free trial.

People are nuanced, and anything can influence their experience with your product or service. Qualitative research allows you to discover those nuances.

With qualitative research, you find out that people say that newsletters past 6PM are ”annoying”, or that they’re not reading anything attentively past that time.

And that’s just scratching the surface of just how deep qualitative research methods can go.

Knowing what your target customers are thinking and feeling will increase your empathy for them and allow you to make more tailored decisions that truly suit their needs.

Quantitative research methods don’t allow for ”yes, but..”.

You might think you’re getting to know your customers through a quantitative research study, but you’re only getting to know them within the limits of the framework that you yourself built for this research.

With qualitative research, you can step outside of that and give your audience the freedom to tell you new, surprising things about themselves.

It places you right in the middle of their natural environments, whether that’s through ethnographic studies, diary entries, or in-depth interviews. This context enriches your understanding, making the data collected far more meaningful and actionable.

So, let’s sum it up. What happens when you take the time to listen to someone, actively try to cater to their needs and even get to learn the unspoken truths about them through observation or reading between the lines?

Exactly: people will want to stay close to people and brands who make them feel heard and understood.

By deeply understanding their needs, preferences, and the nuances of their experiences with your brand — and acting on this knowledge — you set the stage for increased customer loyalty and reduced churn.

And it’s not ‘just’ some form of emotional attachment, it also simply boils down to something practical: When your products and services are sculpted with the rich insights gained from qualitative research, they align more closely with what your customers actually want and need — so why would they leave?

We couldn’t call ourselves lovers of research and not provide some balance to this list.

Of course conducting qualitative research isn’t just big benefits and amazing insights. Here are some challenges you’ll face through your qualitative market research, and how to overcome them:

• Bias and subjectivity can sneak in . When you’re dealing with open-ended responses, it’s easy to read too much into them based on your own perspectives and assumptions. Mix up your research team to bring different viewpoints to the table and use structured ways to look at the data. Tools that help with data analysis can also keep things more objective.
• Getting the right people to talk to can be tough . Finding participants that perfectly match your target audience is easier said than done, and that doesn’t even include convincing them to participate. Use a tool that takes care of this for you, so you can focus on the questions and answers.
• Qualitative research often involves fewer participants. This might leave you wondering if what you’re hearing reflects the bigger picture. Blend in some quantitative data to round out the picture. Platforms like Attest make it easy to combine both qualitative and quantitative insights.
• So much data, so little time . Sifting through all the feedback can feel overwhelming. Not just because of the amounts, but also because you’re not sure whether you’re processing it right. Luckily, there are qualitative data analysis tools out there that can help you sort, organize, and make sense of all the information.

We’re not saying Attest is the answer to everything, but it is for a lot of issues. Check out our rundown of how different market research tools work to see whether or not we are right for each other.  

How to ace a new client pitch with qual

Qual research helped retail experience agency Barrows understand glasses wearers’ pain points and wow a prospective client. Read on for the full case study.

It’s clear that qualitative market research is the best way to hit the jackpot, particularly for product development and data-driven decision-making.

Getting genuine, unscripted insights can steer your product development in directions you might not have considered before.

And the ultimate market research toolkit will include insights from both qualitative and quantitative research. Blending the two will make sure you have a comprehensive understanding of your target customers.

What is qualitative market research?

Qualitative market research is about understanding your customers’ perspectives through their own words. Qualitative research methods involve collecting non-numerical data like opinions, experiences, and motivations through methods such as videos, interviews and focus groups. This approach helps you grasp the why behind customer behaviors.

Through methods like interviews, focus groups, and observation, you get to hear the stories, understand the emotions, and uncover the motivations that drive consumer behavior. It’s a way to collect valuable, in-depth insights that numerical data (quantitative research) and other research methods can’t provide, helping you grasp not just what your customers are doing but why they’re doing it.

Why is qualitative market research important?

Qualitative marketing research is crucial because it offers insights into your customers’ minds that you can’t get from numbers alone. It’s crucial because it gives you a clearer picture of consumer behavior, beyond what can be measured in surveys or captured in quantitative data.

Understanding the nuances of how people feel about your product, brand, or service allows for more tailored and effective decision-making. Whether you’re refining your marketing messages or developing new products, conducting qualitative market research helps your strategies resonate deeply with your target audience.

What are the benefits of qualitative market research?

Qualitative research shines when it comes to uncovering the rich, complex fabric of consumer opinions and experiences. It’s a powerhouse for generating valuable insights that inform data-driven marketing and brand campaigns.

By engaging directly with consumers, you gain a nuanced understanding of their needs and preferences, which is gold for guiding product development and enhancing user experiences. Additionally, this approach’s flexibility makes it easier to adapt to market changes, stay ahead of trends, and identify unmet needs that can spark innovation.

Moreover, it can significantly reduce customer churn by ensuring your offerings align closely with what your customers truly value.

What challenges do market researchers face with qualitative methods, and how can they be overcome?

One of the biggest challenges is ensuring the reliability and objectivity of the data collected, as personal biases from both researchers and participants can skew results.

Overcoming this requires a careful research design, a clear and structured research process, and, when possible, triangulation of data from multiple sources to validate findings. Another challenge is the time and resources required for data collection and analysis, which can be mitigated by using technology like online focus groups or qualitative analysis software.

These tools not only streamline the research process but also expand the reach of your research, allowing you to conduct studies across diverse demographics and geographical locations more efficiently.

What are some common methods of conducting qualitative market research?

Qualitative market research can take many forms, from one-on-one interviews that offer deep dives into individual consumer experiences to video interviews and focus groups that provide a broad spectrum of opinions and dynamics.

Other methods include ethnographic research, where researchers observe consumers in their natural environments, and content analysis, where the focus is on analyzing communication patterns and content. Each method serves different research objectives, from developing new products to understanding consumer behavior and gathering data that informs every aspect of your marketing efforts.

Customer Research Manager 

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The case study approach

Sarah crowe.

1 Division of Primary Care, The University of Nottingham, Nottingham, UK

Kathrin Cresswell

2 Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK

Ann Robertson

3 School of Health in Social Science, The University of Edinburgh, Edinburgh, UK

Anthony Avery

Aziz sheikh.

The case study approach allows in-depth, multi-faceted explorations of complex issues in their real-life settings. The value of the case study approach is well recognised in the fields of business, law and policy, but somewhat less so in health services research. Based on our experiences of conducting several health-related case studies, we reflect on the different types of case study design, the specific research questions this approach can help answer, the data sources that tend to be used, and the particular advantages and disadvantages of employing this methodological approach. The paper concludes with key pointers to aid those designing and appraising proposals for conducting case study research, and a checklist to help readers assess the quality of case study reports.

Introduction

The case study approach is particularly useful to employ when there is a need to obtain an in-depth appreciation of an issue, event or phenomenon of interest, in its natural real-life context. Our aim in writing this piece is to provide insights into when to consider employing this approach and an overview of key methodological considerations in relation to the design, planning, analysis, interpretation and reporting of case studies.

The illustrative 'grand round', 'case report' and 'case series' have a long tradition in clinical practice and research. Presenting detailed critiques, typically of one or more patients, aims to provide insights into aspects of the clinical case and, in doing so, illustrate broader lessons that may be learnt. In research, the conceptually-related case study approach can be used, for example, to describe in detail a patient's episode of care, explore professional attitudes to and experiences of a new policy initiative or service development or more generally to 'investigate contemporary phenomena within its real-life context' [ 1 ]. Based on our experiences of conducting a range of case studies, we reflect on when to consider using this approach, discuss the key steps involved and illustrate, with examples, some of the practical challenges of attaining an in-depth understanding of a 'case' as an integrated whole. In keeping with previously published work, we acknowledge the importance of theory to underpin the design, selection, conduct and interpretation of case studies[ 2 ]. In so doing, we make passing reference to the different epistemological approaches used in case study research by key theoreticians and methodologists in this field of enquiry.

This paper is structured around the following main questions: What is a case study? What are case studies used for? How are case studies conducted? What are the potential pitfalls and how can these be avoided? We draw in particular on four of our own recently published examples of case studies (see Tables ​ Tables1, 1 , ​ ,2, 2 , ​ ,3 3 and ​ and4) 4 ) and those of others to illustrate our discussion[ 3 - 7 ].

Example of a case study investigating the reasons for differences in recruitment rates of minority ethnic people in asthma research[ 3 ]

Example of a case study investigating the process of planning and implementing a service in Primary Care Organisations[ 4 ]

Example of a case study investigating the introduction of the electronic health records[ 5 ]

Example of a case study investigating the formal and informal ways students learn about patient safety[ 6 ]

What is a case study?

A case study is a research approach that is used to generate an in-depth, multi-faceted understanding of a complex issue in its real-life context. It is an established research design that is used extensively in a wide variety of disciplines, particularly in the social sciences. A case study can be defined in a variety of ways (Table ​ (Table5), 5 ), the central tenet being the need to explore an event or phenomenon in depth and in its natural context. It is for this reason sometimes referred to as a "naturalistic" design; this is in contrast to an "experimental" design (such as a randomised controlled trial) in which the investigator seeks to exert control over and manipulate the variable(s) of interest.

Definitions of a case study

Stake's work has been particularly influential in defining the case study approach to scientific enquiry. He has helpfully characterised three main types of case study: intrinsic , instrumental and collective [ 8 ]. An intrinsic case study is typically undertaken to learn about a unique phenomenon. The researcher should define the uniqueness of the phenomenon, which distinguishes it from all others. In contrast, the instrumental case study uses a particular case (some of which may be better than others) to gain a broader appreciation of an issue or phenomenon. The collective case study involves studying multiple cases simultaneously or sequentially in an attempt to generate a still broader appreciation of a particular issue.

These are however not necessarily mutually exclusive categories. In the first of our examples (Table ​ (Table1), 1 ), we undertook an intrinsic case study to investigate the issue of recruitment of minority ethnic people into the specific context of asthma research studies, but it developed into a instrumental case study through seeking to understand the issue of recruitment of these marginalised populations more generally, generating a number of the findings that are potentially transferable to other disease contexts[ 3 ]. In contrast, the other three examples (see Tables ​ Tables2, 2 , ​ ,3 3 and ​ and4) 4 ) employed collective case study designs to study the introduction of workforce reconfiguration in primary care, the implementation of electronic health records into hospitals, and to understand the ways in which healthcare students learn about patient safety considerations[ 4 - 6 ]. Although our study focusing on the introduction of General Practitioners with Specialist Interests (Table ​ (Table2) 2 ) was explicitly collective in design (four contrasting primary care organisations were studied), is was also instrumental in that this particular professional group was studied as an exemplar of the more general phenomenon of workforce redesign[ 4 ].

What are case studies used for?

According to Yin, case studies can be used to explain, describe or explore events or phenomena in the everyday contexts in which they occur[ 1 ]. These can, for example, help to understand and explain causal links and pathways resulting from a new policy initiative or service development (see Tables ​ Tables2 2 and ​ and3, 3 , for example)[ 1 ]. In contrast to experimental designs, which seek to test a specific hypothesis through deliberately manipulating the environment (like, for example, in a randomised controlled trial giving a new drug to randomly selected individuals and then comparing outcomes with controls),[ 9 ] the case study approach lends itself well to capturing information on more explanatory ' how ', 'what' and ' why ' questions, such as ' how is the intervention being implemented and received on the ground?'. The case study approach can offer additional insights into what gaps exist in its delivery or why one implementation strategy might be chosen over another. This in turn can help develop or refine theory, as shown in our study of the teaching of patient safety in undergraduate curricula (Table ​ (Table4 4 )[ 6 , 10 ]. Key questions to consider when selecting the most appropriate study design are whether it is desirable or indeed possible to undertake a formal experimental investigation in which individuals and/or organisations are allocated to an intervention or control arm? Or whether the wish is to obtain a more naturalistic understanding of an issue? The former is ideally studied using a controlled experimental design, whereas the latter is more appropriately studied using a case study design.

Case studies may be approached in different ways depending on the epistemological standpoint of the researcher, that is, whether they take a critical (questioning one's own and others' assumptions), interpretivist (trying to understand individual and shared social meanings) or positivist approach (orientating towards the criteria of natural sciences, such as focusing on generalisability considerations) (Table ​ (Table6). 6 ). Whilst such a schema can be conceptually helpful, it may be appropriate to draw on more than one approach in any case study, particularly in the context of conducting health services research. Doolin has, for example, noted that in the context of undertaking interpretative case studies, researchers can usefully draw on a critical, reflective perspective which seeks to take into account the wider social and political environment that has shaped the case[ 11 ].

Example of epistemological approaches that may be used in case study research

How are case studies conducted?

Here, we focus on the main stages of research activity when planning and undertaking a case study; the crucial stages are: defining the case; selecting the case(s); collecting and analysing the data; interpreting data; and reporting the findings.

Defining the case

Carefully formulated research question(s), informed by the existing literature and a prior appreciation of the theoretical issues and setting(s), are all important in appropriately and succinctly defining the case[ 8 , 12 ]. Crucially, each case should have a pre-defined boundary which clarifies the nature and time period covered by the case study (i.e. its scope, beginning and end), the relevant social group, organisation or geographical area of interest to the investigator, the types of evidence to be collected, and the priorities for data collection and analysis (see Table ​ Table7 7 )[ 1 ]. A theory driven approach to defining the case may help generate knowledge that is potentially transferable to a range of clinical contexts and behaviours; using theory is also likely to result in a more informed appreciation of, for example, how and why interventions have succeeded or failed[ 13 ].

Example of a checklist for rating a case study proposal[ 8 ]

For example, in our evaluation of the introduction of electronic health records in English hospitals (Table ​ (Table3), 3 ), we defined our cases as the NHS Trusts that were receiving the new technology[ 5 ]. Our focus was on how the technology was being implemented. However, if the primary research interest had been on the social and organisational dimensions of implementation, we might have defined our case differently as a grouping of healthcare professionals (e.g. doctors and/or nurses). The precise beginning and end of the case may however prove difficult to define. Pursuing this same example, when does the process of implementation and adoption of an electronic health record system really begin or end? Such judgements will inevitably be influenced by a range of factors, including the research question, theory of interest, the scope and richness of the gathered data and the resources available to the research team.

Selecting the case(s)

The decision on how to select the case(s) to study is a very important one that merits some reflection. In an intrinsic case study, the case is selected on its own merits[ 8 ]. The case is selected not because it is representative of other cases, but because of its uniqueness, which is of genuine interest to the researchers. This was, for example, the case in our study of the recruitment of minority ethnic participants into asthma research (Table ​ (Table1) 1 ) as our earlier work had demonstrated the marginalisation of minority ethnic people with asthma, despite evidence of disproportionate asthma morbidity[ 14 , 15 ]. In another example of an intrinsic case study, Hellstrom et al.[ 16 ] studied an elderly married couple living with dementia to explore how dementia had impacted on their understanding of home, their everyday life and their relationships.

For an instrumental case study, selecting a "typical" case can work well[ 8 ]. In contrast to the intrinsic case study, the particular case which is chosen is of less importance than selecting a case that allows the researcher to investigate an issue or phenomenon. For example, in order to gain an understanding of doctors' responses to health policy initiatives, Som undertook an instrumental case study interviewing clinicians who had a range of responsibilities for clinical governance in one NHS acute hospital trust[ 17 ]. Sampling a "deviant" or "atypical" case may however prove even more informative, potentially enabling the researcher to identify causal processes, generate hypotheses and develop theory.

In collective or multiple case studies, a number of cases are carefully selected. This offers the advantage of allowing comparisons to be made across several cases and/or replication. Choosing a "typical" case may enable the findings to be generalised to theory (i.e. analytical generalisation) or to test theory by replicating the findings in a second or even a third case (i.e. replication logic)[ 1 ]. Yin suggests two or three literal replications (i.e. predicting similar results) if the theory is straightforward and five or more if the theory is more subtle. However, critics might argue that selecting 'cases' in this way is insufficiently reflexive and ill-suited to the complexities of contemporary healthcare organisations.

The selected case study site(s) should allow the research team access to the group of individuals, the organisation, the processes or whatever else constitutes the chosen unit of analysis for the study. Access is therefore a central consideration; the researcher needs to come to know the case study site(s) well and to work cooperatively with them. Selected cases need to be not only interesting but also hospitable to the inquiry [ 8 ] if they are to be informative and answer the research question(s). Case study sites may also be pre-selected for the researcher, with decisions being influenced by key stakeholders. For example, our selection of case study sites in the evaluation of the implementation and adoption of electronic health record systems (see Table ​ Table3) 3 ) was heavily influenced by NHS Connecting for Health, the government agency that was responsible for overseeing the National Programme for Information Technology (NPfIT)[ 5 ]. This prominent stakeholder had already selected the NHS sites (through a competitive bidding process) to be early adopters of the electronic health record systems and had negotiated contracts that detailed the deployment timelines.

It is also important to consider in advance the likely burden and risks associated with participation for those who (or the site(s) which) comprise the case study. Of particular importance is the obligation for the researcher to think through the ethical implications of the study (e.g. the risk of inadvertently breaching anonymity or confidentiality) and to ensure that potential participants/participating sites are provided with sufficient information to make an informed choice about joining the study. The outcome of providing this information might be that the emotive burden associated with participation, or the organisational disruption associated with supporting the fieldwork, is considered so high that the individuals or sites decide against participation.

In our example of evaluating implementations of electronic health record systems, given the restricted number of early adopter sites available to us, we sought purposively to select a diverse range of implementation cases among those that were available[ 5 ]. We chose a mixture of teaching, non-teaching and Foundation Trust hospitals, and examples of each of the three electronic health record systems procured centrally by the NPfIT. At one recruited site, it quickly became apparent that access was problematic because of competing demands on that organisation. Recognising the importance of full access and co-operative working for generating rich data, the research team decided not to pursue work at that site and instead to focus on other recruited sites.

Collecting the data

In order to develop a thorough understanding of the case, the case study approach usually involves the collection of multiple sources of evidence, using a range of quantitative (e.g. questionnaires, audits and analysis of routinely collected healthcare data) and more commonly qualitative techniques (e.g. interviews, focus groups and observations). The use of multiple sources of data (data triangulation) has been advocated as a way of increasing the internal validity of a study (i.e. the extent to which the method is appropriate to answer the research question)[ 8 , 18 - 21 ]. An underlying assumption is that data collected in different ways should lead to similar conclusions, and approaching the same issue from different angles can help develop a holistic picture of the phenomenon (Table ​ (Table2 2 )[ 4 ].

Brazier and colleagues used a mixed-methods case study approach to investigate the impact of a cancer care programme[ 22 ]. Here, quantitative measures were collected with questionnaires before, and five months after, the start of the intervention which did not yield any statistically significant results. Qualitative interviews with patients however helped provide an insight into potentially beneficial process-related aspects of the programme, such as greater, perceived patient involvement in care. The authors reported how this case study approach provided a number of contextual factors likely to influence the effectiveness of the intervention and which were not likely to have been obtained from quantitative methods alone.

In collective or multiple case studies, data collection needs to be flexible enough to allow a detailed description of each individual case to be developed (e.g. the nature of different cancer care programmes), before considering the emerging similarities and differences in cross-case comparisons (e.g. to explore why one programme is more effective than another). It is important that data sources from different cases are, where possible, broadly comparable for this purpose even though they may vary in nature and depth.

Analysing, interpreting and reporting case studies

Making sense and offering a coherent interpretation of the typically disparate sources of data (whether qualitative alone or together with quantitative) is far from straightforward. Repeated reviewing and sorting of the voluminous and detail-rich data are integral to the process of analysis. In collective case studies, it is helpful to analyse data relating to the individual component cases first, before making comparisons across cases. Attention needs to be paid to variations within each case and, where relevant, the relationship between different causes, effects and outcomes[ 23 ]. Data will need to be organised and coded to allow the key issues, both derived from the literature and emerging from the dataset, to be easily retrieved at a later stage. An initial coding frame can help capture these issues and can be applied systematically to the whole dataset with the aid of a qualitative data analysis software package.

The Framework approach is a practical approach, comprising of five stages (familiarisation; identifying a thematic framework; indexing; charting; mapping and interpretation) , to managing and analysing large datasets particularly if time is limited, as was the case in our study of recruitment of South Asians into asthma research (Table ​ (Table1 1 )[ 3 , 24 ]. Theoretical frameworks may also play an important role in integrating different sources of data and examining emerging themes. For example, we drew on a socio-technical framework to help explain the connections between different elements - technology; people; and the organisational settings within which they worked - in our study of the introduction of electronic health record systems (Table ​ (Table3 3 )[ 5 ]. Our study of patient safety in undergraduate curricula drew on an evaluation-based approach to design and analysis, which emphasised the importance of the academic, organisational and practice contexts through which students learn (Table ​ (Table4 4 )[ 6 ].

Case study findings can have implications both for theory development and theory testing. They may establish, strengthen or weaken historical explanations of a case and, in certain circumstances, allow theoretical (as opposed to statistical) generalisation beyond the particular cases studied[ 12 ]. These theoretical lenses should not, however, constitute a strait-jacket and the cases should not be "forced to fit" the particular theoretical framework that is being employed.

When reporting findings, it is important to provide the reader with enough contextual information to understand the processes that were followed and how the conclusions were reached. In a collective case study, researchers may choose to present the findings from individual cases separately before amalgamating across cases. Care must be taken to ensure the anonymity of both case sites and individual participants (if agreed in advance) by allocating appropriate codes or withholding descriptors. In the example given in Table ​ Table3, 3 , we decided against providing detailed information on the NHS sites and individual participants in order to avoid the risk of inadvertent disclosure of identities[ 5 , 25 ].

What are the potential pitfalls and how can these be avoided?

The case study approach is, as with all research, not without its limitations. When investigating the formal and informal ways undergraduate students learn about patient safety (Table ​ (Table4), 4 ), for example, we rapidly accumulated a large quantity of data. The volume of data, together with the time restrictions in place, impacted on the depth of analysis that was possible within the available resources. This highlights a more general point of the importance of avoiding the temptation to collect as much data as possible; adequate time also needs to be set aside for data analysis and interpretation of what are often highly complex datasets.

Case study research has sometimes been criticised for lacking scientific rigour and providing little basis for generalisation (i.e. producing findings that may be transferable to other settings)[ 1 ]. There are several ways to address these concerns, including: the use of theoretical sampling (i.e. drawing on a particular conceptual framework); respondent validation (i.e. participants checking emerging findings and the researcher's interpretation, and providing an opinion as to whether they feel these are accurate); and transparency throughout the research process (see Table ​ Table8 8 )[ 8 , 18 - 21 , 23 , 26 ]. Transparency can be achieved by describing in detail the steps involved in case selection, data collection, the reasons for the particular methods chosen, and the researcher's background and level of involvement (i.e. being explicit about how the researcher has influenced data collection and interpretation). Seeking potential, alternative explanations, and being explicit about how interpretations and conclusions were reached, help readers to judge the trustworthiness of the case study report. Stake provides a critique checklist for a case study report (Table ​ (Table9 9 )[ 8 ].

Potential pitfalls and mitigating actions when undertaking case study research

Stake's checklist for assessing the quality of a case study report[ 8 ]

Conclusions

The case study approach allows, amongst other things, critical events, interventions, policy developments and programme-based service reforms to be studied in detail in a real-life context. It should therefore be considered when an experimental design is either inappropriate to answer the research questions posed or impossible to undertake. Considering the frequency with which implementations of innovations are now taking place in healthcare settings and how well the case study approach lends itself to in-depth, complex health service research, we believe this approach should be more widely considered by researchers. Though inherently challenging, the research case study can, if carefully conceptualised and thoughtfully undertaken and reported, yield powerful insights into many important aspects of health and healthcare delivery.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AS conceived this article. SC, KC and AR wrote this paper with GH, AA and AS all commenting on various drafts. SC and AS are guarantors.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2288/11/100/prepub

Acknowledgements

We are grateful to the participants and colleagues who contributed to the individual case studies that we have drawn on. This work received no direct funding, but it has been informed by projects funded by Asthma UK, the NHS Service Delivery Organisation, NHS Connecting for Health Evaluation Programme, and Patient Safety Research Portfolio. We would also like to thank the expert reviewers for their insightful and constructive feedback. Our thanks are also due to Dr. Allison Worth who commented on an earlier draft of this manuscript.

• Yin RK. Case study research, design and method. 4. London: Sage Publications Ltd.; 2009. [ Google Scholar ]
• Keen J, Packwood T. Qualitative research; case study evaluation. BMJ. 1995; 311 :444–446. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Sheikh A, Halani L, Bhopal R, Netuveli G, Partridge M, Car J. et al. Facilitating the Recruitment of Minority Ethnic People into Research: Qualitative Case Study of South Asians and Asthma. PLoS Med. 2009; 6 (10):1–11. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Pinnock H, Huby G, Powell A, Kielmann T, Price D, Williams S, The process of planning, development and implementation of a General Practitioner with a Special Interest service in Primary Care Organisations in England and Wales: a comparative prospective case study. Report for the National Co-ordinating Centre for NHS Service Delivery and Organisation R&D (NCCSDO) 2008. http://www.sdo.nihr.ac.uk/files/project/99-final-report.pdf
• Robertson A, Cresswell K, Takian A, Petrakaki D, Crowe S, Cornford T. et al. Prospective evaluation of the implementation and adoption of NHS Connecting for Health's national electronic health record in secondary care in England: interim findings. BMJ. 2010; 41 :c4564. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Pearson P, Steven A, Howe A, Sheikh A, Ashcroft D, Smith P. the Patient Safety Education Study Group. Learning about patient safety: organisational context and culture in the education of healthcare professionals. J Health Serv Res Policy. 2010; 15 :4–10. doi: 10.1258/jhsrp.2009.009052. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• van Harten WH, Casparie TF, Fisscher OA. The evaluation of the introduction of a quality management system: a process-oriented case study in a large rehabilitation hospital. Health Policy. 2002; 60 (1):17–37. doi: 10.1016/S0168-8510(01)00187-7. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Stake RE. The art of case study research. London: Sage Publications Ltd.; 1995. [ Google Scholar ]
• Sheikh A, Smeeth L, Ashcroft R. Randomised controlled trials in primary care: scope and application. Br J Gen Pract. 2002; 52 (482):746–51. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• King G, Keohane R, Verba S. Designing Social Inquiry. Princeton: Princeton University Press; 1996. [ Google Scholar ]
• Doolin B. Information technology as disciplinary technology: being critical in interpretative research on information systems. Journal of Information Technology. 1998; 13 :301–311. doi: 10.1057/jit.1998.8. [ CrossRef ] [ Google Scholar ]
• George AL, Bennett A. Case studies and theory development in the social sciences. Cambridge, MA: MIT Press; 2005. [ Google Scholar ]
• Eccles M. the Improved Clinical Effectiveness through Behavioural Research Group (ICEBeRG) Designing theoretically-informed implementation interventions. Implementation Science. 2006; 1 :1–8. doi: 10.1186/1748-5908-1-1. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Netuveli G, Hurwitz B, Levy M, Fletcher M, Barnes G, Durham SR, Sheikh A. Ethnic variations in UK asthma frequency, morbidity, and health-service use: a systematic review and meta-analysis. Lancet. 2005; 365 (9456):312–7. [ PubMed ] [ Google Scholar ]
• Sheikh A, Panesar SS, Lasserson T, Netuveli G. Recruitment of ethnic minorities to asthma studies. Thorax. 2004; 59 (7):634. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Hellström I, Nolan M, Lundh U. 'We do things together': A case study of 'couplehood' in dementia. Dementia. 2005; 4 :7–22. doi: 10.1177/1471301205049188. [ CrossRef ] [ Google Scholar ]
• Som CV. Nothing seems to have changed, nothing seems to be changing and perhaps nothing will change in the NHS: doctors' response to clinical governance. International Journal of Public Sector Management. 2005; 18 :463–477. doi: 10.1108/09513550510608903. [ CrossRef ] [ Google Scholar ]
• Lincoln Y, Guba E. Naturalistic inquiry. Newbury Park: Sage Publications; 1985. [ Google Scholar ]
• Barbour RS. Checklists for improving rigour in qualitative research: a case of the tail wagging the dog? BMJ. 2001; 322 :1115–1117. doi: 10.1136/bmj.322.7294.1115. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mays N, Pope C. Qualitative research in health care: Assessing quality in qualitative research. BMJ. 2000; 320 :50–52. doi: 10.1136/bmj.320.7226.50. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mason J. Qualitative researching. London: Sage; 2002. [ Google Scholar ]
• Brazier A, Cooke K, Moravan V. Using Mixed Methods for Evaluating an Integrative Approach to Cancer Care: A Case Study. Integr Cancer Ther. 2008; 7 :5–17. doi: 10.1177/1534735407313395. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Miles MB, Huberman M. Qualitative data analysis: an expanded sourcebook. 2. CA: Sage Publications Inc.; 1994. [ Google Scholar ]
• Pope C, Ziebland S, Mays N. Analysing qualitative data. Qualitative research in health care. BMJ. 2000; 320 :114–116. doi: 10.1136/bmj.320.7227.114. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Cresswell KM, Worth A, Sheikh A. Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare. BMC Med Inform Decis Mak. 2010; 10 (1):67. doi: 10.1186/1472-6947-10-67. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Malterud K. Qualitative research: standards, challenges, and guidelines. Lancet. 2001; 358 :483–488. doi: 10.1016/S0140-6736(01)05627-6. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Yin R. Case study research: design and methods. 2. Thousand Oaks, CA: Sage Publishing; 1994. [ Google Scholar ]
• Yin R. Enhancing the quality of case studies in health services research. Health Serv Res. 1999; 34 :1209–1224. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Green J, Thorogood N. Qualitative methods for health research. 2. Los Angeles: Sage; 2009. [ Google Scholar ]
• Howcroft D, Trauth E. Handbook of Critical Information Systems Research, Theory and Application. Cheltenham, UK: Northampton, MA, USA: Edward Elgar; 2005. [ Google Scholar ]
• Blakie N. Approaches to Social Enquiry. Cambridge: Polity Press; 1993. [ Google Scholar ]
• Doolin B. Power and resistance in the implementation of a medical management information system. Info Systems J. 2004; 14 :343–362. doi: 10.1111/j.1365-2575.2004.00176.x. [ CrossRef ] [ Google Scholar ]
• Bloomfield BP, Best A. Management consultants: systems development, power and the translation of problems. Sociological Review. 1992; 40 :533–560. [ Google Scholar ]
• Shanks G, Parr A. Proceedings of the European Conference on Information Systems. Naples; 2003. Positivist, single case study research in information systems: A critical analysis. [ Google Scholar ]

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Call for Case Studies: Strategic Action for Urban Health

The WHO Urban Health team is seeking examples that illustrate a strategic approach to urban health. Collectively, these case studies are intended to show that such an approach can originate and flourish from a wide range of entry points across a diversity of sectors and scales, while leveraging many different combinations of partners. The case studies will inform a major global WHO report on strategic action for urban health, expected in fall 2024. Selected cases will be developed for inclusion in the report; the urban health team will work with submitters of these cases to produce concise summaries. All submitted cases that meet eligibility criteria will be promoted and made available on the WHO website and, as appropriate, in subsequent publications.

Background to this call

The health of urban populations emerges from the interactions of urban environments with the behaviour of individual actors and human institutions. Urban health is both a measure of the levels and patterns of health and wellbeing in cities and the art and science of safeguarding and continually improving them.

Because every aspect of urban life can affect human wellbeing, urban health relies on action across all sectors—not only within health, but across planning, housing, transportation, water, sanitation, energy, and many others. This breadth of influences is widely recognized, yet urban health action has often focused on improving health impacts within a single sector or system, or alternatively, on addressing a narrowly defined set of health outcomes, modifying certain key behaviours, or improving health for a particular population group.

Such efforts have widely succeeded in improving urban health outcomes, and cities are healthier, on average, than rural areas. Yet, much remains to be done. Urban areas feature large—and often growing—health inequities, especially in slums and informal settlements. In virtually all cities, there remain unrealized opportunities to improve health and health equity.

Moreover, the actions needed to improve health in cities often positively impact other goals of sustainable development. There is thus tremendous potential for achieving co-benefits through an approach that accounts for dynamic interactions across sectors.

Achieving the highest levels of urban health—and realizing its wide-ranging potential co-benefits—requires coordinating action across all urban sectors and systems while anticipating future challenges. That is, it depends on a strategy to sustainably mainstream health across urban policy and practice. This ‘strategic’ approach to urban health depends, among other things, on sophisticated arrangements for governance and finance, generating and working with evidence, fostering innovation, and generating and sustaining effective partnerships while promoting broad participation.

WHO’s urban health team has been working to develop guidance on strategic action for urban health, including through a recent series of policy briefs focusing on these issues. This case study call will add to this effort, helping to make visible the relevance, potential, and possibilities of strategic action.

Eligibility criteria and call information

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• Published: 20 June 2024

Students’ perception of peer teaching in engineering education: a mixed–method case study

• Constantin Cătălin Dosoftei 1 &
• Lidia Alexa 1  

Humanities and Social Sciences Communications volume  11 , Article number:  793 ( 2024 ) Cite this article

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• Science, technology and society

Background : Engineering education is constantly evolving and adapting to meet the demand for diverse skills and competencies in graduates, in response to the changing global economy and technological advancements. This requires shifting from a traditional content-oriented and professor-focused approach towards a more interactive, student-centered approach in which students actively engage in all process stages. The study’s main objective was to examine the students’ perceptions of peer teaching and better understand the method’s perceived advantages and disadvantages. The research was conducted over two academic years (2021 and 2022) and involved 96 students. The research incorporated quantitative and qualitative data collected through online questionnaires completed by the students at the end of the semester. The results showed a cumulative positive response rate for all close-ended questions of over 60%. The correlation analysis revealed medium positive relationships among the variables, including self-confidence, academic performance, communication and active listening, teamwork, knowledge consolidation, student-teacher benefits, and teaching activity. The thematic analysis of the open-ended questions showed that 87% of the respondents perceived the peer-teaching experience as positive and valuable. The main advantages listed by students were better communication, practicality, increased attention and interaction, and overcoming student-teacher anxiety. The main disadvantage was the perceived lack of structure and experience in coordinating laboratory work. The study results indicate that peer-based instructional methods can lead to more effective dissemination of knowledge among students, as evidenced by the high percentage of respondents who reported improved comprehension through peer-to-peer explanations. At the same time, the efficacy of this approach is contingent upon the instructor’s preparation and support, which facilitates the learning process and enhances the classroom’s social dynamics.

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Introduction.

The engineering educational landscape has undergone significant shifts in recent years, with a growing emphasis on developing a broad range of skills and competencies in engineering students beyond technical expertise. The demand for engineers with diverse skills and competencies has risen in response to the increasing complexity of the global economy and technological advancement (Jamieson and Lohman, 2012 ).

This poses multiple challenges for more traditional and content-focused engineering education institutions, which predominately use lectures and demonstrations, teaching methods that no longer meet students’ 21st-century competencies and academic needs (Orji and Ogbuanya, 2018 ). To meet this demand, educational institutions have had to adapt curricula and teaching methods to better prepare students for success in the modern workforce.

Changes have been made in the instructional process in engineering schools worldwide, recognising the need for a more holistic approach to preparing engineers for the challenges and opportunities of the modern world. This has involved a shift from the content-oriented and instructor-focused approach (Lindblom-Ylänne et al. 2006 ) towards a more hands-on, active learning approach, such as cooperative learning and peer teaching, which effectively develops critical thinking, problem-solving, and communication skills in engineers, essential for success in the 21st century (Lima et al. 2017 ; Hartikainen et al. 2019 ; Tomkin et al. 2019 ; Tullis and Goldstone, 2020 ).

In this study, we investigate using a specific active learning technique, namely student peer teaching, in the context of an elective laboratory class on Hydropneumatics Drives offered within the bachelor’s degree program in Automation and Applied Informatics at the Faculty of Automatic Control and Computer Engineering. The course aims to give students a comprehensive understanding of pneumatic drives and their advantages over mechanical, hydraulic, or electrical equipment. The study was conducted over two consecutive academic years, 2021 and 2022, and focuses specifically on the laboratory component of the course.

The current paper is structured into five sections, each providing a comprehensive overview of the study’s objectives and methods. The first section examines the literature on peer learning and peer teaching in higher education. The second section presents the research setting and the specific peer teaching process and activities utilized in the Hydropneumatics Drives laboratory. The third section describes the methodology employed throughout the study, including the techniques and methods used to collect and analyse data. The fourth section presents the study’s findings, including a detailed discussion of the outcomes. Finally, the fifth section concludes the paper by highlighting the study’s limitations, providing recommendations for future research, and discussing the implications of the findings for Higher Education Institution (HEI) professors.

Peer learning and peer teaching

The word “peer” comes from the Latin word “par,” meaning equal and describes someone who is a member of the same social group, profession, or age range as oneself. Learning with and from one’s peers is a natural and common human activity, and this type of learning has been proven to be very beneficial for all parties involved (Meeuwisse et al. 2010 ; Soldner et al. 2012 ; Snyder et al. 2016 ; Gong et al. 2020 ).

Peer learning can be defined as “the use of teaching and learning strategies in which students learn with and from each other without the immediate intervention of a teacher” (Boud et al. 1999 ).

Peer learning is becoming increasingly popular in various disciplines and contexts because it offers many advantages for students as it allows them to learn by explaining their ideas to others and engaging in activities where they can learn from their peers. It creates a non-competitive empowering environment (Egbochuku and Obiunu, 2006 ) and helps them to develop skills such as organizing and planning learning activities, working effectively in teams, providing and receiving feedback, and evaluating their learning (Boud, 2001 ; Bene and Bergus, 2014 ; Williams and Reddy, 2016 ).

One critical benefit of peer learning is that it allows students to take on active roles in their education rather than being passive recipients of information. This can increase motivation and engagement, as students are more likely to be invested in the material when actively participating in the learning process (Glynn et al. 2006 ; Lucas, 2009 ; Rusli et al. 2020 ). Multiple previous studies have demonstrated that these programs not only enhance students’ self-assurance and better equip them for assessments/exams but also enhance academic achievements and encourage further academic pursuits (Altintas et al. 2016 ; Rohrbeck et al. 2003 ; Elshami et al. 2020 ; Williams and Reddy, 2016 ; Porter et al. 2013 ).

At the same time, peer teaching is a mutually beneficial process for both student learners and student teachers as it allows for revising and deepening knowledge (Boud, 2001 ; Capstick, 2004 ; Ramaswamy et al. 2001 ; Tullis and Goldstone, 2020 ; Boud, 2001 ). Student-teachers can improve their communication skills by explaining complex ideas to others, which is crucial for working in groups and with colleagues. The need to explain the material to others can increase both the willingness to acquire knowledge (Daud and Ali, 2014 ) and actual learning by allowing one to understand better, clarify, and internalize the information, identify misconceptions, and gain new perspectives (Webb, et al. 2009 ; Bene and Bergus, 2014 ; Erlich and Shaughnessy, 2014 ).

A widely recognized educational tool, the Learning Pyramid, suggests that the most effective way to learn and gain skills so necessary in engineering is by practicing or actively participating - with the most significant value of 90% retention, teaching the material to someone else - with 70% retention, and discussing the material with others - with 50% retention (Al-Badrawy, 2017 ; Gabor et al. 2022 ).

These methods have been the subject of significant research in recent years, with studies showing that they can effectively enhance student engagement, motivation, and achievement in various educational contexts (Felder and Silverman, 1988 ; Prince, 2004 ; Roseth et al. 2008 ; Secomb, 2008 ).

The studies focusing on engineering education revealed that active learning methods and, significantly, peer teaching effectively improved engineering students’ conceptual understanding and problem-solving skills (Felder and Silverman, 1988 ; Smith, et al. 2009 ), overall academic performance, and attitude toward learning (Prince, 2004 ; Freeman, et al. 2014 ; Tullis and Goldstone, 2020 ; Bene and Bergus, 2014 ; Hailikari et al. 2021 ).

The research setting

In the era of rapid technological advancement, engineering graduates are expected to have a strong innovative mindset and be equipped to tackle complex challenges posed by new technologies. The quality of education students receive during their studies, including acquiring essential skills and competencies, will play a significant role in meeting these demands. Revamping the way laboratory hours are conducted, using new and effective methods, provides students with an in-depth understanding of their chosen engineering field and boosts their confidence in their abilities. Therefore, laboratories are considered essential to engineering programs and are used as part of an active learning strategy (Rodgers, et al. 2020 ).

The experimental laboratory is critical to engineering education as it enables students to apply theoretical concepts to real-life scenarios. By allowing students to observe, measure, and analyse real-world phenomena, they gain a deeper understanding of engineering principles. Hands-on learning opportunities and exposure to the dynamic engineering field through the laboratory can significantly enhance student engagement and intrinsic motivation (Snětinová and Kácovský, 2019 ).

The Hydropneumatics Drives laboratory is used to test and study pneumatic drive systems. Pneumatic drives use pressurized gas, typically air, to power and control mechanical devices. These systems are used in various applications, including manufacturing, material handling, and automation. In a hydropneumatics drives laboratory, future engineers might test and analyse the performance of pneumatic actuators, valves, and other components and study the design and operation of pneumatic drive systems.

The Hydropneumatics Drives laboratory is a “hands-on” lab where the students learn through interactive activities or exercises that allow them to gain practical experience by performing a task or series of tasks, typically using didactic or industrial equipment and/or software for pneumatic circuit designing. With access to the latest equipment and technology, students can conduct experiments and research that would otherwise not be possible, providing a more authentic and valuable learning experience. In parallel with the new setting and equipment, in 2021, reciprocal peer teaching was introduced as a learning method. This approach can be effective in helping students to better understand concepts and retain information, as it allows them to actively engage with the material and learn from a peer who may have a different perspective or approach to the subject (Deslauriers et al. 2011 ).

Additionally, reciprocal peer teaching helps students develop essential soft skills, such as communication, critical thinking, problem-solving, teamwork, and collaboration, which are becoming more important in the new economic and industrial context (Tullis and Goldstone, 2020 ).

The laboratory is conducted with a group of students (usually four groups) formed out of 12–15, divided into three teams according to the student’s preferences. It is necessary to make an appointment for each student to take on the laboratory teacher role. Each student must take on this role at least once. After a complete rotation, when each student has taken on this role, for the remaining laboratory sessions, it is up to them to select the role, no longer being a requirement.

Considering an experimental laboratory’s complexity, the student-teachers must prepare for the working lab in advance. This training consists of two parts: first, they must read the laboratory description independently. In the second part, all student-teachers meet with the professor to highlight essential things from the next lab, starting with the learning goals and students’ expectations and ending with the results of the experiments and conclusions drawn from the results of the laboratory assignment. The entire process is presented in Fig. 1 .

The workflow in the experimental laboratory for Student Peer Teaching.

Through performing experiments and collecting data before the lab, student-teachers can apply and reinforce their understanding of scientific concepts and principles, which they will present and discuss with their colleagues in time of the laboratory. In the equipment portfolio, there are transparent or cut-away versions of teaching equipment which are imperative for understanding the principles of operation of a particular piece of equipment. These allow students to visualize the concepts they are learning about and can be used to demonstrate the principles of operation in a safe and controlled environment. It also allows peer teachers in the laboratory to focus on specific parts of the equipment, making the explanation more detailed and accurate for their colleagues to understand. Another tool for learning is the animation of working for each piece of equipment available from the equipment producer or the Internet.

However, the student-teachers can still use various other online resources to enhance their explanations and make them more detailed and precise, so that their colleagues can better understand.

During the labs, when the weight centre is shifted from the professor to the student-teachers, the professor can observe the entire learning process and act as a guide and facilitator, helping student-teachers present the procedures of the laboratory and providing guidance as needed. This is the basis of the pedagogy of engagement in which the professor assumes the role of designing and facilitating the learning experiences (Smith et al. 2005 ).

The study’s main objective was to examine the computer science student’s perception of peer teaching and better understand the method’s perceived advantages and disadvantages in a Hydropneumatics Drives laboratory context.

To evaluate the effectiveness of the chosen method of instruction, the research team aimed to provide answers to two research questions:

How do students perceive the peer-teaching experience?

What are the perceived advantages and disadvantages of the method from the student’s perspective?

To achieve this objective, the research team employed a pragmatic approach, incorporating both quantitative and qualitative data, to gain deeper insight into students’ views on the peer-teaching process.

Participants

The study participants were computer science students enrolled in the Hydropneumatics Drives laboratory course during two consecutive academic years: 2021 and 2022. There were 96 students in total, 42 students in the 2021 academic year and 54 students in the 2022 academic year. All students participated in the peer teaching process as both student teachers and learners, and therefore, they all had to complete the two questionnaires.

As seen from Tables 1 and 2 , 59 students completed the student-learner questionnaire, representing a 61% response rate, while 62 students completed the student–teacher questionnaire, representing a 65% response rate.

For context, 30.5% of the respondents completed the course in the 1st Semester of 2021, while 69.5% completed the course in the 1st Semester of 2022.

The student–teacher questionnaire is presented in Table 2 .

For the second questionnaire, 27.4% of the respondents completed the course in the 1st Semester of 2021, and 72.6% of the students completed the course in the 1st Semester of 2022.

Data collection

In the data collection stage, the students completed two questionnaires, one from the student-learner perspective and one from the student-teacher perspective. The students were asked to complete the online survey at the end of the semester, and the data was collected via Google Forms.

Both questionnaires had two parts, one that included close-ended questions using a 5-point liker scale (1 = Strongly disagree; 2 = Disagree; 3 = Neither agree nor disagree; 4 = Agree; 5 = Strongly agree) and open-ended questions regarding the advantages and disadvantages of the instructional process and recommendations.

The student-learners questionnaire included:

13 close-ended questions using a 5-point Likert scale for each evaluation criteria (see Table 3 ).

One open-ended question referred to the perceived advantages and disadvantages of the peer teaching method.

The student–teachers’ questionnaire included:

10 close-ended questions using a 5-point Likert scale for each evaluation criteria (see Table 4 ).

4 open-ended questions referred to the reasons they chose/did not choose to teach more than one seminar, the difficulties they faced, and the things they would do differently if given the opportunity.

Data analysis

The analysis was based on two main categories: quantitative and qualitative.

The quantitative analysis was executed using multiple tests in SPSS, while the qualitative one used manual coding in Excel on both student-teacher and student-learner questionnaires, with the same analysis steps being considered. For the quantitative analysis, 13 questions were designed to be studied on the student-learners scale and 10 for the student-teachers scale, respectively. As a first step, to validate the questionnaire items, a Reliability Analysis was run and the Cronbach’s Alpha values indicate there is a correspondence between the questions selected and they are relevant for the survey. The Alpha values being compared with the 0.8 threshold (0.891 > 0.8 for student-learners), (0.818 > 0.8 for student-teachers). Based on the validated items, a series of Descriptive Statistics determined an average cumulative positive impact on student-teachers of 74.66% based on the interval (62.9–95.1%) and the same average cumulative positive impact had a value of 80.12% (60.4% - 100%) for the student-learners scale. The last step in the quantitative section was to apply a correlation analysis to measure the strength of the relationship between the variables. Testing the Pearson Correlation Coefficient with a significance level chosen ( p -value < 0.05), a group of positive, strong relationships (r > 0.5) were described on both scales. For the student-learner questionnaire, 6 relationships are identified, with Pearson Correlation values between (r = 0.516 – r = 0.625) and 14 relationships for the student-teacher scale, having values between (r = 0.503 – r = 0.654).

The qualitative analysis reports four main themes grouped as two factors on each scale: the student-teacher scale describes Advantages and Disadvantages, and the student-learners define Difficulties and Improvements. The first step outlines going through the open-ended questions and manually coding the responses into keywords. Following this, each keyword, based on frequency, is grouped within its relevant theme.

Results and discussions

Insights from the quantitative analysis.

As presented in Table 3 , the cumulative positive response rate for all close-ended questions was over 60%.

According to the table, the positive response regarding the laboratory room was 100%, followed by the laboratory equipment used, with a cumulative positive value of 98.3%. The results show the importance of the laboratory setting and equipment for technical labs. The correlation analysis also supports this, as medium positive relationships ( > 0.5) between the following variables were identified: a strong relationship between laboratory equipment (Q10) and laboratory room (Q12) (r = 0.625) and a medium relationship between the number of students (Q11) and laboratory room (Q12) (r = 0.622). Other relevant statistical relationships were between the following variables: a medium relationship between student-teaching methods (Q2) and training (Q8) (r = 0.546), a medium relationship between preparation and knowledge (Q9), and an explanation by a colleague of the material (Q4) (r = 0.516), a medium relationship between expectations (Q6) and training (Q8) (r = 0.593) and medium relationship between expectations (Q6) and peer-led laboratories (Q13) (r = 0.572).

According to the data in Table 4 , a positive impact was observed for all questions regarding the respondents’ opinions, with a cumulative value of the first two response options (Agree and Strongly Agree) exceeding 60%.

According to the Pearson correlation coefficient (r), medium relationships exist among the items used in the analysis. Medium relationships were identified between self-confidence (Q1) and each of the following variables: academic performance (Q2) (r = 0.580), communication and active listening (Q3) (r = 0.580), student-teacher benefits (Q6) (r = 0.654), and teaching activity (Q7) (r = 0.513). Additionally, medium relationships were identified for academic performance with the following variables: communication and active listening (Q3) (r = 0.543), knowledge consolidation (Q4) (r = 0.522), teamwork (Q5) (r = 0.524), and student-teacher benefits (Q6) (r = 0.605). For communication and active listening skills, medium relationships were identified with the following variables: knowledge consolidation (Q4) (r = 0.576), teamwork (Q5) (r = 0.594), and teaching activity (Q7) (r = 0.503). For the knowledge consolidation variable, medium relationships were identified with teamwork (Q5) (r = 0.573) and student-learner benefits (Q10) (r = 0.554). A medium relationship was also identified between student-teacher benefits (Q6) and teaching activity (Q7) (r = 0.642).

Insights from the qualitative analysis

The responses from the open-ended questions were transcribed, divided into meaningful fragments, coded manually, and analysed using a thematic analysis, which represents the process of “identifying, analysing, and reporting patterns (themes) within data” (Braun and Clarke, 2006 ). The first step of the process consisted of a review of the initial transcribed versions done by the authors. The goal was to better understand the students’ perceptions regarding the overall value of the peer-teaching process and the method’s strengths and weaknesses. The open-ended question in the student–learner questionnaire referred to the perceived advantages and disadvantages of the peer teaching method, and several themes emerged predominantly from the 57 valid answers received. Detailed information on the number of themes and sample responses from the respondents is presented in Tables 5 to 8 .

When asked whether they think the method has proved valuable, 87% answered that the peer-teaching experience was positive and valuable mainly because they felt more comfortable interacting and asking questions. Two students considered that there was no value in the instructional method, and two gave neutral answers (both yes and no). The thematic analysis of the main advantages of the peer-teaching process listed by students is presented in Table 5 .

The main disadvantages of the method perceived by student-learners are presented in Table 6 .

In terms of disadvantages perceived by students, some listed the difference in expertise between student-teachers and professors, leading to students not trusting their peer teachers and, consequently, not learning as much from peers as they do from professors. This result is in line with other studies (Boud et al. 2001 ; Lelis, 2017 ; Sim, 2003 ). Several students mentioned this is a valuable instructional method, but it should be used occasionally. The results also highlight the relevance of several contextual factors, such as individualized teaching-learning style, confidence level, or motivation, that significantly impact the learning-teaching process (Ramm et al. 2015 ; Zarifnejad et al. 2018 ).

The open-ended questions in the student-teacher questionnaire asked about the reasons they chose/did not choose to teach more than one seminar, the difficulties they faced, and the things they would do differently if given the opportunity.

Out of the 62 students who completed the questionnaire, only 34% chose to teach a second time. Over 80% of the students who chose not to teach again did this due to busy academic schedules and inability to participate in the training sessions with the professor (10), impossibility due to activity format and team organization (10), lack of perceived incentives (2), lack of enjoyment of teaching activity (2), perceived lack of talent and lack of confidence (2). An important aspect to mention is the extra work and time student-teachers must put into participating in and delivering the class.

Out of the 34% who decided to teach more than one laboratory, most listed that they learn better when explaining the subject to a colleague because they feel a certain responsibility toward their peers.

However, the main advantages perceived by most peer teachers, regardless of whether they taught more than one laboratory, revolved around two aspects: gaining an in-depth understanding of the subject and developing better communication and presentation skills, both elements confirmed by previous studies on the matter (Tullis and Goldstone, 2020 ; Daud and Ali, 2014 ; Smith, et al. 2009 ).

In terms of the difficulties encountered in the teaching process, 20 students declared that they encountered no difficulties; for the other answers, the main categories identified are listed in Table 7 .

Although the instructional method has multiple benefits, the study revealed a series of drawbacks and challenges.

The first refers to the level of expertise and the need for consistent preparation to deliver quality content. Student responses reinforce the findings of prior research that emphasize the importance for peer-teachers to thoroughly understand the subject matter in order to teach effectively (Stigmar, 2016 ; Menezes and Premnath, 2016 ). The lack of confidence and perceived authority among their peers have also been listed in previous studies as challenges of the method (Irvine et al. 2018 ), as students are sometimes unsure of the tone to use to appear knowledgeable on the subject without seeming arrogant.

When asked what they would do differently if given the opportunity to teach again, nine out of 62 students said that they wouldn’t change anything, while the rest of the 53 listed aspects are included in the categories presented in Table 8 .

After looking across all the comments and comparing the perspectives from both roles, student and teacher, some interesting results arose on the perceived value of the peer teaching instructional method. First, from the student-learner perspective, the aspect of increased engagement and better communication mentioned by students participating in the study was listed by other studies as well (Boud, 2001 ; Lelis, 2017 ; Bulte et al. 2007 ; Lucas, 2009 ; Tullis and Goldstone, 2020 ). Another relevant aspect refers to the student-teacher benefits, namely, learning better by explaining the subject to a colleague. Through teaching, they gained an in-depth understanding of the subject and developed better communication and presentation skills.

The positive impact is also highlighted by the fact that students who participated in the laboratory sessions in the previous academic year showed an increased interest in pursuing bachelor thesis projects related to the pneumatic automation field over the past year.

Conclusions

This study aimed to examine engineering students’ perceptions of the advantages and disadvantages of peer teaching after implementing the method in a specific setting, namely a Hydropneumatics Drives laboratory. Although the analysis is limited to a specific context, the results are promising and support the available literature on peer teaching methods in engineering education.

The results show that students respond positively to the social elements of the peer teaching process, as many highlighted positive aspects related to „better communication” or „increased attention and interaction.” These outcomes are confirmed by previous studies on this matter (Hammond et al. 2010 ; Tullis and Goldstone, 2020 ) and highlight the importance of feeling comfortable asking questions and receiving answers in relevant and applicable terms. Furthermore, the fact that over 70% of respondents declared that they understood the laboratory better when a classmate explained it reinforces the results of previous research highlighting the impact of peer teaching on academic performance (Tullis and Goldstone, 2020 ; Rusli et al. 2020 ). However, the fact that there is a strong positive relationship between preparation and knowledge (Q9) and explanation by a colleague of the material (Q4), means that the success of the instructional method is highly dependent on the preparation of all stages and the professor’s ability to guide and provide support for student-teachers in the preparation and delivering process. An additional benefit of this method lies in the enhancement of empathy between students and professors, as the practicality of the teaching experience offers students a different viewpoint and promotes a deeper understanding of the pedagogical process.

An effective learning process is characterized by its ability to foster student independence, enhance confidence, and elevate motivation. Our results show that peer teaching can be a valuable method for training students to develop independence, enhance their confidence, and increase their enthusiasm to learn, as these are directly related to students assuming responsibility for their own learning. Overall, the study reveals that taking on the teacher role comes with both academic benefits (gaining an in-depth understanding of the subject) and personal benefits (developing better communication and presentation skills). This can further lead to another benefit for the students and the institution: opening the possibility to follow an academic career. This is important as the industry represents a more appealing option, especially for computer science graduates, and fewer decide to continue with a Ph.D. and remain as professors.

The study also has some limitations as it was conducted in a specific setting with a restricted number of computer science students who enrolled in the Hydropneumatics Drives laboratory. Students were all assigned both roles as teachers and as learners, and the demographic data was not included in the analysis. Future studies should be conducted on other courses with larger sample sizes and random assignments. Another useful direction for future studies is investigating the long-term effects of peer teaching on students’ academic performance and retention rates. This can provide valuable information regarding the long-term sustainability of this instructional method, as more research is needed to fully understand its potential impact and optimal implementation strategies.

Data availability

All data generated or analyzed during this study are included in this published article.

Al-Badrawy A-N (2017) Role of Engineering Design in Enhancing ABET Outcomes of Engineering Programs at Taif University. INTERNATIONAL JOURNAL APPLIED SCIENCE Technology. Vol. 6. 9-15., 39 1:9–14

Google Scholar  

Altintas T, Gunes A, Sayan H (2016) A peer-assisted learning experience in computer programming language learning and developing computer programming skills. Innov. Educ. Teach. Int. 53:329–337

Article   Google Scholar  

Bene K, Bergus G (2014) When learners become teachers: a review of peer teaching in medical student education. Fam. Medicion. 46(10):783–787

Boud, D (2001). Making the move to peer learning. In DC Boud, Peer Learning in Higher Education: Learning from and with each other (pp. 1-20.). London: Kogan Page (now Routledge)

Boud D, Cohen R, Sampson J (1999) Peer learning and assessment. Assess. High. Educ. 24:413–426

Boud D, Cohen R, Sampson J (2001) Peer learning in higher education: Learning from and with each other. Kogan Page, London

Braun V, Clarke V (2006) Using a thematic analysis in psychology. Qualit. Res. Psychol. 3(2):77–101

Bulte C, Betts A, Garner K, Durning S (2007) Student teaching: views of student near-peer teachers and learners. Med Teach. 29(6):583–590

Article   PubMed   Google Scholar  

Capstick, S (2004). Benefits and shortcomings of peer assisted learning (PAL) in Higher Education: An appraisal by students,. Peer Assisted Learning Conference Proceedings . 2004: Bournemouth University

Daud, S, & Ali, S (2014). Perceptions of learners about peer assisted learning and lectures. Int. J. Sci. Res, 1449–1455

Deslauriers L, Schelew E, Wieman C (2011) Improved learning in a large-enrollment physics class. Science 332:862–864

Article   ADS   CAS   PubMed   Google Scholar  

Egbochuku, E, & Obiunu, J (2006). The effects of reciprocal peer counselling in the enhancement of self-concept among adolescents. Education Project Innovation Inc., 126 (3)

Elshami W, Abuzaid M, Abdalla M (2020) Radiography students’ perceptions of Peer assisted learning. Radiography 26:e109–e113

Article   CAS   PubMed   Google Scholar  

Erlich DR, Shaughnessy AF (2014) Student–teacher education programme (STEP) by step: Transforming medical students into competent, confident teachers. Med. Teach. 36(4):322–332

Felder RM, Silverman LK (1988) Learning and teaching styles in engineering education. Eng. Educ. 78(7):674–681

Freeman S, Eddy SL, McDonough M, Smith MK, Okoroafor N, Jordt H, Wenderoth MP (2014) Active learning increases student performance in science, engineering, and mathematics. Proc. Natl Acad. Sci. 111(23):8410–8415

Article   ADS   CAS   PubMed   PubMed Central   Google Scholar  

Gabor G, Lucache DD, Dosoftei CC (2022) Learning PLC-based Automation by Using an Educational Elevator. 2022 Int. Conf. Exposit. Electr. Power Eng. (EPE) 36(4):683–687

Glynn, L, MacFarlane, A, Kelly, M, Cantillon, & Murphy, A (2006). Helping each other to learn-a process evaluation of peer assisted learning. BMC Med. Educat. 6 (1)

Gong HJ, Park H, Hagood TC (2020) Peer learning in STEM: a qualitative study of a student-oriented active learning intervention program. Interact. Learn. Environ. 31(4):1922–1932

Hailikari, T, Virtanen, V, Vesalainen, M, & Postareff, L (2021). Student perspectives on how different elements of constructive alignment support active learning. Active Learning in Higher Education

Hammond JA, Bithell CP, Jones L, Bidgood P (2010) A first year experience of student-directed peer-assisted learning. Act. Learn. High. Educ. 11(3):201–212

Hartikainen S, Rintala H, Pylväs L, Nokelainen P (2019) The Concept of Active Learning and the Measurement of Learning Outcomes: A Review of Research in Engineering Higher Education. Educ. Sci. 9(4):276

Irvine S, Williams B, McKenna L (2018) Near-peer teaching in undergraduate nurse education: An integrative review. Nurse Educ. Today 70:60–68

Jamieson L, Lohman J (2012) Innovation with impact: Creating a culture for scholarly and systematic innovation in engineering education. American Society for Engineering Education, Washington, DC

Lelis C (2017) Participation ahead: perceptions of masters degree students on reciprocal peer learning activities. J. Learn. Des. 10(2):14–24

ADS   MathSciNet   Google Scholar  

Lima R, Andersson P, Saalman E (2017) Active learning in engineering education: A (re)introduction. Eur. J. Eng. Educ. 42:1–4

Lindblom-Ylänne S, Trigwell K, Nevgi A, Ashwin P (2006) How approaches to teaching are affected by discipline and teaching context. Stud. High. Educ. 31:285–298

Lucas A (2009) Using peer instruction and i-clickers to enhance student participation in calculus. Primus 19(3):219–231

Meeuwisse M, Severiens SE, Born MP (2010) Learning environment, interaction, sense of belonging and study success in ethnically diverse student groups. Res. High. Educ. 51(6):528–545

Menezes S, Premnath D (2016) Near-peer education: A novel teaching program. Int. J. Med. Educ. 7:160–167

Article   PubMed   PubMed Central   Google Scholar  

Orji, TC, & Ogbuanya, TC (2018). Assessing the effectiveness of problem-based and lecture-based learning environments on students’ achievements in electronic works. Int. J. Electrical Engineering Educat., 1–20

Porter, L, Bailey-Lee, C, & Simon, B (2013). Halving fail rates using peer instruction: A study of four computer science courses. SIGCSE ‘13: Proceedings of the 44th ACM technical symposium on computer science education (pp. 177–182). New York: ACM

Prince M (2004) Does Active Learning Work? A Review of the Research. J. Eng. Educ. 93(3):223–231

Ramaswamy S, Harris I, Tschirner U (2001) Student Peer Teaching: An Innovative Approach to Instruction in Science and Engineering Education. J. Sci. Educ. Technol. 10(No. 2):165–171

Ramm D, Thomson A, Jackson A (2015) Learning clinical skills in the simulation suite: the lived experiences of student nurses involved in peer teaching and peer assessment. Nurse Educ. Today 35(6):823–827

Rodgers TL, Cheema N, Vasanth S, Jamshed A, Alfutimie A, Scully PJ (2020) Developing pre-Laboratory Videos for Enhancing Student Preparedness. Eur. J. Eng. Educ. 45(2):292–304

Rohrbeck CA, Ginsburg-Block MD, Fantuzzo JW, Miller TR (2003) Peer-assisted learning interventions with elementary school students: A meta-analytic review. J. Educ. Psychol. 95:240–257

Roseth CJ, Garfield JB, Ben-Zvi D (2008) Collaboration in learning and teaching statistics. J. Stat. Educ. 16:1

Rusli, M, Degeng, NS, Setyosari, P, & Sulton, M (2020). Peer teaching: Students teaching students to increase academic performance. Teaching Theology & Religion

Secomb J (2008) A systematic review of peer teaching and learning in clinical education. J. Clin. Nurs. 17(6):703–716

Sim, L (2003). Student perceptions of peer learning in the English unit ‘Romanticism and Revolution’,. In AB O’Sullivan (Ed.), Partners in Learning: Proceedings of the 12th Annual Teaching and Learning Forum . Perth, Australia

Smith KA, Sheppard SD, Johnson DW, Johnson RT (2005) Pedagogies of Engagement: Classroom-Based Practices. J. Eng. Educ. 94(1):87–101

Smith MK, Wood WB, Adams WK, Wieman C, Knight JK, Guild N, Su T (2009) Why peer discussion improves student performance on in-class concept questions. Science 323(5910):122–124

Snětinová, M, & Kácovský, P (2019). Hands-on experiments in the interactive physics laboratory: A study of students’ intrinsic motivation. J. Phys. Conference Series, 1287(1)

Snyder JJ, Sloane JD, Dunk RD, Wiles JR (2016) Peer-led team learning helps minority students succeed. PLoS Biol. 14(3):1–7

Soldner M, Rowan-Kenyon H, Inkelas KK, Garvey J, Robbins C (2012) Supporting students’ intentions to persist in STEM disciplines: The role of living-learning programs among other social-cognitive factors. J. High. Educ. 83(3):311–336

Stigmar M 2016Peer-to-peer teaching in higher education: A critical literature review. Mentoring Tutoring Partnership in Learning 24(20):124–136

Tomkin, J, Beilstein, S, Morphew, J, & Herman, G (2019). Evidence that communities of practice are associated with active learning in large STEM lectures. Int. J. STEM Educat. 6(1)

Tullis, JG, & Goldstone, RL (2020). Why does peer instruction benefit student learning? Cognit. Res. Principles Implications, 5(1)

Webb N, Franke M, De T, Chan A, Freund D, Shein P, Melkonian D (2009) ‘Explain to your partner’: teachers’ instructional practices and students’ dialogue in small groups. Camb. J. Educ. 39(1):49–70

Williams B, Reddy P (2016) Does peer-assisted learning improve academic performance? A scoping review. Nurse Educ. Today 42:23–29

Zarifnejad, G, Mirhaghi, A, & Rajabpoor, M (2018). Does peer education increase academic achievement in first year students? A mixed-method study. J. Peer Learning, 11

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Dosoftei, C.C., Alexa, L. Students’ perception of peer teaching in engineering education: a mixed–method case study. Humanit Soc Sci Commun 11 , 793 (2024). https://doi.org/10.1057/s41599-024-03349-y

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Americans are embracing flexible work—and they want more of it

When the COVID-19 pandemic shuttered workplaces nationwide, society was plunged into an unplanned experiment in work from home. Nearly two-and-a-half years on, organizations worldwide have created new working norms  that acknowledge that flexible work is no longer a temporary pandemic response but an enduring feature of the modern working world.

About the survey

This article is based on a 25-minute, online-only Ipsos poll conducted on behalf of McKinsey between March 15 and April 18, 2022. A sample of 25,062 adults aged 18 and older from the continental United States, Alaska, and Hawaii was interviewed online in English and Spanish. To better reflect the population of the United States as a whole, post hoc weights were made to the population characteristics on gender, age, race/ethnicity, education, region, and metropolitan status. Given the limitations of online surveys, 1 “Internet surveys,” Pew Research Center. it is possible that biases were introduced because of undercoverage or nonresponse. People with lower incomes, less education, people living in rural areas, or people aged 65 and older are underrepresented among internet users and those with high-speed internet access.

The third edition of McKinsey’s American Opportunity Survey  provides us with data on how flexible work fits into the lives of a representative cross section of workers in the United States. McKinsey worked alongside the market-research firm Ipsos to query 25,000 Americans in spring 2022 (see sidebar, “About the survey”).

The most striking figure to emerge from this research is 58 percent. That’s the number of Americans who reported having the opportunity to work from home at least one day a week. 1 Many of the survey questions asked respondents about their ability or desire to “work from home.” “Work from home” is sometimes called “remote work,” while arrangements that allow for both remote and in-office work are often interchangeably labeled “hybrid” or “flexible” arrangements. We prefer the term flexible, which acknowledges that home is only one of the places where work can be accomplished and because it encompasses a variety of arrangements, whereas hybrid implies an even split between office and remote work. Thirty-five percent of respondents report having the option to work from home five days a week. What makes these numbers particularly notable is that respondents work in all kinds of jobs, in every part of the country and sector of the economy, including traditionally labeled “blue collar” jobs that might be expected to demand on-site labor as well as “white collar” professions.

About the authors

This article is a collaborative effort by André Dua , Kweilin Ellingrud , Phil Kirschner , Adrian Kwok, Ryan Luby, Rob Palter , and Sarah Pemberton as part of ongoing McKinsey research to understand the perceptions of and barriers to economic opportunity in America. The following represents the perspectives of McKinsey’s Real Estate and People & Organizational Performance Practices.

Another of the survey’s revelations: when people have the chance to work flexibly, 87 percent of them take it. This dynamic is widespread across demographics, occupations, and geographies. The flexible working world was born of a frenzied reaction to a sudden crisis but has remained as a desirable job feature for millions. This represents a tectonic shift in where, when, and how Americans want to work and are working.

The following six charts examine the following:

• the number of people offered flexible working arrangements either part- or full-time
• how many days a week employed people are offered and do work from home
• the gender, age, ethnicity, education level, and income of people working or desiring to work flexibly
• which occupations have the greatest number of remote workers and how many days a week they work remotely
• how highly employees rank flexible working arrangements as a reason to seek a new job
• impediments to working effectively for people who work remotely all the time, part of the time, or not at all

Flexible work’s implications for employees and employers—as well as for real estate, transit, and technology, to name a few sectors—are vast and nuanced and demand contemplation.

1. Thirty-five percent of job holders can work from home full-time, and 23 percent can do so part-time

A remarkable 58 percent of employed respondents—which, extrapolated from the representative sample, is equivalent to 92 million people from a cross section of jobs and employment types—report having the option to work from home for all or part of the week. After more than two years of observing remote work and predicting that flexible working would endure  after the acute phases of the COVID-19 pandemic, we view these data as a confirmation that there has been a major shift in the working world and in society itself.

We did not ask about flexible work in our American Opportunity Survey in past years, but an array of other studies indicate that flexible working has grown by anywhere from a third to tenfold since 2019. 1 Rachel Minkin et al., “How the coronavirus outbreak has—and hasn’t—changed the way Americans work,” Pew Research Center, December 9, 2020; “Telework during the COVID-19 pandemic: Estimates using the 2021 Business Response Survey,” US Bureau of Labor Statistics, Monthly Labor Review, March 2022.

Thirty-five percent of respondents say they can work from home full-time. Another 23 percent can work from home from one to four days a week. A mere 13 percent of employed respondents say they could work remotely at least some of the time but opt not to.

Forty-one percent of employed respondents don’t have the choice. This may be because not all work can be done remotely  or because employers simply demand on-site work. Given workers’ desire for flexibility, employers may have to explore ways to offer the flexibility employees want  to compete for talent effectively.

2. When offered, almost everyone takes the opportunity to work flexibly

The results of the survey showed that not only is flexible work popular, with 80 million Americans engaging in it (when the survey results are extrapolated to the wider population), but many want to work remotely for much of the week when given the choice.

Eighty-seven percent of workers offered at least some remote work embrace the opportunity and spend an average of three days a week working from home. People offered full-time flexible work spent a bit more time working remotely, on average, at 3.3 days a week. Interestingly, 12 percent of respondents whose employers only offer part-time or occasional remote work say that even they worked from home for five days a week. This contradiction appears indicative of a tension between how much flexibility employers offer and what employees demand .

3. Most employees want flexibility, but the averages hide the critical differences

There’s remarkable consistency among people of different genders, ethnicities, ages, and educational and income levels: the vast majority of those who can work from home do so. In fact, they just want more flexibility: although 58 percent of employed respondents say they can work from home at least part of the time, 65 percent of employed respondents say they would be willing to do so all the time.

However, the opportunity is not uniform: there was a large difference in the number of employed men who say they were offered remote-working opportunities (61 percent) and women (52 percent). At every income level, younger workers were more likely than older workers to report having work-from-home opportunities.

People who could but don’t work flexibly tend to be older (19 percent of 55- to 64-year-olds offered remote work didn’t take it, compared with 12 to 13 percent of younger workers) or have lower incomes (17 percent of those earning $25,000 to $74,999 per year who were offered remote work didn’t take it, compared with 10 percent of those earning over $75,000 a year). While some workers may choose to work on-site because they prefer the environment, others may feel compelled to because their home environments are not suitable, because they lack the skills and tools to work remotely productively, or because they believe there is an advantage to being on-site. Employers should be aware that different groups perceive and experience remote work differently and consider how flexible working fits with their diversity, equity, and inclusion strategies .

4. Most industries support some flexibility, but digital innovators demand it

The opportunity to work flexibly differs by industry and role within industries and has implications for companies competing for talent. For example, the vast majority of employed people in computer and mathematical occupations report having remote-work options, and 77 percent report being willing to work fully remotely. Because of rapid digital transformations across industries , even those with lower overall work-from-home patterns may find that the technologists they employ demand it.

A surprisingly broad array of professions offer remote-work arrangements. Half of respondents working in educational instruction and library occupations and 45 percent of healthcare practitioners and workers in technical occupations say they do some remote work, perhaps reflecting the rise of online education and telemedicine. Even food preparation and transportation professionals said they do some work from home.

5. Job seekers highly value having autonomy over where and when they work

The survey asked people if they had hunted for a job recently or were planning to hunt for one. Unsurprisingly, the most common rationale for a job hunt was a desire for greater pay or more hours, followed by a search for better career opportunities. The third-most-popular reason was looking for a flexible working arrangement.

Prior McKinsey research has shown that for those that left the workforce during the early phases of the COVID-19 pandemic, workplace flexibility was a top reason that they accepted new jobs . Employers should be aware that when a candidate is deciding between job offers with similar compensation, the opportunity to work flexibly can become the deciding factor.

6. Employees working flexibly report obstacles to peak performance

The survey asked respondents to identify what made it hard to perform their jobs effectively. Those working in a flexible model were most likely to report multiple obstacles, followed by those working fully remotely, and then by those working in the office. Our research doesn’t illuminate the cause and effect here: it could be that people who face barriers are more likely to spend some time working from home. It could also be that workers who experience both on-site and at-home work are exposed to the challenges of each and the costs of regularly switching contexts.

Some obstacles were reported at much higher rates by specific groups: for example, about 55 percent of 18- to 34-year-olds offered the option to work fully remotely say mental-health issues  impacted their ability to perform effectively, though only 17 percent of people aged 55 to 64 said the same. Workers with children at home  who were offered full-time remote-work options were far more likely than their peers without children to report that problems with physical health or a hostile work environment had a moderate or major impact on their job.

The results of the American Opportunity Survey reflect sweeping changes in the US workforce, including the equivalent of 92 million workers offered flexible work, 80 million workers engaged in flexible work, and a large number of respondents citing a search for flexible work as a major motivator to find a new job.

Competition for top performers and digital innovators demands that employers understand how much flexibility their talent pool is accustomed to and expects. Employers are wise to invest in technology, adapt policies, and train employees to create workplaces that integrate people working remotely and on-site (without overcompensating by requiring that workers spend too much time in video meetings ). The survey results identify obstacles to optimal performance that underscore a need for employers to support workers with issues that interfere with effective work. Companies will want to be thoughtful about which roles can be done partly or fully remotely—and be open to the idea that there could be more of these than is immediately apparent. Employers can define the right metrics and track them to make sure the new flexible model is working.

At a more macro level, a world in which millions of people no longer routinely commute has meaningful implications for the commercial core in big urban centers and for commercial real estate overall. Likewise, such a world implies a different calculus for where Americans will live and what types of homes they will occupy. As technology emerges that eliminates the residual barriers to more distributed and asynchronous work, it could become possible to move more types of jobs overseas, with potentially significant consequences.

In time, the full impact of flexible working will be revealed. Meanwhile, these data give us early insight into how the working world is evolving.

For more on the imperative for flexible work and how organizations can respond, please see McKinsey.com/featured-insights/ Future-of-the-workplace .

André Dua is a senior partner in McKinsey’s Miami office;  Kweilin Ellingrud is a senior partner in the Minneapolis office;  Phil Kirschner is a senior expert in the New York office, where Adrian Kwok is an associate partner and Ryan Luby is a senior expert; Rob Palter is a senior partner in the Toronto office; and Sarah Pemberton is a manager in the Hong Kong office.

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