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• What is Secondary Research? | Definition, Types, & Examples

What is Secondary Research? | Definition, Types, & Examples

Published on January 20, 2023 by Tegan George . Revised on January 12, 2024.

Secondary research is a research method that uses data that was collected by someone else. In other words, whenever you conduct research using data that already exists, you are conducting secondary research. On the other hand, any type of research that you undertake yourself is called primary research .

Secondary research can be qualitative or quantitative in nature. It often uses data gathered from published peer-reviewed papers, meta-analyses, or government or private sector databases and datasets.

Table of contents

When to use secondary research, types of secondary research, examples of secondary research, advantages and disadvantages of secondary research, other interesting articles, frequently asked questions.

Secondary research is a very common research method, used in lieu of collecting your own primary data. It is often used in research designs or as a way to start your research process if you plan to conduct primary research later on.

Since it is often inexpensive or free to access, secondary research is a low-stakes way to determine if further primary research is needed, as gaps in secondary research are a strong indication that primary research is necessary. For this reason, while secondary research can theoretically be exploratory or explanatory in nature, it is usually explanatory: aiming to explain the causes and consequences of a well-defined problem.

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Secondary research can take many forms, but the most common types are:

Statistical analysis

Literature reviews, case studies, content analysis.

There is ample data available online from a variety of sources, often in the form of datasets. These datasets are often open-source or downloadable at a low cost, and are ideal for conducting statistical analyses such as hypothesis testing or regression analysis .

Credible sources for existing data include:

• The government
• Government agencies
• Non-governmental organizations
• Educational institutions
• Businesses or consultancies
• Libraries or archives
• Newspapers, academic journals, or magazines

A literature review is a survey of preexisting scholarly sources on your topic. It provides an overview of current knowledge, allowing you to identify relevant themes, debates, and gaps in the research you analyze. You can later apply these to your own work, or use them as a jumping-off point to conduct primary research of your own.

Structured much like a regular academic paper (with a clear introduction, body, and conclusion), a literature review is a great way to evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

A case study is a detailed study of a specific subject. It is usually qualitative in nature and can focus on  a person, group, place, event, organization, or phenomenon. A case study is a great way to utilize existing research to gain concrete, contextual, and in-depth knowledge about your real-world subject.

You can choose to focus on just one complex case, exploring a single subject in great detail, or examine multiple cases if you’d prefer to compare different aspects of your topic. Preexisting interviews , observational studies , or other sources of primary data make for great case studies.

Content analysis is a research method that studies patterns in recorded communication by utilizing existing texts. It can be either quantitative or qualitative in nature, depending on whether you choose to analyze countable or measurable patterns, or more interpretive ones. Content analysis is popular in communication studies, but it is also widely used in historical analysis, anthropology, and psychology to make more semantic qualitative inferences.

Secondary research is a broad research approach that can be pursued any way you’d like. Here are a few examples of different ways you can use secondary research to explore your research topic .

Secondary research is a very common research approach, but has distinct advantages and disadvantages.

Advantages of secondary research

Advantages include:

• Secondary data is very easy to source and readily available .
• It is also often free or accessible through your educational institution’s library or network, making it much cheaper to conduct than primary research .
• As you are relying on research that already exists, conducting secondary research is much less time consuming than primary research. Since your timeline is so much shorter, your research can be ready to publish sooner.
• Using data from others allows you to show reproducibility and replicability , bolstering prior research and situating your own work within your field.

Disadvantages of secondary research

Disadvantages include:

• Ease of access does not signify credibility . It’s important to be aware that secondary research is not always reliable , and can often be out of date. It’s critical to analyze any data you’re thinking of using prior to getting started, using a method like the CRAAP test .
• Secondary research often relies on primary research already conducted. If this original research is biased in any way, those research biases could creep into the secondary results.

Many researchers using the same secondary research to form similar conclusions can also take away from the uniqueness and reliability of your research. Many datasets become “kitchen-sink” models, where too many variables are added in an attempt to draw increasingly niche conclusions from overused data . Data cleansing may be necessary to test the quality of the research.

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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
• Inclusion and exclusion criteria

Research bias

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

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Sources in this article

We strongly encourage students to use sources in their work. You can cite our article (APA Style) or take a deep dive into the articles below.

George, T. (2024, January 12). What is Secondary Research? | Definition, Types, & Examples. Scribbr. Retrieved April 2, 2024, from https://www.scribbr.com/methodology/secondary-research/

Largan, C., & Morris, T. M. (2019). Qualitative Secondary Research: A Step-By-Step Guide (1st ed.). SAGE Publications Ltd.

Peloquin, D., DiMaio, M., Bierer, B., & Barnes, M. (2020). Disruptive and avoidable: GDPR challenges to secondary research uses of data. European Journal of Human Genetics , 28 (6), 697–705. https://doi.org/10.1038/s41431-020-0596-x

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Primary vs Secondary Research – A Guide with Examples

Published by Alvin Nicolas at August 16th, 2021 , Revised On August 29, 2023

Introduction

Primary research or secondary research? How do you decide which is best for your dissertation paper?

As researchers, we need to be aware of the pros and cons of the two types of research methods to make sure their selected research method is the most appropriate, taking into account the topic of investigation .

The success of any dissertation paper largely depends on  choosing the correct research design . Before you can decide whether you must base your  research strategy  on primary or secondary research; it is important to understand the difference between primary resources and secondary resources.

What is the Difference between Primary Sources and Secondary Sources?

What are primary sources.

According to UCL libraries, primary sources are articles, images, or documents that provide direct evidence or first-hand testimony about any given research topic.

Is it important that we have a clear understanding of the information resulting from actions under investigation ? Primary sources allow us to get close to those events to recognise their analysis and interpretation in scientific and academic communities.

Examples of Primary Sources

Classic examples of primary sources include;

• Original documents are prepared by the researcher investigating any given topic of research.
• Reporters witnessing an event and reporting news.
• Conducting surveys to collect data , such as primary elections and population census.
• Interviews , speeches, letters, and diaries – what the participants wrote or said during data collection.
• Audio, video, and image files were created to capture an event

What are Secondary Sources?

However, when the researcher wishes to analyse and understand information coming out of events or actions that have already occurred, their work is regarded as a secondary source.

In essence, no secondary source can be created without using primary sources. The same information source or evidence can be considered either primary or secondary, depending on who is presenting the information and where the information is presented.

Examples of Secondary Sources

Some examples of secondary sources are;

• Documentaries (Even though the images, videos, and audio are seen as primary sources by the developer of the documentary)
• Articles, publications, journals, and research documents are created by those not directly involved in the research.
• Dissertations , thesis, and essays .
• Critical reviews.
• Books presented as evidence.

Need help with getting started with your dissertation paper? Here is a comprehensive article on “ How to write a dissertation – Step by step guide “.

What Type of Research you Should Base your Dissertation on – Primary or Secondary?

Below you will find detailed guidelines to help you make an informed decision if you have been thinking of the question “Should I use primary or secondary research in my dissertation”.

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Primary Research

Primary research includes an exhaustive  analysis of data  to answer  research questions  that are specific and exploratory in nature.

Primary research methods with examples include the use of various primary research tools such as interviews,  research surveys , numerical data, observations, audio, video, and images to collect data directly rather than using existing literature.

Business organisations throughout the world have their employees or an external research agency conduct primary research on their behalf to address certain issues. On the other hand, undergraduate and postgraduate students conduct primary research as part of their dissertation projects  to fill an obvious research gap in their respective fields of study.

As indicated above, primary data can be collected in a number of ways, and so we have also  conducted in-depth research on the most common yet independent primary data collection techniques .

Sampling in Primary Research

When conducting primary research, it is vitally important to pay attention to the chosen  sampling method  which can be described as “ a specific principle used to select members of the population to participate in the research ”.

Oftentimes, the researcher might not be able to directly work with the targeted population because of its large size, and so it becomes indispensable to employ statistical sampling techniques where the researchers have no choice but to draw conclusions based on responses collected from the representative population.

The process of sampling in primary data collection includes the following five steps;

• Identifying the target population.
• Selecting an appropriate sampling frame.
• Determining the sampling size.
• Choosing a sampling method .
• Practical application of the selected sampling technique.

The researcher can gather responses when conducting primary research, but nonverbal communication and gestures play a considerable role. They help the researcher identify the various hidden elements which cannot be identified when conducting the secondary research.

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Reasons Why you Should Use Primary Research

• As stated previously, the most prominent advantage of primary research over secondary research is that the researcher is able to directly collect the data from the respondents which makes the data more authentic and reliable.
• Primary research has room for customisation based on the personal requirements and/or limitations of the researcher.
• Primary research allows for a comprehensive analysis of the subject matter to address the problem at hand .
• The researcher will have the luxury to decide how to collect and use the data, which means that they will be able to make use of the data in whatever way deemed fit to them to gain meaningful insights.
• The results obtained from primary research are recognised as credible throughout academic and scientific communities.

Reasons Why you Should not Use Primary Research

• If you are considering primary research for your dissertation , you need to be aware of the high costs involved in the process of gathering primary data. Undergraduate and Masters’ students often do not have the financial resources to fund their own research work. Ph.D. students, on the other hand, are awarded a very limited research budget to work with. Thus, if you are on a low or limited budget, conducting primary research might not be the most suitable option.
• Primary research can be extremely time-consuming. Getting your target population to participate in online surveys and face-to-face or telephonic interviews requires patience and a lot of time. This is especially important for undergraduate and Masters’ students who are required to complete and submit their work within a certain timeframe.
• Primary research is well recognised only when it makes use of several methods of data collection . Having just one primary research method will undermine your research. Using more than one method of data collection will mean that you need more time and financial resources.
• There might be participants who wouldn’t be willing to disclose their information, thus this aspect is crucial and should be looked into carefully.

One important aspect of primary research that researchers should look into is research ethics. Keeping participants’ information confidential is a research responsibility that should never be overlooked.

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Secondary Research

Secondary research or desk-based research is the second type of research you could base your  research methodology in a dissertation  on. This type of research reviews and analyses existing research studies to improve the overall authenticity of the research.

Secondary research methods include the use of secondary sources of information including journal articles, published reports, public libraries, books, data available on the internet, government publications, and results from primary research studies conducted by other researchers in the past.

Unlike primary research, secondary research is cost-effective and less time-consuming simply because it uses existing literature and doesn’t require the researcher to spend time and financial resources to collect first-hand data.

Not all researchers and/or business organisations are able to afford a significant amount of money towards research, and that’s one of the reasons this type of research is the most popular in universities and organisations.

The Steps for Conducting Secondary Research

Secondary research involves the following five steps;

• Establishing the topic of research and setting up the research questions to be answered or the research hypothesis to be tested.
• Identifying authentic and reliable sources of information.
• Gather data relevant to the topic of research from various secondary sources such as books, journal articles, government publications, commercial sector reports.
• Combining the data in a suitable format so you can gain meaningful insights.
• Analysing the data to find a solution to a problem in hand

Reasons Why you Should Use Secondary Research

• Secondary sources are readily available with researchers facing little to no difficulty in accessing secondary data. Unlike primary data that involves a lengthy and complex process, secondary data can be collected by the researcher through a number of existing sources without having to leave the comfort of the desk.
• Secondary research is a simple process, and therefore the cost associated with it is almost negligible.

Reasons Why you Should Not Use Secondary Research

• Finding authentic and credible sources of secondary data is nothing less than a challenge. The internet these days is full of fake information, so it is important to exercise precaution when selecting and evaluating the available information.
• Secondary sources may not provide accurate and/or up-to-date numbers, so your research could be diluted if you are not including accurate statistics from recent timelines.
• Secondary research, in essence, is dependent on primary research and stems its findings from sets of primary data. The reliability of secondary research will, to a certain degree, depends on the quality of primary data used.

If you aren’t sure about the correct method of research for your dissertation paper, you should get help from an expert who can guide on whether you should use Primary or Secondary Research for your dissertation paper.

The Steps Involved in Writing a Dissertation 

Key Differences between Primary and Secondary Research

Should i use primary or secondary research for my dissertation paper – conclusion.

When choosing between primary and secondary research, you should always take into consideration the advantages and disadvantages of both types of research so you make an informed decision.

The best way to select the correct research strategy  for your dissertation is to look into your research topic,  research questions , aim and objectives – and of course the available time and financial resources.

Discussion pertaining to the two research techniques clearly indicates that primary research should be chosen when a specific topic, a case, organisation, etc. is to be researched about and the researcher has access to some financial resources.

Whereas secondary research should be considered when the research is general in nature and can be answered by analysing past researches and published data.

Not sure which research strategy you should apply,  get in touch with us right away . At ResearchProspect, we have Masters and Ph.D. qualified writers in all academic subjects so you can be confident of having your research; completed to the highest academic standard and well-recognised in the academic world.

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Frequently Asked Questions

What is the difference between primary vs secondary research.

Primary research involves collecting firsthand data from sources like surveys or interviews. Secondary research involves analyzing existing data, such as articles or reports. Primary is original data gathering, while secondary relies on existing information.

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Sampling methods are used to to draw valid conclusions about a large community, organization or group of people, but they are based on evidence and reasoning.

This article provides the key advantages of primary research over secondary research so you can make an informed decision.

This post provides the key disadvantages of secondary research so you know the limitations of secondary research before making a decision.

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Dissertation Question Examples

What are the Advantages & Disadvantages of Secondary Research?

Any project must go through the research process in order to gather specific information. Primary research is firsthand information, but on the other hand, secondary research acts as a guiding light, illuminating uncharted territories of knowledge. Like a beacon in the storm, it enables researchers to navigate the vast seas of information, tapping into existing resources to fuel their intellectual pursuits.

You can also view our following links:

Primary Research Methods: A Beginner's Guide

A Complete Guide: How to Write a Research Design

In this article, we will explore various types and examples of secondary research to inspire and guide aspiring researchers in formulating their own research queries.

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What is secondary research.

To define secondary research is the method of gathering and analysing existing data, information, and resources that others have already collected. It involves reviewing and synthesising the work of other researchers, scholars, experts, and organisations to gain insights, draw conclusions, or support a particular research objective.

How to Conduct Secondary Research

Secondary research is a valuable tool for gathering information from existing sources. To conduct effective secondary research, follow these steps for research. By following these steps, the researcher navigates the process of conducting secondary research efficiently and effectively, contributing to the existing body of knowledge and advancing your understanding of the research topic.

• Define Research Objectives

 Clearly identify your research topic, questions, and objectives to ensure focused and relevant exploration.

• Identify Relevant Sources

 Determine the most appropriate sources for your research, such as academic journals, books, databases, government reports, or reputable websites.

• Conduct Literature Review

Review existing literature to comprehensively understand the topic, identify key theories, concepts, and gaps in knowledge.

• Collect Data

 Extract relevant data from sources using methods like note-taking, summarizing, or using citation management tools for organized data collection.

• Analyze and Interpret Data

Analyze the collected data using qualitative or quantitative techniques to draw meaningful insights and identify patterns or trends.

• Compare and Synthesize Findings

Compare and synthesize the findings from different sources to identify commonalities, discrepancies, or emerging themes.

• Evaluate Source Credibility

Assess the credibility and reliability of the sources by considering factors like author expertise, publication reputation, and data quality.

• Document and Cite Sources

Properly document all sources used in your research and ensure accurate citation to maintain academic integrity and avoid plagiarism.

• Draw Conclusions and Recommendations

 Based on the analysis of secondary data, draw informed conclusions and provide recommendations for further research or practical applications.

• Communicate Findings

 Present your findings in a clear and organized manner through research reports, presentations, or academic papers.

Types of Secondary Research 

Secondary research, also known as desk research, refers to the process of gathering and analyzing existing data and information collected by others. It involves utilizing pre-existing sources to explore a specific topic or research question. Here are some common types with secondary research examples:

• Literature Reviews

For secondary research collecting data via literature review that are existing scholarly articles, books, and publications related to the research topic. A literature review is a great way to evaluate the state of the research and demonstrates familiarity with the scholarly debates around the subject.

For example;

If your research interest lies in understanding the reactions of campus police to student protest movements on campus, conducting a comprehensive literature review can provide valuable insights. By examining scholarly works spanning the past century that discuss student protest movements, you can gain a broader understanding of the topic and identify recurring themes or patterns.

• Case Studies

Examining previously conducted case studies to gain insights into specific situations, variables, and outcomes. When researching a difficult case study , you can decide whether to analyse only one instance in great detail if you'd want to compare various facets of your issue. 

For Example;

Suppose you wish to explore the acclimatization process of formerly incarcerated individuals. Analyze their experiences and narratives to develop a detailed case study of their reintegration into society.

• Content Analysis

Analysing and interpreting existing content, such as media articles, social media posts, and online discussions, to gain insights into public opinion, trends, and sentiment. Depending on whether you want to analyse countable or quantifiable patterns or more interpretive ones, it is either quantitative or qualitative in nature.

 If your focus is on the frequency of employment issues in political campaigns during the Great Depression, you can employ content analysis techniques. 

• Comparative Studies

Comparing and contrasting existing research studies and findings to identify commonalities, differences, and gaps in knowledge.

Comparing the impact of traditional lecture-based teaching and student-centered interactive learning on student learning outcomes.

The secondary research definition provides a valuable foundation for academic inquiry, offering a wealth of existing knowledge to build upon and contribute to the scholarly discourse. By leveraging these various types of secondary research, students can gain a comprehensive understanding of their chosen subjects and enhance their own research endeavours.

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Importance of Conducting Secondary Research

While it may not always be necessary to conduct secondary research for the research project. It is highly beneficial and often recommended in academic and research contexts. Here are a few reasons why secondary research is valuable:

• Enhancing Knowledge

 Secondary research allows you to tap into existing knowledge and gain a deeper understanding of a subject. By reviewing relevant literature, data, and information collected by others, you build upon existing theories, concepts, and findings.

• Time and Cost Efficiency

 Conducting primary research, which involves data collection from scratch, be time-consuming and resource-intensive. Secondary research offers a more efficient alternative by utilising pre-existing data and information, saving you time and reducing costs.

• Access to a Wide Range of Sources

Secondary research enables you to explore a vast array of sources, including academic journals, books, reports, and databases. This wide range of materials allows for a comprehensive and diverse exploration of your research topic.

• Validation and Verification

Secondary research allows you to validate and verify your own findings and arguments. By referencing established studies and scholarly work, you strengthen the credibility and reliability of your research.

• Identifying Research Gaps

Secondary research helps you identify gaps in existing knowledge or areas where further investigation is needed. By examining previous studies, you uncover unanswered questions or areas that require additional research, which contribute to the advancement of your field.

• Ethical Considerations

Conducting secondary research promotes ethical research practices, as it involves using already available data and respecting intellectual property rights. By properly citing and attributing sources, you demonstrate academic integrity and avoid plagiarism.

A primary research question may provide unique insights and data, but secondary research provides a broader context and a foundation to build on in support of primary research. By incorporating both primary and secondary research, you create a more comprehensive and well-rounded study.

Final Extraction

To cut it short, secondary research is a significant part of research writing. It refers to the secondary sources of data collection for research work. It includes literature reviews, case studies, comparative analysis of the available sources of information as compared to first hand or primary research. Time effectiveness and cost efficiency are some of its many benefits. This piece of writing has provided an essential information on how to conduct secondary research. 

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Understanding research and critical appraisal

• Introduction

What is secondary research?

Secondary research study designs.

• Primary research
• Critical appraisal of research papers
• Useful terminology
• Further reading and helpful resources

The aim of secondary research is to produce a more or less systematic appraisal and/or synthesis of the existing primary research on a topic. There are numerous types of reviews which aim to summarise or synthesise the evidence on a topic, but here we will focus on two: meta-analyses and systematic reviews.

For a fuller discussion of the range of review types, their features and uses, see: Sutton, A. et al . (2019) 'Meeting the review family: exploring review types and associated information retrieval requirements', Health Information and Libraries Journal , 36 (3), pp. 202-222.  doi:10.1111/hir.12276

Meta-analysis

A meta-analysis is a statistical synthesis of the results from multiple individual studies, usually randomised controlled trials (RCTs),

Carrying out a meta-analysis of studies allows results from multiple studies looking at the effect of an intervention to be combined, allowing for greater precision in the estimation of effects, and clarity over the direction and size of an effect. A meta-analysis can provide more conclusive evidence for or against the effectiveness of an intervention than individual studies alone.

A good meta-analysis should always be based on a systematic review of studies, and requires some homogeneity of participants, settings, interventions and outcome measures in the studies included.

Systematic review

A systematic review is not simply a literature review. A systematic review is a study which aims to synthesise all of the available primary research on a specific topic. The first step in a systematic review is a thorough search of all appropriate sources, including subject related databases, clinical trial registers and grey literature, in order to identify all of the relevant evidence. These searches should ideally be carried out by a librarian or information specialist in the field, or by others with a similar level of expertise. The systematic review itself should be carried out by two or more researchers, as a means of reducing possible bias.

All identified studies are screened for inclusion or exclusion according to strict criteria set out at the start of the study, and the data from those studies selected for inclusion is analysed and synthesised. Part of this process is an attempt to identify any potential source of bias in existing findings. A systematic review will offer a summary of the available research findings, and offer conclusions on the basis of these, taking into account any flaws or limitations in the original studies.

A systematic review can offer more generalisability and consistency of research findings than the individual studies on which it is based.

Systematic reviews may employ quantitative, qualitative (experiential), or mixed-methods approaches.

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Research Methods

Secondary research.

• Primary Research

What is Secondary Research?

Advantages and disadvantages of secondary research, secondary research in literature reviews, secondary research - going beyond literature reviews, main stages of secondary research, useful resources, using material on this page.

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Secondary research

Secondary research uses research and data that has already been carried out. It is sometimes referred to as desk research. It is a good starting point for any type of research as it enables you to analyse what research has already been undertaken and identify any gaps. 

You may only need to carry out secondary research for your assessment or you may need to use secondary research as a starting point, before undertaking your own primary research .

Searching for both primary and secondary sources can help to ensure that you are up to date with what research has already been carried out in your area of interest and to identify the key researchers in the field.

"Secondary sources are the books, articles, papers and similar materials written or produced by others that help you to form your background understanding of the subject. You would use these to find out about experts’ findings, analyses or perspectives on the issue and decide whether to draw upon these explicitly in your research." (Cottrell, 2014, p. 123).

Examples of secondary research sources include:.

• journal articles
• official statistics, such as government reports or organisations which have collected and published data

Primary research  involves gathering data which has not been collected before. Methods to collect it can include interviews, focus groups, controlled trials and case studies. Secondary research often comments on and analyses this primary research.

Gopalakrishnan and Ganeshkumar (2013, p. 10) explain the difference between primary and secondary research:

"Primary research is collecting data directly from patients or population, while secondary research is the analysis of data already collected through primary research. A review is an article that summarizes a number of primary studies and may draw conclusions on the topic of interest which can be traditional (unsystematic) or systematic".

Secondary Data

As secondary data has already been collected by someone else for their research purposes, it may not cover all of the areas of interest for your research topic. This research will need to be analysed alongside other research sources and data in the same subject area in order to confirm, dispute or discuss the findings in a wider context.

"Secondary source data, as the name infers, provides second-hand information. The data come ‘pre-packaged’, their form and content reflecting the fact that they have been produced by someone other than the researcher and will not have been produced specifically for the purpose of the research project. The data, none the less, will have some relevance for the research in terms of the information they contain, and the task for the researcher is to extract that information and re-use it in the context of his/her own research project." (Denscombe, 2021, p. 268)

In the video below Dr. Benedict Wheeler (Senior Research Fellow at the European Center for Environment and Human Health at the University of Exeter Medical School) discusses secondary data analysis. Secondary data was used for his research on how the environment affects health and well-being and utilising this secondary data gave access to a larger data set.

As with all research, an important part of the process is to critically evaluate any sources you use. There are tools to help with this in the  Being Critical  section of the guide.

Louise Corti, from the UK Data Archive, discusses using secondary data  in the video below. T he importance of evaluating secondary research is discussed - this is to ensure the data is appropriate for your research and to investigate how the data was collected.

There are advantages and disadvantages to secondary research:

Advantages:

• Usually low cost
• Easily accessible
• Provides background information to clarify / refine research areas
• Increases breadth of knowledge
• Shows different examples of research methods
• Can highlight gaps in the research and potentially outline areas of difficulty
• Can incorporate a wide range of data
• Allows you to identify opposing views and supporting arguments for your research topic
• Highlights the key researchers and work which is being undertaken within the subject area
• Helps to put your research topic into perspective

Disadvantages

• Can be out of date
• Might be unreliable if it is not clear where or how the research has been collected - remember to think critically
• May not be applicable to your specific research question as the aims will have had a different focus

Literature reviews 

Secondary research for your major project may take the form of a literature review . this is where you will outline the main research which has already been written on your topic. this might include theories and concepts connected with your topic and it should also look to see if there are any gaps in the research., as the criteria and guidance will differ for each school, it is important that you check the guidance which you have been given for your assessment. this may be in blackboard and you can also check with your supervisor..

The videos below include some insights from academics regarding the importance of literature reviews.

Secondary research which goes beyond literature reviews

For some dissertations/major projects there might only be a literature review (discussed above ). For others there could be a literature review followed by primary research and for others the literature review might be followed by further secondary research. 

You may be asked to write a literature review which will form a background chapter to give context to your project and provide the necessary history for the research topic. However, you may then also be expected to produce the rest of your project using additional secondary research methods, which will need to produce results and findings which are distinct from the background chapter t o avoid repetition .

Remember, as the criteria and guidance will differ for each School, it is important that you check the guidance which you have been given for your assessment. This may be in Blackboard and you can also check with your supervisor.

Although this type of secondary research will go beyond a literature review, it will still rely on research which has already been undertaken. And,  "just as in primary research, secondary research designs can be either quantitative, qualitative, or a mixture of both strategies of inquiry" (Manu and Akotia, 2021, p. 4) .

Your secondary research may use the literature review to focus on a specific theme, which is then discussed further in the main project. Or it may use an alternative approach. Some examples are included below.  Remember to speak with your supervisor if you are struggling to define these areas.

Some approaches of how to conduct secondary research include:

• A systematic review is a structured literature review that involves identifying all of the relevant primary research using a rigorous search strategy to answer a focused research question.
• This involves comprehensive searching which is used to identify themes or concepts across a number of relevant studies. 
• The review will assess the q uality of the research and provide a summary and synthesis of all relevant available research on the topic.
• The systematic review  LibGuide goes into more detail about this process (The guide is aimed a PhD/Researcher students. However, students on other levels of study may find parts of the guide helpful too).
• Scoping reviews aim to identify and assess available research on a specific topic (which can include ongoing research). 
• They are "particularly useful when a body of literature has not yet been comprehensively reviewed, or exhibits a complex or heterogeneous nature not amenable to a more precise systematic review of the evidence. While scoping reviews may be conducted to determine the value and probable scope of a full systematic review, they may also be undertaken as exercises in and of themselves to summarize and disseminate research findings, to identify research gaps, and to make recommendations for the future research."  (Peters et al., 2015) .
• This is designed to  summarise the current knowledge and provide priorities for future research.
• "A state-of-the-art review will often highlight new ideas or gaps in research with no official quality assessment." (Baguss, 2020) .
• "Bibliometric analysis is a popular and rigorous method for exploring and analyzing large volumes of scientific data." (Donthu et al., 2021)
• Quantitative methods and statistics are used to analyse the bibliographic data of published literature. This can be used to measure the impact of authors, publications, or topics within a subject area.

The bibliometric analysis often uses the data from a citation source such as Scopus or Web of Science .

• This is a technique used to combine the statistic results of prior quantitative studies in order to increase precision and validity.
• "It goes beyond the parameters of a literature review, which assesses existing literature, to actually perform calculations based on the results collated, thereby coming up with new results" (Curtis and Curtis, 2011, p. 220)

(Adapted from: Grant and Booth, 2009, cited in Sarhan and Manu, 2021, p. 72 )

• Grounded Theory is used to create explanatory theory from data which has been collected.
• "Grounded theory data analysis strategies can be used with different types of data, including secondary data." ( Whiteside, Mills and McCalman, 2012 )
• This allows you to use a specific theory or theories which can then be applied to your chosen topic/research area.
• You could focus on one case study which is analysed in depth, or you could examine more than one in order to compare and contrast the important aspects of your research question.
• "Good case studies often begin with a predicament that is poorly comprehended and is inadequately explained or traditionally rationalised by numerous conflicting accounts. Therefore, the aim is to comprehend an existent problem and to use the acquired understandings to develop new theoretical outlooks or explanations."  ( Papachroni and Lochrie, 2015, p. 81 )

Main stages of secondary research for a dissertation/major project

In general, the main stages for conducting secondary research for your dissertation or major project will include:

Click on the image below to access the reading list which includes resources used in this guide as well as some additional useful resources.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License .

• << Previous: Primary Research
• Next: Quantitative Research >>
• Last Updated: Aug 11, 2022 3:41 PM
• URL: https://libguides.tees.ac.uk/researchmethods

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Secondary research: definition, methods, & examples.

19 min read This ultimate guide to secondary research helps you understand changes in market trends, customers buying patterns and your competition using existing data sources.

In situations where you’re not involved in the data gathering process ( primary research ), you have to rely on existing information and data to arrive at specific research conclusions or outcomes. This approach is known as secondary research.

In this article, we’re going to explain what secondary research is, how it works, and share some examples of it in practice.

Free eBook: The ultimate guide to conducting market research

What is secondary research?

Secondary research, also known as desk research, is a research method that involves compiling existing data sourced from a variety of channels . This includes internal sources (e.g.in-house research) or, more commonly, external sources (such as government statistics, organizational bodies, and the internet).

Secondary research comes in several formats, such as published datasets, reports, and survey responses , and can also be sourced from websites, libraries, and museums.

The information is usually free — or available at a limited access cost — and gathered using surveys , telephone interviews, observation, face-to-face interviews, and more.

When using secondary research, researchers collect, verify, analyze and incorporate it to help them confirm research goals for the research period.

As well as the above, it can be used to review previous research into an area of interest. Researchers can look for patterns across data spanning several years and identify trends — or use it to verify early hypothesis statements and establish whether it’s worth continuing research into a prospective area.

How to conduct secondary research

There are five key steps to conducting secondary research effectively and efficiently:

1.    Identify and define the research topic

First, understand what you will be researching and define the topic by thinking about the research questions you want to be answered.

Ask yourself: What is the point of conducting this research? Then, ask: What do we want to achieve?

This may indicate an exploratory reason (why something happened) or confirm a hypothesis. The answers may indicate ideas that need primary or secondary research (or a combination) to investigate them.

2.    Find research and existing data sources

If secondary research is needed, think about where you might find the information. This helps you narrow down your secondary sources to those that help you answer your questions. What keywords do you need to use?

Which organizations are closely working on this topic already? Are there any competitors that you need to be aware of?

Create a list of the data sources, information, and people that could help you with your work.

3.    Begin searching and collecting the existing data

Now that you have the list of data sources, start accessing the data and collect the information into an organized system. This may mean you start setting up research journal accounts or making telephone calls to book meetings with third-party research teams to verify the details around data results.

As you search and access information, remember to check the data’s date, the credibility of the source, the relevance of the material to your research topic, and the methodology used by the third-party researchers. Start small and as you gain results, investigate further in the areas that help your research’s aims.

4.    Combine the data and compare the results

When you have your data in one place, you need to understand, filter, order, and combine it intelligently. Data may come in different formats where some data could be unusable, while other information may need to be deleted.

After this, you can start to look at different data sets to see what they tell you. You may find that you need to compare the same datasets over different periods for changes over time or compare different datasets to notice overlaps or trends. Ask yourself: What does this data mean to my research? Does it help or hinder my research?

5.    Analyze your data and explore further

In this last stage of the process, look at the information you have and ask yourself if this answers your original questions for your research. Are there any gaps? Do you understand the information you’ve found? If you feel there is more to cover, repeat the steps and delve deeper into the topic so that you can get all the information you need.

If secondary research can’t provide these answers, consider supplementing your results with data gained from primary research. As you explore further, add to your knowledge and update your findings. This will help you present clear, credible information.

Primary vs secondary research

Unlike secondary research, primary research involves creating data first-hand by directly working with interviewees, target users, or a target market. Primary research focuses on the method for carrying out research, asking questions, and collecting data using approaches such as:

• Interviews (panel, face-to-face or over the phone)
• Questionnaires or surveys
• Focus groups

Using these methods, researchers can get in-depth, targeted responses to questions, making results more accurate and specific to their research goals. However, it does take time to do and administer.

Unlike primary research, secondary research uses existing data, which also includes published results from primary research. Researchers summarize the existing research and use the results to support their research goals.

Both primary and secondary research have their places. Primary research can support the findings found through secondary research (and fill knowledge gaps), while secondary research can be a starting point for further primary research. Because of this, these research methods are often combined for optimal research results that are accurate at both the micro and macro level.

Sources of Secondary Research

There are two types of secondary research sources: internal and external. Internal data refers to in-house data that can be gathered from the researcher’s organization. External data refers to data published outside of and not owned by the researcher’s organization.

Internal data

Internal data is a good first port of call for insights and knowledge, as you may already have relevant information stored in your systems. Because you own this information — and it won’t be available to other researchers — it can give you a competitive edge . Examples of internal data include:

• Database information on sales history and business goal conversions
• Information from website applications and mobile site data
• Customer-generated data on product and service efficiency and use
• Previous research results or supplemental research areas
• Previous campaign results

External data

External data is useful when you: 1) need information on a new topic, 2) want to fill in gaps in your knowledge, or 3) want data that breaks down a population or market for trend and pattern analysis. Examples of external data include:

• Government, non-government agencies, and trade body statistics
• Company reports and research
• Competitor research
• Public library collections
• Textbooks and research journals
• Media stories in newspapers
• Online journals and research sites

Three examples of secondary research methods in action

How and why might you conduct secondary research? Let’s look at a few examples:

1.    Collecting factual information from the internet on a specific topic or market

There are plenty of sites that hold data for people to view and use in their research. For example, Google Scholar, ResearchGate, or Wiley Online Library all provide previous research on a particular topic. Researchers can create free accounts and use the search facilities to look into a topic by keyword, before following the instructions to download or export results for further analysis.

This can be useful for exploring a new market that your organization wants to consider entering. For instance, by viewing the U.S Census Bureau demographic data for that area, you can see what the demographics of your target audience are , and create compelling marketing campaigns accordingly.

2.    Finding out the views of your target audience on a particular topic

If you’re interested in seeing the historical views on a particular topic, for example, attitudes to women’s rights in the US, you can turn to secondary sources.

Textbooks, news articles, reviews, and journal entries can all provide qualitative reports and interviews covering how people discussed women’s rights. There may be multimedia elements like video or documented posters of propaganda showing biased language usage.

By gathering this information, synthesizing it, and evaluating the language, who created it and when it was shared, you can create a timeline of how a topic was discussed over time.

3.    When you want to know the latest thinking on a topic

Educational institutions, such as schools and colleges, create a lot of research-based reports on younger audiences or their academic specialisms. Dissertations from students also can be submitted to research journals, making these places useful places to see the latest insights from a new generation of academics.

Information can be requested — and sometimes academic institutions may want to collaborate and conduct research on your behalf. This can provide key primary data in areas that you want to research, as well as secondary data sources for your research.

Advantages of secondary research

There are several benefits of using secondary research, which we’ve outlined below:

• Easily and readily available data – There is an abundance of readily accessible data sources that have been pre-collected for use, in person at local libraries and online using the internet. This data is usually sorted by filters or can be exported into spreadsheet format, meaning that little technical expertise is needed to access and use the data.
• Faster research speeds – Since the data is already published and in the public arena, you don’t need to collect this information through primary research. This can make the research easier to do and faster, as you can get started with the data quickly.
• Low financial and time costs – Most secondary data sources can be accessed for free or at a small cost to the researcher, so the overall research costs are kept low. In addition, by saving on preliminary research, the time costs for the researcher are kept down as well.
• Secondary data can drive additional research actions – The insights gained can support future research activities (like conducting a follow-up survey or specifying future detailed research topics) or help add value to these activities.
• Secondary data can be useful pre-research insights – Secondary source data can provide pre-research insights and information on effects that can help resolve whether research should be conducted. It can also help highlight knowledge gaps, so subsequent research can consider this.
• Ability to scale up results – Secondary sources can include large datasets (like Census data results across several states) so research results can be scaled up quickly using large secondary data sources.

Disadvantages of secondary research

The disadvantages of secondary research are worth considering in advance of conducting research :

• Secondary research data can be out of date – Secondary sources can be updated regularly, but if you’re exploring the data between two updates, the data can be out of date. Researchers will need to consider whether the data available provides the right research coverage dates, so that insights are accurate and timely, or if the data needs to be updated. Also, fast-moving markets may find secondary data expires very quickly.
• Secondary research needs to be verified and interpreted – Where there’s a lot of data from one source, a researcher needs to review and analyze it. The data may need to be verified against other data sets or your hypotheses for accuracy and to ensure you’re using the right data for your research.
• The researcher has had no control over the secondary research – As the researcher has not been involved in the secondary research, invalid data can affect the results. It’s therefore vital that the methodology and controls are closely reviewed so that the data is collected in a systematic and error-free way.
• Secondary research data is not exclusive – As data sets are commonly available, there is no exclusivity and many researchers can use the same data. This can be problematic where researchers want to have exclusive rights over the research results and risk duplication of research in the future.

When do we conduct secondary research?

Now that you know the basics of secondary research, when do researchers normally conduct secondary research?

It’s often used at the beginning of research, when the researcher is trying to understand the current landscape . In addition, if the research area is new to the researcher, it can form crucial background context to help them understand what information exists already. This can plug knowledge gaps, supplement the researcher’s own learning or add to the research.

Secondary research can also be used in conjunction with primary research. Secondary research can become the formative research that helps pinpoint where further primary research is needed to find out specific information. It can also support or verify the findings from primary research.

You can use secondary research where high levels of control aren’t needed by the researcher, but a lot of knowledge on a topic is required from different angles.

Secondary research should not be used in place of primary research as both are very different and are used for various circumstances.

Questions to ask before conducting secondary research

Before you start your secondary research, ask yourself these questions:

• Is there similar internal data that we have created for a similar area in the past?

If your organization has past research, it’s best to review this work before starting a new project. The older work may provide you with the answers, and give you a starting dataset and context of how your organization approached the research before. However, be mindful that the work is probably out of date and view it with that note in mind. Read through and look for where this helps your research goals or where more work is needed.

• What am I trying to achieve with this research?

When you have clear goals, and understand what you need to achieve, you can look for the perfect type of secondary or primary research to support the aims. Different secondary research data will provide you with different information – for example, looking at news stories to tell you a breakdown of your market’s buying patterns won’t be as useful as internal or external data e-commerce and sales data sources.

• How credible will my research be?

If you are looking for credibility, you want to consider how accurate the research results will need to be, and if you can sacrifice credibility for speed by using secondary sources to get you started. Bear in mind which sources you choose — low-credibility data sites, like political party websites that are highly biased to favor their own party, would skew your results.

• What is the date of the secondary research?

When you’re looking to conduct research, you want the results to be as useful as possible , so using data that is 10 years old won’t be as accurate as using data that was created a year ago. Since a lot can change in a few years, note the date of your research and look for earlier data sets that can tell you a more recent picture of results. One caveat to this is using data collected over a long-term period for comparisons with earlier periods, which can tell you about the rate and direction of change.

• Can the data sources be verified? Does the information you have check out?

If you can’t verify the data by looking at the research methodology, speaking to the original team or cross-checking the facts with other research, it could be hard to be sure that the data is accurate. Think about whether you can use another source, or if it’s worth doing some supplementary primary research to replicate and verify results to help with this issue.

We created a front-to-back guide on conducting market research, The ultimate guide to conducting market research , so you can understand the research journey with confidence.

In it, you’ll learn more about:

• What effective market research looks like
• The use cases for market research
• The most important steps to conducting market research
• And how to take action on your research findings

Download the free guide for a clearer view on secondary research and other key research types for your business.

Related resources

Market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, qualitative vs quantitative research 13 min read, qualitative research questions 11 min read, qualitative research design 12 min read, primary vs secondary research 14 min read, request demo.

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Library Guides

Dissertations 4: methodology: methods.

• Introduction & Philosophy
• Methodology

Primary & Secondary Sources, Primary & Secondary Data

When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.  

Definitions  

There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:  

Secondary sources 

Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.  

Primary sources 

Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123). 

Primary data 

Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316). 

Secondary data 

Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).   

Comparison between primary and secondary data   

Use  

Virtually all research will use secondary sources, at least as background information. 

Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'. 

The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.    

Ultimately, you should state in this section of the methodology: 

What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis. 

If using primary data, why you employed certain strategies to collect them. 

What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature). 

Quantitative, Qualitative & Mixed Methods

The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages. 

Quantitative research 

Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496). 

Qualitative research  

Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs.  

Mixed methods 

Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years.  

When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138). 

Ultimately, your methodology chapter should state: 

Whether you used quantitative research, qualitative research or mixed methods. 

Why you chose such methods (and refer to research method sources). 

Why you rejected other methods. 

How well the method served your research. 

The problems or limitations you encountered. 

Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:

LinkedIn Learning Video on Academic Research Foundations: Quantitative

The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.

Link to quantitative research video

Some Types of Methods

There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis. 

Whatever methods you will use, you will need to consider: 

why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose? 

what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?) 

ethical considerations (see also tab...)  

safety considerations  

validity  

feasibility  

recording  

procedure of the research (see box procedural method...).  

Check Stella Cottrell's book  Dissertations and Project Reports: A Step by Step Guide  for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.  

Experiments 

Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations. 

For more information on Scientific Method, click here . 

Observations 

Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.  

Questionnaires and surveys 

Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements. 

Interviews  

Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142). 

This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods. 

Focus groups   

In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views. 

This video focuses on strategies for conducting research using focus groups.  

Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box. 

Case study 

Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.     

Content analysis 

Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.

Extra links and resources:  

Research Methods  

A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection. 

Doing your dissertation during the COVID-19 pandemic  

Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts; 

• Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication. 

Case Study Research

Research Ethics

Quantitative Content Analysis 

Sequential Analysis 

Qualitative Content Analysis 

Thematic Analysis 

Social Media Research 

Mixed Method Research 

Procedural Method

In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!). 

Include specifics about participants, sample, materials, design and methods. 

If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.  

Describe all materials used for the study, including equipment, written materials and testing instruments. 

Identify the study's design and any variables or controls employed. 

Write out the steps in the order that they were completed. 

Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected. 

Specify statistical techniques applied to the data to reach your conclusions. 

Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design. 

Highlight any drawbacks that may have limited your ability to conduct your research thoroughly. 

You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research. 

Bibliography

Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.

Lombard, E. (2010). Primary and secondary sources.  The Journal of Academic Librarianship , 36(3), 250-253

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015).  Research Methods for Business Students.  New York: Pearson Education. 

Specht, D. (2019).  The Media And Communications Study Skills Student Guide . London: University of Westminster Press.  

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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on 25 February 2019 by Shona McCombes . Revised on 10 October 2022.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research.

It should include:

• The type of research you conducted
• How you collected and analysed your data
• Any tools or materials you used in the research
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalisable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalised your concepts and measured your variables. Discuss your sampling method or inclusion/exclusion criteria, as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on 4–8 July 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyse?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness shop’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods here.

Next, you should indicate how you processed and analysed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analysing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorising and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviours, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalised beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalisable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives  and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

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PhD Assistance

A comprehensive guide to desk-based research: unlocking secondary data sources.

Introduction

What is Desk-based research?

Desk research is a type of study based on material published in reports and similar materials available in public libraries, websites, data acquired from previously conducted surveys, and so on. Some businesses also keep data that can be utilized for the study. It is a research approach that uses already secondary data collection methods . These are gathered and summarized to improve the investigation’s overall efficacy.

Desk-based research, also known as secondary research, involves utilizing existing sources of information to gather data for your PhD thesis . This type of research can be a valuable complement to primary research, as it allows you to explore existing knowledge, gain insights, and support or refute existing theories.

Desk-based research examples:

Desk research is a popular alternative for businesses and organizations since it is a low-cost approach. Not everyone can afford to pay significant amounts of money to research design and gather data. That is why it is also known as “documentary research.”

Here’s a comprehensive guide to conducting desk-based research and unlocking secondary data sources for your PhD thesis:

• Refine your research questions : Clearly define your research questions or objectives. This will help you focus your desk-based research efforts and identify the specific types of data you need to collect.
• Identify relevant sources : Determine the types of sources that are most suitable for your research. These can include academic journals, books, conference proceedings, government reports, industry publications, statistical databases, websites, and other scholarly resources. Consider both online and offline sources.
• Develop search strategies : Plan your search strategies to locate relevant information effectively. Start by creating a list of keywords and synonyms related to your research topic. Use these keywords to search databases, library catalogues, and search engines. Consider using Boolean operators (AND, OR, NOT) to effectively refine your searches and combine keywords.
• Utilize academic databases : Academic databases such as JSTOR, PubMed , Scopus, Web of Science, and Google Scholar are excellent resources for finding scholarly articles and papers. These databases allow you to search across various disciplines and access a wide range of academic publications.
• Explore institutional libraries : Visit your university or other institutions to access books, thesis, dissertations , and other relevant materials. Librarians can guide you on using the library catalog effectively and help you navigate available resources.
• Access government and organizational reports : Government agencies, research institutes, and organizations often publish reports, white papers, and studies that can provide valuable data and insights. To access these reports, visit relevant websites and explore their research or publications sections.

• Evaluate source credibility : Assess the credibility and reliability of the sources you find. Consider factors such as the author’s expertise, the publication’s reputation, the presence of peer review, and the recency of the information. Use academic judgment to determine the trustworthiness of the sources.
• Extract and organize data : Extract relevant data from the sources you collect. This can include quantitative data, qualitative findings, theories, arguments, or conceptual frameworks. Create a system to organize and store your extracted secondary data collection, such as a spreadsheet or a reference management tool like Zotero or Mendeley.
• Check out our Sample data collection for the Project to see how the secondary data collection is constructed.
• Analyze and synthesize the data : Analyze the secondary data in the research methodology you have gathered and synthesize the information to support your research questions. Identify patterns, themes, and gaps in the existing literature . Compare and contrast different viewpoints and theories, and critically evaluate the strength of the evidence.
• Integrate secondary data with primary research: If you are conducting primary research alongside your desk-based research, integrate the types of secondary data collection into your analysis. Use the secondary data to provide context, compare findings, or support your arguments.
• Cite and reference your sources : Properly cite and reference all the sources you have used in your desk-based research methodology dissertation. Follow the appropriate citation style (e.g., APA, MLA, Chicago) as per your institution’s guidelines. Maintain accurate records of your references to avoid plagiarism and facilitate the writing of your thesis.

Desk-based research provides a foundation of knowledge and can significantly enhance the quality and depth of your PhD thesis. However, it is important to balance secondary research with primary research to contribute original insights and perspectives to your field of study.

• Check out our study guide to learn more about Secondary data collection. How to collect data for your PhD Thesis?

Qualitative desk-based research leverages existing data sources to access diverse information without primary data collection . Researchers gain insights into historical trends, longitudinal studies, and cross-comparisons by analyzing academic journals, government reports, industry publications, and online databases. However, caution must be exercised to ensure data credibility and relevance. Skilled researchers can make well-founded, evidence-based conclusions in any field.

About PhD Assistance

Ph.D. Assistance is completely aware that data collecting is the most critical phase in doing research and can significantly impact the results or conclusion. Our global staff of PhD experts assists you in data collecting based on the study topic and data source. Because PhD experts from across the world educate our data-collecting staff, their implicit and explicit expertise has enabled them to gather any survey (personal interview, mail, in-house), focus groups, etc. and translate it into a more accessible format, therefore assisting decision-making.

• Guerin, Benoit, Barbara Janta, and Anke van Gorp. “Desk-based research and literature review.”  Evaluating interventions that prevent or counter violent extremism 63 (2018).
• Bassot, Barbara.  Doing qualitative desk-based research: a practical guide to writing an excellent dissertation . Policy Press, 2022.
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PhD Assistance | Blog

Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

*The Caveat *

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.  

Overview: S tructuring a dissertation or thesis

• Acknowledgements page
• Abstract (or executive summary)
• Table of contents , list of figures and tables
• Chapter 1: Introduction
• Chapter 2: Literature review
• Chapter 3: Methodology
• Chapter 4: Results
• Chapter 5: Discussion
• Chapter 6: Conclusion
• Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

• The introduction chapter presents the core research question and aims .
• The literature review chapter assesses what the current research says about this question.
• The methodology, results and discussion chapters go about undertaking new research about this question.
• The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

• Succinct (not overly lengthy or verbose)
• Specific (not vague or ambiguous)
• Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

• The broader area of the research (i.e. the overarching topic)
• The specific focus of your research (i.e. your specific context)
• Indication of research design (e.g. quantitative , qualitative , or  mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

• Your dissertation supervisor or committee.
• Any professors, lecturers or academics that helped you understand the topic or methodologies.
• Any tutors, mentors or advisors.
• Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

• Your research questions and aims – what key question(s) did your research aim to answer?
• Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
• Your findings – following your own research, what did do you discover?
• Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

Table of contents

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

• What will you be investigating (in plain-language, big picture-level)?
• Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
• What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
• What is the scope of your study? In other words, what will and won’t you cover ?
• How will you approach your research? In other words, what methodology will you adopt?
• How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

• What does the literature currently say about the topic you’re investigating?
• Is the literature lacking or well established? Is it divided or in disagreement?
• How does your research fit into the bigger picture?
• How does your research contribute something original?
• How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

• Exactly HOW will you carry out your research (i.e. what is your intended research design)?
• Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

• Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the  Grad Coach Blog .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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A Four-Step Guide to Conducting Secondary Research For Your Dissertation

Secondary research is a useful strategy to obtain data and support your ideas when conducting research for your dissertation. It will always be challenging to write a large project like a dissertation all by yourself (professional essay service, 2019). In dissertation secondary research, a specific study subject or topic is investigated utilizing published data sources, such as books, journals, and internet databases. Although conducting secondary research may seem simple, it necessitates a systematic approach to guarantee that you locate and utilize the most relevant and trustworthy sources.

Table of Contents

What Secondary Research Is Used For?

One of the main purposes of secondary research is to thoroughly grasp the body of material that already exists on a certain topic. It frequently serves as a framework for the study and helps contextualize a research topic or hypothesis. Researchers can also find gaps in the literature and areas that need more inquiry by using secondary sources.

Another purpose of secondary research is, secondary research can provide useful insights into the research methodology and analytical techniques employed by other researchers, which can inform the design and implementation of the current study.

Types Of Secondary Research

Dissertation secondary research can be split into two major categories: qualitative and quantitative. While quantitative research is used to gather and analyze numerical data, qualitative research examines individuals’ or groups’ subjective experiences and viewpoints. Other sorts of secondary research fall under these broad categories, including:

literature review: A literature review critically evaluates the body of writing already written about a certain subject. It entails locating, analysing, and synthesizing the pertinent literature to present a thorough overview of the subject field.

Meta-analysis: A meta-analysis is a statistical procedure that combines the findings of several studies to produce a more accurate assessment of the magnitude of an intervention’s or variable’s impact.

Systematic review: Reviewing the literature on a certain topic systematically is a disciplined and organized process in PhD dissertation . It entails formulating an inclusion and exclusion criterion, creating a research topic, then looking up and synthesizing the pertinent literature.

Content analysis: It is a technique for examining written or visual content to spot themes, patterns, and trends.

Historical analysis: Historical analysis is the process of looking at old records or artifacts to understand historical occurrences or social phenomena.

Recognizing these types of overconfidence bias can help individuals become more self-aware and take steps to reduce their impact on decision-making.

Secondary Research Benefits

Compared to primary research methods, there are numerous advantages of secondary research. First off, you can easily find dissertation help in UK . Second, because secondary research includes analyzing existing data rather than gathering new data, it frequently takes less time and costs less money than primary research. Second, by using a variety of sources and disciplines, secondary research can provide a topic with a broader perspective. Thirdly, by conducting secondary research, scholars can steer clear of duplicating prior findings or committing the same errors. Finally, by highlighting areas that need additional research, secondary research can serve as a foundation for subsequent studies.

Difficulties With Secondary Research

Secondary research has several drawbacks despite its benefits. First off, because it depends on the veracity and validity of the material that is already available, secondary research is frequently prone to bias. Second, the calibre and amount of the available types of secondary data may be a constraint for secondary research.

For instance, it could be challenging to reach meaningful conclusions if there is little or obsolete literature on a given subject or not the required Types of secondary data. Finally, because it may require examining a sizable amount of complicated and varied material, secondary research might be difficult to synthesize.

Guide To Conducting A Secondary Research

Here is the secondary research process in 4 steps describes briefly.

Step 2: Select Pertinent Sources

You must choose pertinent dissertation secondary sources after defining your study question. You can conduct secondary research using a range of sources, such as books, journals, online databases, and government papers. Finding answers to open-ended issues as a way of learning and/or developing new knowledge is a part of the research, in addition to simply acquiring information (Goddard, Melville, 2001).

There are many different search techniques you can employ to find relevant dissertation secondary sources. Using keywords related to your research subject to search internet databases and library catalogs is a typical strategy. You can also search for books and articles that are mentioned in the materials you’ve already found.

Step 3: Consider The Sources

After you have found probable sources, you must assess them to see if they are pertinent, trustworthy, and reliable. You can assess sources using a variety of factors, such as the author’s qualifications, the source’s publication date, and its reputation.

It’s crucial to remember that not all sources are created equal while examining them during creating dissertation using only secondary data. Other sources could be out-of-date or irrelevant to your research issue, while some could be prejudiced or unreliable. A source’s context should also be taken into account because it may have an impact on its credibility and applicability.

Step 4: Review And Combine Sources

Analysis and synthesis of the sources you have chosen are the last steps in secondary research. This entails carefully reading each source and making notes on the most important conclusions, points, and supporting details.

You should search for trends and connections among your sources as you study them when you are creating dissertation using only secondary data. Additionally, you should evaluate how the sources you have chosen support or refute your research question and thesis.

You can start combining your sources into a coherent argument after you have evaluated them. This entails determining the key ideas and points that are supported by your sources and utilizing them to strengthen your own argument.

A crucial step in writing a dissertation is conducting secondary research. You can create a compelling argument for your position and prove your subject-matter expertise by using a methodical strategy to locate, assess, and analyze information. You can do efficient secondary research that will aid in the creation of your dissertation by establishing your research question, discovering pertinent sources, assessing these sources, and analyzing and synthesizing your findings.

What Does Dissertation Secondary Research Entail?

How does secondary research for a dissertation get done.

• Determine your research. This will assist you in locating the pertinent sources and information you require to respond to your research inquiry.
• Select pertinent sources. Academic journals, publications, official reports, statistical databases, and other publicly accessible sources may be among them.
• Assess the reliability and applicability of the sources. Look for reliable, current, and pertinent sources that address your research question.
• Examine and assess the information. Consider how important themes and trends are related to your research question after identifying them.
• Summarize the results. Think about how the results relate to the body of prior research on the subject.
• Clearly cite all of your sources. Ensure that you offer comprehensive and correct information for each source, and adhere to the citation style that is advised by your school.

Which Four Kinds Of Secondary Research Are There?

• Literature Review: In this sort of study, the current academic literature on a particular subject is reviewed
• Data Analysis: To address a research topic, data analysis entails examining already-existing quantitative data, such as statistical data, survey results, or market research data.
• Historical Research: To comprehend the historical background of a research subject, historical research entails examining current documents, archives, and other primary materials.
• Case Study Research: To shed light on a research subject, case study research involves examining past case studies and frequently in-depth investigations of a certain company or circumstance.

Which Of The Secondary Research Examples Is The Best?

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What is Secondary Research?

Secondary research, also known as a literature review , preliminary research , historical research , background research , desk research , or library research , is research that analyzes or describes prior research. Rather than generating and analyzing new data, secondary research analyzes existing research results to establish the boundaries of knowledge on a topic, to identify trends or new practices, to test mathematical models or train machine learning systems, or to verify facts and figures. Secondary research is also used to justify the need for primary research as well as to justify and support other activities. For example, secondary research may be used to support a proposal to modernize a manufacturing plant, to justify the use of newly a developed treatment for cancer, to strengthen a business proposal, or to validate points made in a speech.

Why Is Secondary Research Important?

Because secondary research is used for so many purposes in so many settings, all professionals will be required to perform it at some point in their careers. For managers and entrepreneurs, regardless of the industry or profession, secondary research is a regular part of worklife, although parts of the research, such as finding the supporting documents, are often delegated to juniors in the organization. For all these reasons, it is essential to learn how to conduct secondary research, even if you are unlikely to ever conduct primary research.

Secondary research is also essential if your main goal is primary research. Research funding is obtained only by using secondary research to show the need for the primary research you want to conduct. In fact, primary research depends on secondary research to prove that it is indeed new and original research and not just a rehash or replication of somebody else’s work.

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A four-step guide to secondary research for dissertations

The first thing you must know about secondary research is that it is the easiest type. It is much simpler hence we have provided you a guide that is only 4 steps long. Secondary research does not involve the painstaking efforts of primary research. There is no finding participants, selecting and readying measures and spending months collecting data. But there are some basic factors that you need to be aware of when doing secondary research. And here, we are going to cover all of them. Step 1: Develop the research question This step is similar to any other type of research method. At an undergraduate level, a research question is most often provided to you by the supervisor. But this differs when doing a thesis at graduate level. Here you need to come up with a research question on your own. The first thing to do is specify the research area in which your dissertation will fall. Any relevant and interesting topic can be targeted for academic exploration. Once your topic has been identified, it is time to read. Go through existing literature about your chosen topic. This will help you discover any gaps that can be filled by your research. Then create a research question based on this study. Step 2: Identifying a secondary data set After your literature review and forming a research question, you can turn to secondary data collection. There is always some previous data that will fit in perfectly with your own perspective. And will help you answer your stated research question more easily and thoroughly. But how do you come across that useful data for your dissertation? This is done be reviewing the literature based on the topic of your research. This process will help you find other agencies, organizations and research centers that have explored the same area. Once you find the data you need, then you must contact the authors and ask for permission to use it. This process can change depending on external and internal research. The fore mentioned possibility works for external data collection. For internal research, there is no need to search other literature for secondary data set. You can reuse the same previous data that was collected within the organization. In both situations, you have to ultimately make sure that the data fits with your research question. Once that is established, you must state the reasons you chose to rely on secondary data. Step 3: Evaluation of secondary data set There are some disadvantages involved in secondary data collection process. They are as follows:  1. Secondary data might not be suitable for the purpose of your research.  2. It may have a different format from what you require.  3. Validity and reliability might be lacking.  4. Secondary data might not be able to respond to your research question.  5. The actual authors might have failed to provide important information in their research. Since these factors can hinder the efficiency of your research, you must evaluate secondary data. Here are some ways to do that. • The aim of the original study You first need to discover what the aim of the secondary data study is? The writer’s goal impact the overall research. It includes sampling, measurement tools and the context of research. At this point you also need to highlight the differences between your research and the study. It is most likely that they have another research question specified. Hence, it is important to know where your ideas diversify from theirs. • Think of who is behind collecting that data The next stage of evaluation is determining who the data has been collected by. Which institutions were the writers affiliated with? Were they professional enough for their research to be authentic? You can find this information by doing some online research. • The measures employed Legitimate researchers will have complete documents of measures, procedures, samples and protocols. You can obtain this information from their final report or contact them to request for it. This information is essential to make sure it is valid and reliable. • The time that data was collected In evaluation you also require knowing when the data collection took place. In case it happened a long time back, it is most probably outdated. Hence making it obsolete and unusable. And ideal time period is it should be collected within the past five years. • The methodology used for the data collection Knowing the dissertation methodology might be the most important aspect of evaluation. This helps you evaluate the way the sample was acquired. If the size of the sample was sufficient. Whether there were any measures or responses that should exist. Any of the drawback that are present in the original methodology help identify any limitation for your research. Step 4: Prepare and analyze The final step is to move on to preparing the secondary data set after the evaluation. In case of quantitative research outline every variable that will be used in your dissertation. Once that is identified, transfer this into a new Excel or SPSS file. Remember to just copy the whole thing. It is crucial to not make any alteration in it. The final step is analyzing the data. Decide on the analysis technique that is most useful for your data set. A statistical analysis is what you need at this final stage. This was our complete guide to secondary research for a successful dissertation. For further dissertation research help contact us for a quality writing service.

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Dissertation Secondary Research In 4 Steps Explained – Uniresearchers

Are you looking for a comprehensive guide on secondary research ? Well, yeah!! You have come to the right place to shed away all your worries. The topic of secondary and primary research appears to be challenging for the students that makes them anxious, nervous and worried at the same time. As a result, they end up getting poor scores and lower grades in academics. Please don’t be ashamed of it, because this is a very common problem faced by the students amidst their tiring long days jam-packed with classes, lectures, seminars, part-time jobs, etc. 

But let me tell you, secondary research is very simple than you have ever thought of. So here we have come to simplify the overall process of secondary research by completing it in just 4 steps. Want to know how? Here we go. 

Before getting into details, let us understand what exactly “ secondary research ” is. 

To be precise, secondary research refers to the collection of data from the existing research that has been conducted by others (Authors). In other words, secondary research indicates the “past data” that are usually collected from online or offline resources, government records, books, and journal articles pre-existing in the inventory. Secondary research goes exactly opposite to primary research where the main agenda is to conduct your research to collect raw and real-time data. The best part is, that secondary research saves a lot of time, effort and money in the process. To differentiate between the two, primary research is complicated enough which will consume a lot of time in finding the right participants who would provide the data findings to proceed with the research. 

Now, we shall go ahead with the process of secondary research in 4 simple steps. 

Step 1: You need to frame out your research questions 

Yes, correct!! Secondary research will begin with the framing of research questions right after you have settled on the topic of investigation. Now your job is to find the research gap in the literature that will create a strong base for framing the research questions. Once you are done with the research questions, you have almost created the correct roadmap for your research study. 

Step 2: Get the secondary data sets 

Majority of the research proceeds with identifying the secondary data sets in the literature, which are perfectly reusable and aid in addressing the research question more thoroughly. It is your duty to identify useful secondary data which will perfectly fit your research questions. 

Step 3: Simply evaluate the secondary dataset 

The criteria for evaluating the secondary dataset stand on the following metrics – 

• Who collected the data 
• What were the purpose and goal 
• When and how the data was collected 
• Type of data and its consistency with other data sources. 

All of these factors are essential for evaluating the secondary dataset because not always do the secondary data you have found appropriately align with the current research purpose. Moreover, the secondary datasets may lack the validity and reliability to answer your research questions.  Hence, needless to say, the collection of wrong secondary datasets can limit the effectiveness of your study. So never forget to evaluate the secondary datasets that you have planned to present in your research. 

Step 4: Prepare to analyze the secondary data 

In dissertation writing services , we follow this part religiously as it becomes the key part of the secondary research . Firstly, we outline the variables of interest and transfer this data into the Excel file or new SPSS. The next part would be addressing the missing data and recoding variables when necessary. For analyzing the data, we have to select the most suitable technique of analysis that can be through the use of statistical methods, thematic analysis, descriptive, etc. Make sure to be perfect on your part to avoid inconsistencies in the data analysis. 

If you find the facts are varying from one source to another, you must plan your primary research in the same context to get the facts correct using real-time raw data. 

Get your own checklist 

Hold on!! That’s not all!! With tremendous accessibility to the internet nowadays, the reliability and validity of secondary data have stooped down remarkably. So before utilizing external sources for secondary data, make a checklist to ensure the validity and accuracy of your secondary data. Be mindful, that failing to find the correct and valid data will lead you to inaccurate and poor analysis. 

So all you need to do is, be attentive and focused throughout the research study. 

Do you want our dissertation writing services? 

While we have reached almost the end of this article, let us give you some brief ideas about our dissertation writing services . With best-in-class experts in our kitty, we can offer you immense support and guidance in your primary and secondary research . Backed by a team of highly qualified professionals, we take pride in completing numerous dissertations so far. Apart from a perfectly crafted dissertation, we offer you multiple revisions at no cost. 

Our dissertation writing services come up with various other benefits in series. If you need any urgent assistance or support, our 24/7 support teams are always at your service. You must be thinking about how to place your order now. Well, it’s simpler than ever. Visit our website, fill out the order form with all the vital details, and make sure to specify the deadline to get an accurate response. Once your order is approved, we will assign you to the consultant who would lead your order. Trust me, your order for secondary research will be ready in a blink. Yes, it’s so much easy with us!! 

Now shed off your hesitation, and take a step ahead to place the order. Well, do not forget to check our client reviews and testimonials on our website for better clarity on our services. We ensure all the comfort and safety of our clients by maintaining absolute confidentiality. So hurry up and place your order right now to build a bright future.  

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Secondary Research for your Dissertation

A dissertation or thesis research project requires a significant amount of research, with secondary research a necessity for any paper. The secondary research may be undertaken to create the theoretical foundation for the dissertation with the produce the literature review, and it may also be used as an alternative to primary research.

Defining Secondary Research

To examine the use of secondary researchit is first necessary to differentiate secondary from primary research. Primary research occurs where a researcher designs a research project and then collects the results directly from the original sources and can control the collection of the data. Secondary data is data that has already been collected by other researchers in previous research projects and is accessed through existing publications. Examples of secondary sources include;

• Publications such as journal articles and books
• Conferences papers/proceedings
• Television and radio broadcasts
• Past dissertations
• Official/government reports
• Company accounts or other internal organizational reports

The Uses of Secondary Research in a Dissertation

The first use of secondary research in a dissertation is to create the literature review. The literature review is based purely on secondary research, drawing together articles on topics relevant to the main topic. When undertaking secondary research, the review should include secondary research drawing on the empirical research that developed or established the theories that will be applied in the research. Good research will also include additional research reviewing and testing the theories to provide a balanced approach. Secondary research may also be undertaken at the principle research approach as an alternative primary research. When performed in place of primary research, the research methodology will be based on using data collected and published by others and reanalysing, reinterpreting, or reviewing the data.

Advantages and Disadvantages of Secondary Research

The use of secondary research can be advantageous as it is more cost-effective, the data may be more easily accessed, which reduce the time scale and budget needed for the research to be completed. However, secondary research also has some disadvantages. The data is unlikely to be a perfect match for the dissertation planned as the collection was undertaken by a different researcher who may have been answering a different research question, The data may also require reformatting and the detail of the data may be lacking, requiring the correlation of different data sets, or reformulation of the research question.

The Secondary Research Process

The research process using secondary sources may be divided into four stages.

• Formulate the research question. This will usually require a review of available literature to identify and narrow down an area of research which may be undertaken using secondary data.
• Identify the secondary data set that can be used to answer the research question.
• Assess the suitability of the available secondary data, including the degree to which it is aligned with the research question and the quality of the research process which generated the data. Identify alternate or more data if it is needed to increase the robustness of the study
• Prepare and then analyse the secondary data in line with the chosen analytical techniques with the aim of answering the research question

Notably, while secondary research may be used in place of primary research, there is also the potential to use it in conjunction with or as a supplement to primary research.

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Office of the Provost

2024 summer sessions instruction guidelines.

April 1, 2024

Dear Colleagues:

We are preparing for the University's 2024 Summer School Sessions (I & II). Please use the attached  Summer Faculty Appointment Form  to submit the requested information for each person assigned to teach courses offered by your department this summer. Include the identifying numbers of the course(s) each faculty member is scheduled to teach. The  Summer Faculty Appointment Form  is due to the Office of the Provost by  Friday, May 3, for Summer Session I and by Tuesday, June 21, for Summer Session II.   In the form, please indicate if the faculty member is an initial appointment, reappointment, or extended appointment using the following criteria: 

Initial Summer Appointments:   Faculty candidates assigned to teach summer school courses who have not held temporary (full-time or part-time), probationary tenure-track, career-status, or tenured faculty positions within the last 3 years.

Prior to teaching, initial summer faculty candidates must be 1) approved at the appropriate rank, by the respective department, school/college, and Office of the Provost and 2) on-boarded and hired by the Office of Human Resources.  Approval of the appointment (rank, title) for initial appointments will be managed within  Faculty Success .

Summer Reappointments : Faculty appointed as summer school faculty in summer 2023 who did not also hold a temporary (full-time or part-time), probationary, career-status, or tenured faculty position during AY2023-2024. Reappointed faculty must be approved at the respective department, school/college, and university levels. Please ensure that documentation of teaching effectiveness (i.e., summer session student evaluations, peer evaluations) are submitted as part of the application, which will be generated via  Faculty Success . 

Extended Summer Appointments : Faculty with current appointments in AY2023-2024 that expire May 17, 2024. You must complete an  appointment extension  in  Faculty Success  to generate an updated contract for the faculty member to teach summer sessions.

After you receive notification that the appointment has been approved, please direct each new faculty member to contact Office of Human Resources (OHR) prior to or during his/her first week of employment to certify Department of Homeland Security documentation.  The OHR office is located in the HU Service Center, 2244 Tenth Street, NW, Suite 422; email  [email protected] .

Transaction Processing :  All compensation transactions should be approved in time for the May31 payroll.   All compensation transactions for summer school will be entered by the Office of the Provost. 

If you need any assistance related to this process, please contact any of the following individuals:

• Britney Allen, Program Manager, Office of the Provost & Chief Academic Officer, [email protected]
• Department of HRIS, Office of Human Resources, [email protected]
• Office of the Payroll,  [email protected]
• Faculty Success Helpdesk , Office of the Provost, [email protected]

Summer Hiring Policies

• In accordance with 500-012 University Hiring Policy, all initial faculty candidates must be on-boarded and have approval to work from the Office of Human Resources prior to teaching or receiving a paycheck.  
• Reappointed faculty must sign new contracts through  Faculty Success  before they can begin teaching or receiving a paycheck.
• Individuals who violate these policies will be disciplined, up to and including possible termination of employment.

Please ensure that all faculty have been properly authorized to work and fully comply with all applicable University policies.  If you need assistance, please contact the Office of Human Resources (OHR) or any other persons listed above.  OHR will provide additional guidance to assist with processing these transactions.

Faculty Compensation

a. For probationary tenure-track and tenured faculty who are eligible to receive compensation for summer teaching at Howard, the formula for courses meeting the minimum enrollment threshold is:

1/39 x 9-month salary x  #  credit hours taught/session

b. Remuneration for faculty involved in the supervision of independent study, thesis/dissertation, etc., is 50% of the tuition amount paid by each student.  Faculty requests to offer more than 12 credit hours individualized instruction per session must be approved in writing by the Dean and Provost. (Please ensure that thesis and dissertation  research ,  as appropriate, are scheduled by all graduate departments.)

c. For part-time or adjunct faculty:

All Adjunct (part-time) faculty members will be paid a minimum of $1,800 per credit-hour.

The policies and procedures that govern the Summer Sessions are attached below.  Please distribute a copy to all faculty engaged in summer instruction.   If you have questions   concerning this information, kindly contact  Ms. Britney Allen  in the Office of he Provost as soon as possible [email protected] .

Thank you for adhering to the dates and processes identified in this letter.  Enjoy the remainder of the semester.

Anthony K. Wutoh, Ph.D., Provost and Chief Academic Officer

cc:  Charles Pugh, Director of Employee Relations & HR Services

POLICIES & PROCEDURES FOR HOWARD UNIVERSITY SUMMER SESSIONS

Faculty appointments.

Upon the recommendation of the Chair, Dean and the approval of the Provost, summer faculty appointments or extensions are made for faculty who held faculty appointments at Howard University in either the spring or fall term immediately before the summer term. Faculty candidates who have not held appointments in the prior 3 years must be processed as initial appointments. Temporary faculty candidates who taught in the summer prior must be processed as reappointments. Persons holding summer faculty appointments at another institution are not eligible for a simultaneous appointment to the summer faculty at Howard University.

Faculty members engaged in sponsored research during the summer and who wish to teach summer school must determine the apportionment of their effort on a case-by-case basis with their deans to avoid any potential conflict with the university's research policies and with federal regulations. Each 3- or 4-credit hour course represents 20 to 25 percent of an instructor's summer effort, but, depending on the particular circumstances, the percentage might be more or less. A faculty member may not charge 100 percent of his or her summer salary to a sponsored project and also teach a class for which the university provides compensation. Faculty members wishing to teach and conduct sponsored research must discuss the details with their deans.

ENROLLMENT THRESHOLD REQUIREMENTS

Minimum:      5                                              Maximum:     25

Course enrollment level is determined by the number of paid students who have completed registration by 5:00 p.m., on May 20, 2024, for Session I and by 5:00 p.m. on June 24, 2024, for

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• The request to cancel a course must be initiated by the dean, chairperson or individual designated as responsible for the administration of the department's summer program. For this purpose, the standard course scheduling/cancellation form may be used, or the request may be transmitted on official stationery; the request form or memorandum must be approved by either the Department Chair or the Dean; requests from faculty members that are not countersigned by the Chair or Dean will not be accepted.
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Classes Begin                                                                         June 24, 2024

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Faculty members will not be allowed to teach more than 6 credit hours per Summer Session totaling no more than 12 credit hours for both Summer Sessions without the written approval of the Department Chair and Dean.   Howard University salaries for full-time faculty for the summer are determined by computing the individual's 9-month salary and the number of credits taught per summer session (Formula: 1/39 x 9-month salary x the number of credit hours taught per session) if it does not exceed the threshold (IBS divided 1/3rd and result to be restricted to 80%).

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            31 June 2024                                        12 July 2024

         14 June 2024                                        26 July 2024

          28 June 2024*                                     9 August 2024*

*Deposits will be issued only on these dates and final deposits will be issued ONLY to those faculty who have submitted all completed "Grade Sheets" to the Office of the Dean of their respective college/school, within 3 business days following the last day of each summer session. (Summer Session I ends June 23; Summer Session II ends July 27.)

SUMMER FACULTY APPOINTMENT FORMS

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Researcher sees ‘alarming’ risk of political violence in US

A crowd amasses in front of the U.S. Capitol building on Jan. 6, 2021. (Credit: CC image via Wikemedia Commons )  

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Editor’s note: This article contains content around violence and racism that may be upsetting for some readers.

Regina Bateson first traveled to Guatemala in 2005 as a young foreign service officer working in the U.S Embassy in Guatemala City. At the time, the Latin American nation was less than a decade out from the peace accords that had ended its brutal civil war.

According to estimates, nearly 200,000 people died or vanished in the war between 1960 and 1996—most were Indigenous Maya, and most had been killed at the hands of the government or its agents. But, in some ways, Guatemala after the turn of the millennium was not much safer. By 2011, the homicide rate in Guatemala City had reached 104.5 deaths per 100,000 people, more than eight times the homicide rate in Denver in 2022.

Regina Bateson. (Credit: Patrick Campbell/CU Boulder)

A market in Joyabaj, Guatemala, circa 2006. (Credit: CC photo via Wikimedia Commons )

Amid all that violence, Bateson, now an assistant professor of political science at CU Boulder, discovered a contradiction that shaped the rest of her life. She had assumed that the most deadly regions of Guatemala would also be the areas that had been the most wracked by war. But that wasn’t the case. 

To the budding researcher, there seemed to be no rhyme or reason to the patterns of violence in her new home.

“That was puzzling to me. I talked to a lot of people about it when I was there, and nobody had a solid explanation for why that was,” she said. “That was what motivated me to go to graduate school.”

Today, Bateson studies vigilantism and other forms of political violence. Her time in Guatemala and elsewhere has taught her lessons about the ways that these acts can emerge around the globe. Vigilantism, she said, is almost always carried out by a group in power targeting people who have much less power, in many cases motivated by racism or xenophobia. She added that many of the warning signs for violence have reared up across the United States, including the spread of armed and organized militias.  

When she returned to Guatemala for her dissertation research, for example, Bateson encountered an organization known as the Guardianes del Vecindario in Joyabaj—a small town in the department of El Quiché, where the government had perpetrated acts of genocide. The group, or la patrulla (“the patrol”) as locals called it, echoed the civil patrols that roamed the region during the civil war. The group’s several hundred members walked the streets at night, wearing black ski masks, stopping passersby and searching cars. In some cases, patrollers detained, beat and even tortured people they suspected of crimes.

“People are afraid to do anything bad now that the patrol is here,” one Joyabaj resident told Bateson at the time.

Closer to home, there’s still a lot that concerned people in the United States can do to resist an escalation in violence, Bateson said. In 2018, she ran as a Democrat in the primary to represent California’s 4th Congressional District, ultimately coming in third. 

“The court system matters. The judiciary matters,” she said. “Our institutions provide a check on violent and authoritarian behavior that doesn't exist in many other places.” 

Fuzzy lines

When talking about vigilantism, Bateson often points to the case of David Chen, owner of Lucky Moose Food Mart in Toronto.

In 2009, Chen and a few of his staff members chased down a man they believed had stolen plants from their market, tying him up and tossing him into a van. Police arrested both the vigilantes and the alleged thief. But in the years that followed, politicians including then Canadian Prime Minister Stephen Harper showed up at the market to take photos with Chen. Eventually, the government passed a bill to expand the scope of citizens arrests in Canada, and Chen was cleared of all charges.

Bateson defines cases of vigilantism like this as “the extralegal prevention, investigation or punishment of offenses.” 

Preventing political violence

Bateson says that concerned citizens in the United States can do a lot to strengthen democracy and prevent violence. Here are three ways you can help:

Support institutions

Many institutions in the United States, including the judiciary, provide important checks against political violence and vigilantism. Bateson urges people to support politicians and policies that seek to shore up these important bulwarks for democracy.

Support an independent media

Journalists play an important role in holding people in power accountable, Bateson said. Media reporting can even deter vigilantism and other forms of political violence. 

Get involved and vote

People in the United States have the power to elevate elected officials and push their political parties toward adopting pro-democracy and pro-rule of law agendas.

Culturally, the word “vigilante” may conjure up images of Batman or Charles Bronson, star of the 1974 film “Death Wish”—lone wolves taking the law into their own hands. But, as Chen’s case shows, vigilantism is an inherently political act, Bateson said, and the lines between vigilantes and official state institutions can become “fuzzy.”

“Vigilantism threatens human rights and the rule of law,” Bateson said. “Vigilantism is also a way for people, usually those with more power in society, to shape public debate.”

She added that vigilantes around the world tend to draw on the same language and themes to justify their actions—whether that’s in countries with high violent crime rates, or in much safer places like Canada or Scandinavia. Often, vigilantes act on fears that may be unfounded or are deeply rooted in racism and xenophobia.

“They say, ‘We have to step in, and we have no choice because the state is either absent or not being aggressive enough,’” Bateson said. “But the people targeted by vigilantes may have done absolutely nothing wrong and are just perceived as a threat because of their identity.”

Alarming trends

The United States has not been immune to such deadly vigilante violence, including horrific acts by lynch mobs. The NAACP estimates that between 1882 and 1968, 4,743 people were lynched in the United States , more than 70% of whom were Black. This year, six former law enforcement officers from Mississippi were sentenced for a 2023 incident in which they broke into a home and tortured two Black men. 

Bateson has seen “alarming” signs that the United States may be teetering on the brink of political violence today as extremist groups around the country become more organized. 

In recent years, she said, far-right organizations, including some of those responsible for the Jan. 6, 2021, insurrection at the U.S. Capitol, have created robust social networks across the country. Even as some group members have faced prosecution, the Southern Poverty Law Center has found that militias have continued organizing online and underground. Armed militias are patrolling stretches of the southern border with Mexico, seeking to stop and detain migrants crossing north.

“Vigilantism is hard on a logistical level,” she said. “It's hard to carry out, but there's a lot of infrastructure in place to support it in the U.S. right now.”

Bateson also points to the rise in politicians using what she calls “dehumanizing” language. 

“The fact that political rhetoric is singling out particular groups as ‘poisoning the blood of the country’ has really caught the attention of people who study political violence,” Bateson said. “Dehumanizing language like that is such a red flag. Throughout history, it has preceded significant violence targeting vulnerable groups.”

But there’s still time to reverse this trend. In the United States, the rule of law and political institutions, while under pressure, remain strong compared with many other parts of the world.

“Being pro-democracy and pro-rule of law is not an exclusively Democratic, Republican, Green or Libertarian agenda. It’s not a partisan position,” Bateson said. “Being active in your political party and promoting candidates whose values align with what you want to see for the country’s future is so important.”

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