difference between research plan and research design

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Research Methods Guide: Research Design & Method

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Research Methods (sociology-focused)

Qualitative vs. Quantitative Methods (intro)

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FAQ: Research Design & Method

What is the difference between Research Design and Research Method?

Research design is a plan to answer your research question.  A research method is a strategy used to implement that plan.  Research design and methods are different but closely related, because good research design ensures that the data you obtain will help you answer your research question more effectively.

Which research method should I choose ?

It depends on your research goal.  It depends on what subjects (and who) you want to study.  Let's say you are interested in studying what makes people happy, or why some students are more conscious about recycling on campus.  To answer these questions, you need to make a decision about how to collect your data.  Most frequently used methods include:

• Observation / Participant Observation
• Focus Groups
• Experiments
• Secondary Data Analysis / Archival Study
• Mixed Methods (combination of some of the above)

One particular method could be better suited to your research goal than others, because the data you collect from different methods will be different in quality and quantity.   For instance, surveys are usually designed to produce relatively short answers, rather than the extensive responses expected in qualitative interviews.

What other factors should I consider when choosing one method over another?

Time for data collection and analysis is something you want to consider.  An observation or interview method, so-called qualitative approach, helps you collect richer information, but it takes time.  Using a survey helps you collect more data quickly, yet it may lack details.  So, you will need to consider the time you have for research and the balance between strengths and weaknesses associated with each method (e.g., qualitative vs. quantitative).

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How to write a research plan: Step-by-step guide

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30 January 2024

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Today’s businesses and institutions rely on data and analytics to inform their product and service decisions. These metrics influence how organizations stay competitive and inspire innovation. However, gathering data and insights requires carefully constructed research, and every research project needs a roadmap. This is where a research plan comes into play.

Read this step-by-step guide for writing a detailed research plan that can apply to any project, whether it’s scientific, educational, or business-related.

• What is a research plan?

A research plan is a documented overview of a project in its entirety, from end to end. It details the research efforts, participants, and methods needed, along with any anticipated results. It also outlines the project’s goals and mission, creating layers of steps to achieve those goals within a specified timeline.

Without a research plan, you and your team are flying blind, potentially wasting time and resources to pursue research without structured guidance.

The principal investigator, or PI, is responsible for facilitating the research oversight. They will create the research plan and inform team members and stakeholders of every detail relating to the project. The PI will also use the research plan to inform decision-making throughout the project.

• Why do you need a research plan?

Create a research plan before starting any official research to maximize every effort in pursuing and collecting the research data. Crucially, the plan will model the activities needed at each phase of the research project .

Like any roadmap, a research plan serves as a valuable tool providing direction for those involved in the project—both internally and externally. It will keep you and your immediate team organized and task-focused while also providing necessary definitions and timelines so you can execute your project initiatives with full understanding and transparency.

External stakeholders appreciate a working research plan because it’s a great communication tool, documenting progress and changing dynamics as they arise. Any participants of your planned research sessions will be informed about the purpose of your study, while the exercises will be based on the key messaging outlined in the official plan.

Here are some of the benefits of creating a research plan document for every project:

Project organization and structure

Well-informed participants

All stakeholders and teams align in support of the project

Clearly defined project definitions and purposes

Distractions are eliminated, prioritizing task focus

Timely management of individual task schedules and roles

Costly reworks are avoided

• What should a research plan include?

The different aspects of your research plan will depend on the nature of the project. However, most official research plan documents will include the core elements below. Each aims to define the problem statement , devising an official plan for seeking a solution.

Specific project goals and individual objectives

Ideal strategies or methods for reaching those goals

Required resources

Descriptions of the target audience, sample sizes , demographics, and scopes

Key performance indicators (KPIs)

Project background

Research and testing support

Preliminary studies and progress reporting mechanisms

Cost estimates and change order processes

Depending on the research project’s size and scope, your research plan could be brief—perhaps only a few pages of documented plans. Alternatively, it could be a fully comprehensive report. Either way, it’s an essential first step in dictating your project’s facilitation in the most efficient and effective way.

• How to write a research plan for your project

When you start writing your research plan, aim to be detailed about each step, requirement, and idea. The more time you spend curating your research plan, the more precise your research execution efforts will be.

Account for every potential scenario, and be sure to address each and every aspect of the research.

Consider following this flow to develop a great research plan for your project:

Define your project’s purpose

Start by defining your project’s purpose. Identify what your project aims to accomplish and what you are researching. Remember to use clear language.

Thinking about the project’s purpose will help you set realistic goals and inform how you divide tasks and assign responsibilities. These individual tasks will be your stepping stones to reach your overarching goal.

Additionally, you’ll want to identify the specific problem, the usability metrics needed, and the intended solutions.

Know the following three things about your project’s purpose before you outline anything else:

What you’re doing

Why you’re doing it

What you expect from it

Identify individual objectives

With your overarching project objectives in place, you can identify any individual goals or steps needed to reach those objectives. Break them down into phases or steps. You can work backward from the project goal and identify every process required to facilitate it.

Be mindful to identify each unique task so that you can assign responsibilities to various team members. At this point in your research plan development, you’ll also want to assign priority to those smaller, more manageable steps and phases that require more immediate or dedicated attention.

Select research methods

Once you have outlined your goals, objectives, steps, and tasks, it’s time to drill down on selecting research methods . You’ll want to leverage specific research strategies and processes. When you know what methods will help you reach your goals, you and your teams will have direction to perform and execute your assigned tasks.

Research methods might include any of the following:

User interviews : this is a qualitative research method where researchers engage with participants in one-on-one or group conversations. The aim is to gather insights into their experiences, preferences, and opinions to uncover patterns, trends, and data.

Field studies : this approach allows for a contextual understanding of behaviors, interactions, and processes in real-world settings. It involves the researcher immersing themselves in the field, conducting observations, interviews, or experiments to gather in-depth insights.

Card sorting : participants categorize information by sorting content cards into groups based on their perceived similarities. You might use this process to gain insights into participants’ mental models and preferences when navigating or organizing information on websites, apps, or other systems.

Focus groups : use organized discussions among select groups of participants to provide relevant views and experiences about a particular topic.

Diary studies : ask participants to record their experiences, thoughts, and activities in a diary over a specified period. This method provides a deeper understanding of user experiences, uncovers patterns, and identifies areas for improvement.

Five-second testing: participants are shown a design, such as a web page or interface, for just five seconds. They then answer questions about their initial impressions and recall, allowing you to evaluate the design’s effectiveness.

Surveys : get feedback from participant groups with structured surveys. You can use online forms, telephone interviews, or paper questionnaires to reveal trends, patterns, and correlations.

Tree testing : tree testing involves researching web assets through the lens of findability and navigability. Participants are given a textual representation of the site’s hierarchy (the “tree”) and asked to locate specific information or complete tasks by selecting paths.

Usability testing : ask participants to interact with a product, website, or application to evaluate its ease of use. This method enables you to uncover areas for improvement in digital key feature functionality by observing participants using the product.

Live website testing: research and collect analytics that outlines the design, usability, and performance efficiencies of a website in real time.

There are no limits to the number of research methods you could use within your project. Just make sure your research methods help you determine the following:

What do you plan to do with the research findings?

What decisions will this research inform? How can your stakeholders leverage the research data and results?

Recruit participants and allocate tasks

Next, identify the participants needed to complete the research and the resources required to complete the tasks. Different people will be proficient at different tasks, and having a task allocation plan will allow everything to run smoothly.

Prepare a thorough project summary

Every well-designed research plan will feature a project summary. This official summary will guide your research alongside its communications or messaging. You’ll use the summary while recruiting participants and during stakeholder meetings. It can also be useful when conducting field studies.

Ensure this summary includes all the elements of your research project . Separate the steps into an easily explainable piece of text that includes the following:

An introduction: the message you’ll deliver to participants about the interview, pre-planned questioning, and testing tasks.

Interview questions: prepare questions you intend to ask participants as part of your research study, guiding the sessions from start to finish.

An exit message: draft messaging your teams will use to conclude testing or survey sessions. These should include the next steps and express gratitude for the participant’s time.

Create a realistic timeline

While your project might already have a deadline or a results timeline in place, you’ll need to consider the time needed to execute it effectively.

Realistically outline the time needed to properly execute each supporting phase of research and implementation. And, as you evaluate the necessary schedules, be sure to include additional time for achieving each milestone in case any changes or unexpected delays arise.

For this part of your research plan, you might find it helpful to create visuals to ensure your research team and stakeholders fully understand the information.

Determine how to present your results

A research plan must also describe how you intend to present your results. Depending on the nature of your project and its goals, you might dedicate one team member (the PI) or assume responsibility for communicating the findings yourself.

In this part of the research plan, you’ll articulate how you’ll share the results. Detail any materials you’ll use, such as:

Presentations and slides

A project report booklet

A project findings pamphlet

Documents with key takeaways and statistics

Graphic visuals to support your findings

• Format your research plan

As you create your research plan, you can enjoy a little creative freedom. A plan can assume many forms, so format it how you see fit. Determine the best layout based on your specific project, intended communications, and the preferences of your teams and stakeholders.

Find format inspiration among the following layouts:

Written outlines

Narrative storytelling

Visual mapping

Graphic timelines

Remember, the research plan format you choose will be subject to change and adaptation as your research and findings unfold. However, your final format should ideally outline questions, problems, opportunities, and expectations.

• Research plan example

Imagine you’ve been tasked with finding out how to get more customers to order takeout from an online food delivery platform. The goal is to improve satisfaction and retain existing customers. You set out to discover why more people aren’t ordering and what it is they do want to order or experience. 

You identify the need for a research project that helps you understand what drives customer loyalty . But before you jump in and start calling past customers, you need to develop a research plan—the roadmap that provides focus, clarity, and realistic details to the project.

Here’s an example outline of a research plan you might put together:

Project title

Project members involved in the research plan

Purpose of the project (provide a summary of the research plan’s intent)

Objective 1 (provide a short description for each objective)

Objective 2

Objective 3

Proposed timeline

Audience (detail the group you want to research, such as customers or non-customers)

Budget (how much you think it might cost to do the research)

Risk factors/contingencies (any potential risk factors that may impact the project’s success)

Remember, your research plan doesn’t have to reinvent the wheel—it just needs to fit your project’s unique needs and aims.

Customizing a research plan template

Some companies offer research plan templates to help get you started. However, it may make more sense to develop your own customized plan template. Be sure to include the core elements of a great research plan with your template layout, including the following:

Introductions to participants and stakeholders

Background problems and needs statement

Significance, ethics, and purpose

Research methods, questions, and designs

Preliminary beliefs and expectations

Implications and intended outcomes

Realistic timelines for each phase

Conclusion and presentations

How many pages should a research plan be?

Generally, a research plan can vary in length between 500 to 1,500 words. This is roughly three pages of content. More substantial projects will be 2,000 to 3,500 words, taking up four to seven pages of planning documents.

What is the difference between a research plan and a research proposal?

A research plan is a roadmap to success for research teams. A research proposal, on the other hand, is a dissertation aimed at convincing or earning the support of others. Both are relevant in creating a guide to follow to complete a project goal.

What are the seven steps to developing a research plan?

While each research project is different, it’s best to follow these seven general steps to create your research plan:

Defining the problem

Identifying goals

Choosing research methods

Recruiting participants

Preparing the brief or summary

Establishing task timelines

Defining how you will present the findings

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Home » Education » Difference Between Research Methods and Research Design

Difference Between Research Methods and Research Design

Main difference – research methods vs research design.

Research methods and research design are terms you must know before starting a research project. Both these elements are essential to the success of a research project. However, many new researchers assume research methods and research design to be the same. Research design is the overall structure of a research project. For example, if you are building a house, you need to have a good idea about what kind of house you are going to build; you cannot do anything without knowing this. A research design is the same – you cannot proceed with the research study without having a proper research design. Research methods are the procedures that are used to collect and analyze data. Thus, the main difference between research methods and research design is that research design is the overall structure of the research study whereas research methods are the various processes, procedures, and tools used to collect and analyze data.

1. What are Research Methods?      – Definition, Features, Characteristics

2. What is Research Design?      – Definition, Features, Characteristics

What are Research Methods

Research methods are concerned with the various research processes, procedures, and tools – techniques of gathering information, various ways of analyzing them. Research problems can be categorized into two basic sections: qualitative research and quantitative research . Researchers may use one or both of these methods (mixed method) in their research studies. The type of research method you choose would depend on your research questions or problem and research design.

The main aim of a research study is to produce new knowledge or deepen the existing understanding of a field. This can be done by three forms.

Exploratory research – identifies and outlines a problem or question

Constructive research – tests theories and suggests solutions to a problem or question

Empirical research – tests the viability of a solution using empirical evidence

What is a Research Design

Research design is the overall plan or structure of the research project. It indicates what type of study is planned and what kind of results are expected from this project. It specifically focuses on the final results of the research. It is almost impossible to proceed with a research project without a proper research design. The main function of a research design is to make sure that the information gathered throughout the research answers the initial question unambiguously. In other words, the final outcomes and conclusions of the research must correspond with the research problems chosen at the beginning of the research.

A research design can be,

Descriptive (case study, survey, naturalistic observation, etc.)

Correlational (case-control study, observational study, etc.)

Experimental (experiments)

Semi-experimental (field experiment, quasi-experiment, etc.)

Meta-analytic (meta-analysis)

Review ( literature review , systematic review)

Research Methods : Research methods are the procedures that will be used to collect and analyze data.

Research Design: Research design is the overall structure of the research.

Research Methods: Research methods focus on what type of methods are more suitable to collect and analyze the evidence we need.

Research Design: Research design focuses on what type of study is planned and what kind of results are expected from the research.

Research Methods: Research methods depend on the research design.

Research Design: Research design is based on the research question or problem.

De Vaus, D. A. 2001. Research design in social research. London: SAGE.

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“The Scientific Method” By CK-12 Foundation – File:High_School_Chemistry.pdf, page 23 (CC BY-SA 3.0) via Commons Wikimedia

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Hasanthi is a seasoned content writer and editor with over 8 years of experience. Armed with a BA degree in English and a knack for digital marketing, she explores her passions for literature, history, culture, and food through her engaging and informative writing.

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Research Design vs. Research Method

What's the difference.

Research design refers to the overall plan or structure of a research study, outlining the methods and procedures that will be used to collect and analyze data. It includes decisions about the research questions, sampling techniques, data collection methods, and data analysis procedures. On the other hand, research method refers to the specific techniques or tools that will be used to gather and analyze data within the research design. Research methods can include surveys, experiments, interviews, observations, and content analysis. In essence, research design provides the framework for the study, while research methods are the specific tools used to carry out the research.

Further Detail

Introduction.

Research design and research method are two crucial components of any research study. While they are often used interchangeably, they actually refer to different aspects of the research process. Understanding the distinctions between research design and research method is essential for conducting a successful research study.

Research Design

Research design refers to the overall plan or strategy that guides the research study. It outlines the structure of the study, including the research questions, hypotheses, variables, and data collection methods. Research design is crucial because it helps researchers to organize their study and ensure that they are addressing their research questions effectively.

There are several types of research designs, including experimental, correlational, descriptive, and exploratory. Each type of research design has its own strengths and weaknesses, and researchers must choose the most appropriate design based on their research questions and objectives.

Research design also includes decisions about the sampling strategy, data collection procedures, and data analysis techniques. These decisions are critical for ensuring the validity and reliability of the research findings.

In summary, research design is the blueprint for the research study, outlining the overall structure and strategy that will be used to address the research questions.

Research Method

Research method, on the other hand, refers to the specific techniques and procedures that researchers use to collect and analyze data. Research method is more focused on the practical aspects of conducting the research study, such as the tools and instruments that will be used to gather data.

There are various research methods that researchers can use, including surveys, experiments, interviews, observations, and case studies. Each research method has its own strengths and limitations, and researchers must choose the most appropriate method based on their research questions and objectives.

Research method also includes decisions about the data collection process, such as the sample size, data collection tools, and data analysis techniques. These decisions are crucial for ensuring the accuracy and reliability of the research findings.

In summary, research method is the practical implementation of the research design, involving the specific techniques and procedures that researchers use to collect and analyze data.

While research design and research method are distinct concepts, they are closely related and interdependent. Research design provides the overall framework for the research study, guiding the selection of research questions, hypotheses, variables, and data collection methods.

Research method, on the other hand, involves the practical implementation of the research design, determining the specific techniques and procedures that will be used to collect and analyze data. Research method is informed by the research design, as researchers must choose methods that are consistent with the overall structure and strategy of the study.

Both research design and research method are essential for conducting a successful research study. A well-designed research study with a clear research design and appropriate research methods is more likely to produce valid and reliable findings.

Ultimately, researchers must carefully consider both research design and research method when planning and conducting a research study, as they are both critical components of the research process.

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Research Design 101

Everything You Need To Get Started (With Examples)

By: Derek Jansen (MBA) | Reviewers: Eunice Rautenbach (DTech) & Kerryn Warren (PhD) | April 2023

Navigating the world of research can be daunting, especially if you’re a first-time researcher. One concept you’re bound to run into fairly early in your research journey is that of “ research design ”. Here, we’ll guide you through the basics using practical examples , so that you can approach your research with confidence.

Overview: Research Design 101

What is research design.

• Research design types for quantitative studies
• Video explainer : quantitative research design
• Research design types for qualitative studies
• Video explainer : qualitative research design
• How to choose a research design
• Key takeaways

Research design refers to the overall plan, structure or strategy that guides a research project , from its conception to the final data analysis. A good research design serves as the blueprint for how you, as the researcher, will collect and analyse data while ensuring consistency, reliability and validity throughout your study.

Understanding different types of research designs is essential as helps ensure that your approach is suitable  given your research aims, objectives and questions , as well as the resources you have available to you. Without a clear big-picture view of how you’ll design your research, you run the risk of potentially making misaligned choices in terms of your methodology – especially your sampling , data collection and data analysis decisions.

The problem with defining research design…

One of the reasons students struggle with a clear definition of research design is because the term is used very loosely across the internet, and even within academia.

Some sources claim that the three research design types are qualitative, quantitative and mixed methods , which isn’t quite accurate (these just refer to the type of data that you’ll collect and analyse). Other sources state that research design refers to the sum of all your design choices, suggesting it’s more like a research methodology . Others run off on other less common tangents. No wonder there’s confusion!

In this article, we’ll clear up the confusion. We’ll explain the most common research design types for both qualitative and quantitative research projects, whether that is for a full dissertation or thesis, or a smaller research paper or article.

Research Design: Quantitative Studies

Quantitative research involves collecting and analysing data in a numerical form. Broadly speaking, there are four types of quantitative research designs: descriptive , correlational , experimental , and quasi-experimental . 

Descriptive Research Design

As the name suggests, descriptive research design focuses on describing existing conditions, behaviours, or characteristics by systematically gathering information without manipulating any variables. In other words, there is no intervention on the researcher’s part – only data collection.

For example, if you’re studying smartphone addiction among adolescents in your community, you could deploy a survey to a sample of teens asking them to rate their agreement with certain statements that relate to smartphone addiction. The collected data would then provide insight regarding how widespread the issue may be – in other words, it would describe the situation.

The key defining attribute of this type of research design is that it purely describes the situation . In other words, descriptive research design does not explore potential relationships between different variables or the causes that may underlie those relationships. Therefore, descriptive research is useful for generating insight into a research problem by describing its characteristics . By doing so, it can provide valuable insights and is often used as a precursor to other research design types.

Correlational Research Design

Correlational design is a popular choice for researchers aiming to identify and measure the relationship between two or more variables without manipulating them . In other words, this type of research design is useful when you want to know whether a change in one thing tends to be accompanied by a change in another thing.

For example, if you wanted to explore the relationship between exercise frequency and overall health, you could use a correlational design to help you achieve this. In this case, you might gather data on participants’ exercise habits, as well as records of their health indicators like blood pressure, heart rate, or body mass index. Thereafter, you’d use a statistical test to assess whether there’s a relationship between the two variables (exercise frequency and health).

As you can see, correlational research design is useful when you want to explore potential relationships between variables that cannot be manipulated or controlled for ethical, practical, or logistical reasons. It is particularly helpful in terms of developing predictions , and given that it doesn’t involve the manipulation of variables, it can be implemented at a large scale more easily than experimental designs (which will look at next).

That said, it’s important to keep in mind that correlational research design has limitations – most notably that it cannot be used to establish causality . In other words, correlation does not equal causation . To establish causality, you’ll need to move into the realm of experimental design, coming up next…

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Experimental Research Design

Experimental research design is used to determine if there is a causal relationship between two or more variables . With this type of research design, you, as the researcher, manipulate one variable (the independent variable) while controlling others (dependent variables). Doing so allows you to observe the effect of the former on the latter and draw conclusions about potential causality.

For example, if you wanted to measure if/how different types of fertiliser affect plant growth, you could set up several groups of plants, with each group receiving a different type of fertiliser, as well as one with no fertiliser at all. You could then measure how much each plant group grew (on average) over time and compare the results from the different groups to see which fertiliser was most effective.

Overall, experimental research design provides researchers with a powerful way to identify and measure causal relationships (and the direction of causality) between variables. However, developing a rigorous experimental design can be challenging as it’s not always easy to control all the variables in a study. This often results in smaller sample sizes , which can reduce the statistical power and generalisability of the results.

Moreover, experimental research design requires random assignment . This means that the researcher needs to assign participants to different groups or conditions in a way that each participant has an equal chance of being assigned to any group (note that this is not the same as random sampling ). Doing so helps reduce the potential for bias and confounding variables . This need for random assignment can lead to ethics-related issues . For example, withholding a potentially beneficial medical treatment from a control group may be considered unethical in certain situations.

Quasi-Experimental Research Design

Quasi-experimental research design is used when the research aims involve identifying causal relations , but one cannot (or doesn’t want to) randomly assign participants to different groups (for practical or ethical reasons). Instead, with a quasi-experimental research design, the researcher relies on existing groups or pre-existing conditions to form groups for comparison.

For example, if you were studying the effects of a new teaching method on student achievement in a particular school district, you may be unable to randomly assign students to either group and instead have to choose classes or schools that already use different teaching methods. This way, you still achieve separate groups, without having to assign participants to specific groups yourself.

Naturally, quasi-experimental research designs have limitations when compared to experimental designs. Given that participant assignment is not random, it’s more difficult to confidently establish causality between variables, and, as a researcher, you have less control over other variables that may impact findings.

All that said, quasi-experimental designs can still be valuable in research contexts where random assignment is not possible and can often be undertaken on a much larger scale than experimental research, thus increasing the statistical power of the results. What’s important is that you, as the researcher, understand the limitations of the design and conduct your quasi-experiment as rigorously as possible, paying careful attention to any potential confounding variables .

Research Design: Qualitative Studies

There are many different research design types when it comes to qualitative studies, but here we’ll narrow our focus to explore the “Big 4”. Specifically, we’ll look at phenomenological design, grounded theory design, ethnographic design, and case study design.

Phenomenological Research Design

Phenomenological design involves exploring the meaning of lived experiences and how they are perceived by individuals. This type of research design seeks to understand people’s perspectives , emotions, and behaviours in specific situations. Here, the aim for researchers is to uncover the essence of human experience without making any assumptions or imposing preconceived ideas on their subjects.

For example, you could adopt a phenomenological design to study why cancer survivors have such varied perceptions of their lives after overcoming their disease. This could be achieved by interviewing survivors and then analysing the data using a qualitative analysis method such as thematic analysis to identify commonalities and differences.

Phenomenological research design typically involves in-depth interviews or open-ended questionnaires to collect rich, detailed data about participants’ subjective experiences. This richness is one of the key strengths of phenomenological research design but, naturally, it also has limitations. These include potential biases in data collection and interpretation and the lack of generalisability of findings to broader populations.

Grounded Theory Research Design

Grounded theory (also referred to as “GT”) aims to develop theories by continuously and iteratively analysing and comparing data collected from a relatively large number of participants in a study. It takes an inductive (bottom-up) approach, with a focus on letting the data “speak for itself”, without being influenced by preexisting theories or the researcher’s preconceptions.

As an example, let’s assume your research aims involved understanding how people cope with chronic pain from a specific medical condition, with a view to developing a theory around this. In this case, grounded theory design would allow you to explore this concept thoroughly without preconceptions about what coping mechanisms might exist. You may find that some patients prefer cognitive-behavioural therapy (CBT) while others prefer to rely on herbal remedies. Based on multiple, iterative rounds of analysis, you could then develop a theory in this regard, derived directly from the data (as opposed to other preexisting theories and models).

Grounded theory typically involves collecting data through interviews or observations and then analysing it to identify patterns and themes that emerge from the data. These emerging ideas are then validated by collecting more data until a saturation point is reached (i.e., no new information can be squeezed from the data). From that base, a theory can then be developed .

As you can see, grounded theory is ideally suited to studies where the research aims involve theory generation , especially in under-researched areas. Keep in mind though that this type of research design can be quite time-intensive , given the need for multiple rounds of data collection and analysis.

Ethnographic Research Design

Ethnographic design involves observing and studying a culture-sharing group of people in their natural setting to gain insight into their behaviours, beliefs, and values. The focus here is on observing participants in their natural environment (as opposed to a controlled environment). This typically involves the researcher spending an extended period of time with the participants in their environment, carefully observing and taking field notes .

All of this is not to say that ethnographic research design relies purely on observation. On the contrary, this design typically also involves in-depth interviews to explore participants’ views, beliefs, etc. However, unobtrusive observation is a core component of the ethnographic approach.

As an example, an ethnographer may study how different communities celebrate traditional festivals or how individuals from different generations interact with technology differently. This may involve a lengthy period of observation, combined with in-depth interviews to further explore specific areas of interest that emerge as a result of the observations that the researcher has made.

As you can probably imagine, ethnographic research design has the ability to provide rich, contextually embedded insights into the socio-cultural dynamics of human behaviour within a natural, uncontrived setting. Naturally, however, it does come with its own set of challenges, including researcher bias (since the researcher can become quite immersed in the group), participant confidentiality and, predictably, ethical complexities . All of these need to be carefully managed if you choose to adopt this type of research design.

Case Study Design

With case study research design, you, as the researcher, investigate a single individual (or a single group of individuals) to gain an in-depth understanding of their experiences, behaviours or outcomes. Unlike other research designs that are aimed at larger sample sizes, case studies offer a deep dive into the specific circumstances surrounding a person, group of people, event or phenomenon, generally within a bounded setting or context .

As an example, a case study design could be used to explore the factors influencing the success of a specific small business. This would involve diving deeply into the organisation to explore and understand what makes it tick – from marketing to HR to finance. In terms of data collection, this could include interviews with staff and management, review of policy documents and financial statements, surveying customers, etc.

While the above example is focused squarely on one organisation, it’s worth noting that case study research designs can have different variation s, including single-case, multiple-case and longitudinal designs. As you can see in the example, a single-case design involves intensely examining a single entity to understand its unique characteristics and complexities. Conversely, in a multiple-case design , multiple cases are compared and contrasted to identify patterns and commonalities. Lastly, in a longitudinal case design , a single case or multiple cases are studied over an extended period of time to understand how factors develop over time.

As you can see, a case study research design is particularly useful where a deep and contextualised understanding of a specific phenomenon or issue is desired. However, this strength is also its weakness. In other words, you can’t generalise the findings from a case study to the broader population. So, keep this in mind if you’re considering going the case study route.

How To Choose A Research Design

Having worked through all of these potential research designs, you’d be forgiven for feeling a little overwhelmed and wondering, “ But how do I decide which research design to use? ”. While we could write an entire post covering that alone, here are a few factors to consider that will help you choose a suitable research design for your study.

Data type: The first determining factor is naturally the type of data you plan to be collecting – i.e., qualitative or quantitative. This may sound obvious, but we have to be clear about this – don’t try to use a quantitative research design on qualitative data (or vice versa)!

Research aim(s) and question(s): As with all methodological decisions, your research aim and research questions will heavily influence your research design. For example, if your research aims involve developing a theory from qualitative data, grounded theory would be a strong option. Similarly, if your research aims involve identifying and measuring relationships between variables, one of the experimental designs would likely be a better option.

Time: It’s essential that you consider any time constraints you have, as this will impact the type of research design you can choose. For example, if you’ve only got a month to complete your project, a lengthy design such as ethnography wouldn’t be a good fit.

Resources: Take into account the resources realistically available to you, as these need to factor into your research design choice. For example, if you require highly specialised lab equipment to execute an experimental design, you need to be sure that you’ll have access to that before you make a decision.

Keep in mind that when it comes to research, it’s important to manage your risks and play as conservatively as possible. If your entire project relies on you achieving a huge sample, having access to niche equipment or holding interviews with very difficult-to-reach participants, you’re creating risks that could kill your project. So, be sure to think through your choices carefully and make sure that you have backup plans for any existential risks. Remember that a relatively simple methodology executed well generally will typically earn better marks than a highly-complex methodology executed poorly.

Recap: Key Takeaways

We’ve covered a lot of ground here. Let’s recap by looking at the key takeaways:

• Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final analysis of data.
• Research designs for quantitative studies include descriptive , correlational , experimental and quasi-experimenta l designs.
• Research designs for qualitative studies include phenomenological , grounded theory , ethnographic and case study designs.
• When choosing a research design, you need to consider a variety of factors, including the type of data you’ll be working with, your research aims and questions, your time and the resources available to you.

If you need a helping hand with your research design (or any other aspect of your research), check out our private coaching services .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

13 Comments

Is there any blog article explaining more on Case study research design? Is there a Case study write-up template? Thank you.

Thanks this was quite valuable to clarify such an important concept.

Thanks for this simplified explanations. it is quite very helpful.

This was really helpful. thanks

Thank you for your explanation. I think case study research design and the use of secondary data in researches needs to be talked about more in your videos and articles because there a lot of case studies research design tailored projects out there.

Please is there any template for a case study research design whose data type is a secondary data on your repository?

This post is very clear, comprehensive and has been very helpful to me. It has cleared the confusion I had in regard to research design and methodology.

This post is helpful, easy to understand, and deconstructs what a research design is. Thanks

This post is really helpful.

how to cite this page

Thank you very much for the post. It is wonderful and has cleared many worries in my mind regarding research designs. I really appreciate .

how can I put this blog as my reference(APA style) in bibliography part?

This post has been very useful to me. Confusing areas have been cleared

This is very helpful and very useful!

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Research Methodology: Overview of Research Methodology

• Overview of Research Methodology
• General Encyclopedias on Research Methodology
• General Handbooks on Research Methodology
• Focus Groups
• Case Studies
• Cost Benefit Analysis
• Participatory Action Research
• Archival Research
• Data Analysis

Research Methods Overview

If you are planning to do research - whether you are doing a student research project,  IQP,  MQP, GPS project, thesis, or dissertation, you need to use valid approaches and tools to set up your study, gather your data, and make sense of your findings. This research methods guide will help you choose a methodology and launch into your research project. 

Data collection and data analysis are  research methods  that can be applied to many disciplines. There is Qualitative research and Quantitative Research. The focus of this guide, includes most popular methods including: 

focus groups

case studies

We are happy to answer questions about research methods and assist with choosing a method that is right for your research in person or online. below is a video on how to book a research consultation

"How-To": Booking a Research Consultation

" Research Data Management " by  Peter Neish  is marked with  CC0 1.0 .

Research Design vs Research Method

What is the difference between Research Design and Research Method?

Research design is a plan to answer your research question.  A research method is a strategy used to implement that plan.  Research design and methods are different but closely related, because good research design ensures that the data you obtain will help you answer your research question more effectively.

Which research method should I choose ?

It depends on your research goal.  It depends on what subjects (and who) you want to study.  Let's say you are interested in studying what makes people happy, or why some students are more conscious about recycling on campus.  To answer these questions, you need to make a decision about how to collect your data.  Most frequently used methods include:

• Observation / Participant Observation
• Experiments
• Secondary Data Analysis / Archival Study
• Mixed Methods (combination of some of the above)

One particular method could be better suited to your research goal than others, because the data you collect from different methods will be different in quality and quantity.   For instance, surveys are usually designed to produce relatively short answers, rather than the extensive responses expected in qualitative interviews.

What other factors should I consider when choosing one method over another?

Time for data collection and analysis is something you want to consider.  An observation or interview method, so-called qualitative approach, helps you collect richer information, but it takes time.  Using a survey helps you collect more data quickly, yet it may lack details.  So, you will need to consider the time you have for research and the balance between strengths and weaknesses associated with each method (e.g., qualitative vs. quantitative).

Research Data Management

Research Data Management (RDM) refers to how you are going to keep and share your data over longer time frame - like after you graduate. It is defined as the organization, documentation, storage, and  preservation  of the  data  resulting from the research process, where data can be broadly defined as the outcome of experiments or observations that validate research findings, and can take a variety of forms including numerical output ( quantitative data ),  qualitative data , documentation, images, audio, and video.

"Research Design"  by  George C Gordon Library  is licensed under  CC BY 4.0  / A derivative from the  original work

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Clarifying Concepts: The Difference Between Research Design and Method

In the realm of academic research, understanding the nuances of research design and method is crucial for scholars and students alike. This article aims to demystify the often-confused concepts of research design and research method, elucidating their distinct roles within the scholarly research process. Through this exploration, readers will gain clarity on how these components interact and contribute to the overall success of a research project.

Key Takeaways

• Research design serves as the strategic framework of a study, outlining the approach for collecting and analyzing data, while research methods are the specific techniques employed within this framework.
• The choice of research design is influenced by the research question, objectives, and the nature of the subject matter, and it significantly impacts the selection of appropriate research methods.
• Understanding the difference between qualitative and quantitative methods is key to selecting the right tools for data collection and analysis, aligning with the chosen research design.
• Evaluating research methodologies within academic literature requires a critical understanding of methodological approaches and their implications for research outcomes.
• The interplay between research design and method must be coherent to ensure the validity and reliability of the research, and innovations in methodology can enhance the robustness of future studies.

Understanding Research Design in Academic Studies

Defining research design.

When you embark on your master thesis research , you're not just filling a gap in knowledge; you're crafting a blueprint for discovery. [ Research design ](https://libguides.usc.edu/writingguide/researchdesigns) is this blueprint, a framework that guides the entire study from conception to conclusion. It encompasses the plan for when and how to collect and analyze data, ensuring that the research question can be answered effectively.

The design of your research is pivotal, as it influences the reliability and validity of your findings. It's a strategic choice that aligns with your study's objectives, integrating various components such as the purpose of the study, the type of research, data collection techniques, and methods of analysis. To illustrate, consider the following list detailing aspects of a research design:

• Purpose of the study
• Type of research (e.g., exploratory, descriptive, causal)
• Data collection methods (e.g., surveys, interviews)
• Analytical techniques (e.g., statistical analysis, thematic analysis)

By meticulously planning your research design, you ensure that the study's execution is coherent and logical, ultimately contributing to the existing body of knowledge with reliable data and insightful analysis.

Components of a Research Design

When you embark on an academic study, understanding the components of a research design is crucial. It's the blueprint that guides your entire research process, from the initial question to the final analysis. The components include the purpose of the study, the type of research design, data collection techniques, and the methods of data analysis, among others. Each element is interconnected and essential for the coherence of your study.

For instance, the MIDA Framework suggests that a research design consists of a Model (M), Inquiry (I), Data strategy (D), and Answer strategy (A). These elements work together to form a solid foundation for your research. Here's a brief overview:

• Model (M): The theoretical framework that underpins your study.
• Inquiry (I): The questions you aim to answer through your research.
• Data strategy (D): How you will collect and manage your data.
• Answer strategy (A): The techniques you will use to analyze the data and draw conclusions.

It's important to align these components with your study objectives to ensure that your research is methodologically sound. Remember, a well-constructed research design not only facilitates data collection and analysis but also strengthens the validity and reliability of your findings. As Research Rebel emphasizes, methodology and research design are pivotal in crafting a Ph.D. thesis proposal, which includes ethical considerations as well. Moreover, as you delve into the literature, you'll notice that methodology sections in research articles detail the research design, participants, instruments, and administrative procedures, highlighting the multifaceted nature of research design.

Significance of Research Design in Scholarly Work

In the realm of academic studies, the significance of research design cannot be overstated. It serves as the blueprint for your entire research project, guiding you through the intricate process of data collection, analysis, and interpretation. A well-constructed research design ensures that the study is methodologically sound and capable of addressing the research questions or hypotheses posed.

When you embark on scholarly work, you must consider various components of research design, such as the purpose of the study, the type of design, and the methods of data analysis. These elements are crucial for collecting relevant evidence and testing hypotheses. For instance, thesis writing research methods include both quantitative and qualitative approaches, each with its own set of strengths and limitations. The choice between these methods should align with your study's objectives and the nature of the data required.

Moreover, a robust research design is instrumental in avoiding common pitfalls in academic research. It helps in laying a solid foundation for the study, especially when there is a lack of prior research on the topic. It is also essential for interpreting results accurately, as it minimizes the risk of misinterpreting statistical significance as practical significance. Here are some common types of research designs you might encounter:

• Exploratory Research Design
• Descriptive and Diagnostic Research Design
• Hypothesis-Testing Research Design
• Causal Research (Explanatory research)

Ultimately, the research design you choose has profound implications for the credibility and impact of your scholarly work. It not only demonstrates what works but also sheds light on what doesn't work or what needs further clarification, thereby contributing to the larger body of knowledge within your field.

Exploring Research Methods: Tools for Data Collection and Analysis

Qualitative vs. quantitative methods.

When you embark on your research journey, understanding the distinction between qualitative and quantitative methods is crucial. Qualitative research delves into the qualities or characteristics of your subject matter. It employs techniques such as interviews, focus groups, and field observations to collect rich, narrative data. This approach is often exploratory, allowing for in-depth insights into complex issues.

In contrast, quantitative research is anchored in the collection of numeric data . It seeks to quantify variables and, often through the use of statistical tools, aims to establish patterns and generalize findings to a broader population. Common methods include surveys, questionnaires, and tests. The goal is to generate knowledge and create a structured understanding of the world.

• Focus groups
• Field observation
• Questionnaires

The choice between these methods should align with your research objectives and the nature of the data you aim to collect. Whether you are examining the 'why' behind human behavior or the 'what' that can be measured, each method provides a unique lens through which to view your research question.

Innovative Techniques in Data Gathering

As you delve into the realm of academic research, you'll find that traditional data collection methods such as surveys and interviews are often complemented by more innovative techniques . These novel approaches are designed to enhance the depth and breadth of data you can collect, offering a richer, more nuanced understanding of your research subject.

One such technique is the use of meta-frameworks that integrate various strategies for data collection. For instance, combining interviews, focus groups, observations, and analysis of documents or material culture can yield a comprehensive view of the research topic. This holistic approach not only provides diverse perspectives but also triangulates data, strengthening the validity of your findings.

To illustrate, consider the following list of innovative data gathering techniques that have emerged in qualitative research:

• Digital ethnography: Immersing in online communities to understand cultural practices.
• Social media analysis: Leveraging user-generated content for insights into public opinion.
• Mobile data collection: Utilizing apps and mobile devices to capture real-time data.
• Sensor-based research: Employing wearable technology to track physiological responses.

Each of these methods opens up new avenues for inquiry, allowing you to tailor your data collection to the specific needs of your study. Remember, the alignment of your research design with these methods is crucial to ensure ethical considerations are met and that your analysis methods are transparent and robust.

Analytical Frameworks and Their Applications

In your academic journey, you will encounter various analytical frameworks that serve as essential tools for dissecting complex problems and deriving meaningful insights. These frameworks guide the interpretation of data , ensuring that your conclusions are not only data-driven but also theoretically sound. For instance, when engaging in thematic analysis in qualitative research, you identify patterns and generate codes, which help in organizing themes and interpreting findings to gain deeper understanding of your data.

To effectively apply these frameworks, consider the following steps:

• Refine variables and implement controls to address data contradictions .
• Review assumptions and evaluate your research design for robustness.
• Identify discrepancies and analyze factors that may influence your results.
• Consider alternative explanations to ensure a comprehensive analysis.

Remember, the application of an analytical framework is not a one-size-fits-all solution. It requires a nuanced approach that aligns with your study's objectives and the nature of your data. By doing so, you can enhance the credibility and impact of your scholarly work.

Interplay Between Research Design and Method

How research design influences method choice.

When you embark on an academic study, the research design you choose lays the groundwork for the entire project. It is a blueprint that guides the selection of research methods, ensuring that the tools and techniques employed are well-suited to answer your research questions. The coherence between research design and methods is pivotal for the validity and reliability of your findings.

Consider the research design as a strategic framework that influences every decision in the methodological process . For instance, an experimental design necessitates specific methods such as controlled experiments and randomization to test hypotheses. In contrast, an exploratory study might lean towards observational methods or open-ended interviews to uncover new insights. The table below illustrates how different research designs align with corresponding methods:

By understanding the interplay between research design and methods, you can ensure that your approach is methodologically sound and tailored to your study's objectives. Acknowledging the limitations of your chosen methods is also crucial, as it opens the door to future research that may employ different or more robust methodologies to address the research problem more effectively.

Aligning Research Methods with Study Objectives

When you embark on your research journey, the alignment of your chosen methods with your study objectives is paramount. Your research methods must be intricately connected to your research questions and objectives to ensure that the outcomes are meaningful and directly address the core of your inquiry. This alignment is not only crucial for the integrity of your study but also for the justification of your methodological choices in your research proposal.

To achieve this, you must be concise and clear in defining your objectives and ensure that they are feasible within the scope of your chosen methods. Use action verbs to articulate your objectives and create a direct link to your methods. For example, if your objective is to 'examine the impact of social media on political opinions,' a qualitative method involving interviews might be more appropriate than a quantitative survey.

Here are some steps to help you align your methods with your study objectives:

• Define your research questions and objectives clearly.
• Select methods that are capable of addressing these questions and objectives.
• Justify your choice of methods by comparing them with alternatives and explaining their suitability.
• Ensure that your methods are feasible and can be effectively executed within the constraints of your study.

By meticulously aligning your research methods with your study objectives, you can enhance the credibility of your work and contribute to the scholarly conversation with robust findings.

Ensuring Coherence in Research Execution

To ensure coherence in your research execution, you must meticulously align your research methods with the overarching design of your study. Clearly link this design to your research objectives , ensuring a seamless connection between your goals and the methodologies you employ. Justify your methods and present the results in a manner that speaks directly to your research questions, using visual aids for clarity when necessary.

When analyzing and comparing findings, it is crucial to engage with the literature to identify patterns , trends, or gaps in knowledge. This step not only enriches your study but also reinforces the coherence of your research narrative. Remember, a coherent research execution transcends mere data collection; it involves a holistic approach that integrates all components of your study, from the literature review to the analytical frameworks.

To maintain this coherence, consider the following points:

• Acknowledge and explain any limitations that emerged during your study.
• Avoid overly elaborate explanations of conditions not directly relevant to your results.
• Cite references that support your choice of methodology.
• Consistently emphasize the relationship between your research question and the methodology.

Evaluating Research Methodologies in Academic Literature

Critical appraisal of methodological approaches.

When you engage in critical appraisal of methodological approaches, you are essentially evaluating the quality, reliability, and relevance of research in relation to your study's objectives. This process is crucial for ensuring that the findings you present are grounded in robust and credible evidence . It involves a thorough examination of the study's design, the appropriateness of the methods used, and the rigor of the analysis performed.

To effectively appraise a study's methodology, consider the following points in a structured manner:

• Describe each limitation in detailed but concise terms.
• Explain why each limitation exists and its potential impact on the study's findings.
• Assess whether the chosen methodology aligns with the research question and objectives.
• Determine the study's internal validity and how it affects the accuracy of the results.

Remember, the method you choose may introduce limitations that could influence the interpretation of your results. Acknowledge these limitations and discuss how a different or more robust methodology might address the research problem more effectively in future studies. The goal is not only to show what works but to demonstrate what doesn't, thereby contributing to the advancement of scholarly research.

Methodology Reporting Standards

In your scholarly journey, you will encounter the need to meticulously report your research methodology. This is not merely a procedural formality but a cornerstone of academic integrity and reproducibility. Ensure that your methodology is transparent and comprehensive , allowing peers to understand and evaluate the rigor of your work. To achieve this, consider the following points:

• Clearly articulate the rationale behind your choice of methodology, linking it to your research questions and objectives.
• Describe the procedures and techniques used for data collection and analysis, providing enough detail for replication.
• Discuss the limitations and challenges, such as those related to experimental research , which may include resource constraints or funding issues.
• Cite relevant literature to support your methodological choices, demonstrating your engagement with existing research.

By adhering to these standards, you contribute to the collective knowledge base, enabling others to build upon your work. Remember, a well-documented methodology enhances the credibility of your study and facilitates the advancement of your field.

Implications of Method Choice on Research Outcomes

The choice of research method can profoundly influence the outcomes of your study. Selecting an appropriate method is not merely a procedural step; it is a critical decision that aligns with the objectives of your research. For instance, qualitative methods might provide depth and context, while quantitative methods offer measurable and generalizable data. The implications of this choice extend to the validity, reliability, and generalizability of your findings.

Consider the case where a lack of prior research studies on the topic might limit the depth of your literature review and foundational understanding. This could be addressed by employing a method that allows for a more exploratory approach, such as in-depth interviews or thematic analysis. On the other hand, choosing the right experimental manipulation technique is crucial for valid results, especially when considering feasibility, resources, and ethics.

Your methodology should be defended rigorously , especially if it deviates from conventional approaches. Compare it with methodologies used in previous studies to highlight its contribution to the field. For example, a study on open science in healthcare research processes might employ a novel conceptual model that requires validation through specific methods not previously utilized.

In summary, the methodological choices you make have far-reaching implications for your research outcomes:

• They determine the type of data collected and its subsequent analysis.
• They influence the robustness of your conclusions.
• They affect the potential for your research to contribute to the broader academic discourse.

Advancing Research Practices: Methodology and Method Innovation

Emerging trends in research methodology.

As you delve into the realm of research, it's crucial to stay abreast of the emerging trends in research methodology . These trends not only reflect the evolving landscape of academic inquiry but also offer new avenues for data collection and analysis. One such trend is the increasing focus on diversity in research, which acknowledges the rich tapestry of human experiences and perspectives. In a recent survey, a significant majority of market researchers expressed a keen interest in incorporating diversity into their studies.

Another notable trend is the collaboration in experimental research , which enhances the design and execution of studies by pooling resources and expertise. This collaborative approach leads to more robust and impactful findings, benefiting the entire scientific community. Moreover, the application of artificial intelligence (AI) and machine learning (ML) in clinical development is revolutionizing the way data is gathered and analyzed, paving the way for innovative solutions in biotech and biopharma.

To give you a snapshot of the key themes and trends, consider the following list:

• Focus on emerging biotech and biopharma
• Applications of AI and ML in clinical development
• Collaboration and data sharing in experimental research
• Emphasis on diversity in market research
• Innovative strategies in oncology and CNS research

These trends underscore the dynamic nature of research methodologies and the importance of adapting to these changes to conduct relevant and effective studies.

Integrating New Methods into Established Designs

In the pursuit of academic excellence, you may find yourself at the crossroads of tradition and innovation. Integrating new methods into established designs is not merely about staying current; it's about enhancing the robustness of your research. When you introduce innovative techniques, you must ensure they align with the methodological frameworks already in place. This alignment is crucial for maintaining the integrity and coherence of your study.

Consider the example of mixed methods research , which combines qualitative and quantitative approaches. A sequential design might involve conducting qualitative interviews to explore a phenomenon, followed by a quantitative survey to measure its prevalence. Here's how you might structure this integration:

• Begin with a qualitative phase to gather in-depth insights.
• Use the findings to inform the design of a quantitative phase.
• Ensure that each phase complements the other, creating a cohesive whole.

By thoughtfully incorporating new methods, you can address research questions more comprehensively and produce findings that are both rich and generalizable. Remember, the goal is not to replace old with new, but to create a synergy that leverages the best of both worlds.

The Future of Research: Methodological Adaptations and Challenges

As you navigate the evolving landscape of academic research, you'll find that the future holds both challenges and opportunities for methodological innovation. The ability to adapt research methods to emerging trends is crucial for advancing knowledge and addressing complex problems. For instance, the Nature-based Solutions to societal challenges such as economic and social development or human health require a reimagined approach to research design and methods.

The debates surrounding methodological pluralism in fields like management scholarship underscore the need for diversity in research approaches. Whether it's bridging the gap between quantitative and qualitative research or embracing new technologies for data collection, the goal is to enhance the robustness and relevance of scholarly work. You must be prepared to confront unanticipated hurdles , which can, in fact, create opportunities for methodological adaptation , leading to alternative representations of research processes.

To ensure that your research remains at the forefront of academic inquiry, consider the following points:

• Acknowledge and address limitations in your current methodologies.
• Embrace interdisciplinary approaches to enrich your research design.
• Stay informed about innovative technologies and their potential impact on data gathering and analysis.

By doing so, you will not only contribute to the body of knowledge but also pave the way for future research endeavors that are resilient and responsive to societal needs.

Embark on a transformative journey with Research Rebels and revolutionize your thesis writing experience. Our meticulously crafted Thesis Action Plan and Academic Project Planner are designed to alleviate your anxiety and guide you through each step of your academic endeavors. With proven methodologies, easy-to-understand language, and lifetime updates, we ensure you stay ahead with the latest practices. Don't let stress and uncertainty hinder your progress. Visit our website now to claim your special offer and join the ranks of successful students who have mastered the art of thesis writing with ease and confidence.

In conclusion, understanding the distinction between research design and method is pivotal for the integrity and success of academic inquiry. Research design, the overarching framework of a study, provides the strategic blueprint that guides the selection of research methods—the specific tools and techniques employed to collect and analyze data. This article has elucidated the nuanced differences and interplay between these two fundamental components of research, emphasizing their individual and collective importance in constructing a robust and credible study. As scholars continue to navigate the complexities of research, a clear grasp of both research design and method will remain essential in the pursuit of knowledge and the advancement of various academic disciplines.

Frequently Asked Questions

What is the difference between research design and research methods.

Research design refers to the overall strategy and plan of action for the research project, outlining the procedures for collecting, measuring, and analyzing data. Research methods, on the other hand, are the specific techniques and tools used to gather and analyze data within the framework of the research design.

Can you give examples of research methods?

Yes, research methods include qualitative techniques like interviews and focus groups, quantitative methods such as surveys and experiments, and mixed-methods which combine both qualitative and quantitative approaches.

Why is research design important in academic studies?

Research design is crucial because it ensures that the research question is addressed in a systematic and coherent way, leading to valid and reliable results. It provides the structure that guides the entire research process.

How does research design influence method choice?

Research design sets the overall approach of the study, which in turn influences the choice of specific methods based on the type of data needed, the context of the study, and the research objectives.

What are innovative techniques in data gathering?

Innovative data gathering techniques include using big data analytics, social media analysis, mobile ethnography, eye-tracking, and biometric measurements, among others.

How can coherence be ensured in research execution?

Coherence in research execution can be ensured by aligning the research design, methods, and analysis techniques with the research objectives and by consistently revisiting the research questions to make sure they are being effectively addressed throughout the study.

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

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As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

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

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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Home » Research Design – Types, Methods and Examples

Research Design – Types, Methods and Examples

Table of Contents

Research Design

Definition:

Research design refers to the overall strategy or plan for conducting a research study. It outlines the methods and procedures that will be used to collect and analyze data, as well as the goals and objectives of the study. Research design is important because it guides the entire research process and ensures that the study is conducted in a systematic and rigorous manner.

Types of Research Design

Types of Research Design are as follows:

Descriptive Research Design

This type of research design is used to describe a phenomenon or situation. It involves collecting data through surveys, questionnaires, interviews, and observations. The aim of descriptive research is to provide an accurate and detailed portrayal of a particular group, event, or situation. It can be useful in identifying patterns, trends, and relationships in the data.

Correlational Research Design

Correlational research design is used to determine if there is a relationship between two or more variables. This type of research design involves collecting data from participants and analyzing the relationship between the variables using statistical methods. The aim of correlational research is to identify the strength and direction of the relationship between the variables.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This type of research design involves manipulating one variable and measuring the effect on another variable. It usually involves randomly assigning participants to groups and manipulating an independent variable to determine its effect on a dependent variable. The aim of experimental research is to establish causality.

Quasi-experimental Research Design

Quasi-experimental research design is similar to experimental research design, but it lacks one or more of the features of a true experiment. For example, there may not be random assignment to groups or a control group. This type of research design is used when it is not feasible or ethical to conduct a true experiment.

Case Study Research Design

Case study research design is used to investigate a single case or a small number of cases in depth. It involves collecting data through various methods, such as interviews, observations, and document analysis. The aim of case study research is to provide an in-depth understanding of a particular case or situation.

Longitudinal Research Design

Longitudinal research design is used to study changes in a particular phenomenon over time. It involves collecting data at multiple time points and analyzing the changes that occur. The aim of longitudinal research is to provide insights into the development, growth, or decline of a particular phenomenon over time.

Structure of Research Design

The format of a research design typically includes the following sections:

• Introduction : This section provides an overview of the research problem, the research questions, and the importance of the study. It also includes a brief literature review that summarizes previous research on the topic and identifies gaps in the existing knowledge.
• Research Questions or Hypotheses: This section identifies the specific research questions or hypotheses that the study will address. These questions should be clear, specific, and testable.
• Research Methods : This section describes the methods that will be used to collect and analyze data. It includes details about the study design, the sampling strategy, the data collection instruments, and the data analysis techniques.
• Data Collection: This section describes how the data will be collected, including the sample size, data collection procedures, and any ethical considerations.
• Data Analysis: This section describes how the data will be analyzed, including the statistical techniques that will be used to test the research questions or hypotheses.
• Results : This section presents the findings of the study, including descriptive statistics and statistical tests.
• Discussion and Conclusion : This section summarizes the key findings of the study, interprets the results, and discusses the implications of the findings. It also includes recommendations for future research.
• References : This section lists the sources cited in the research design.

Example of Research Design

An Example of Research Design could be:

Research question: Does the use of social media affect the academic performance of high school students?

Research design:

• Research approach : The research approach will be quantitative as it involves collecting numerical data to test the hypothesis.
• Research design : The research design will be a quasi-experimental design, with a pretest-posttest control group design.
• Sample : The sample will be 200 high school students from two schools, with 100 students in the experimental group and 100 students in the control group.
• Data collection : The data will be collected through surveys administered to the students at the beginning and end of the academic year. The surveys will include questions about their social media usage and academic performance.
• Data analysis : The data collected will be analyzed using statistical software. The mean scores of the experimental and control groups will be compared to determine whether there is a significant difference in academic performance between the two groups.
• Limitations : The limitations of the study will be acknowledged, including the fact that social media usage can vary greatly among individuals, and the study only focuses on two schools, which may not be representative of the entire population.
• Ethical considerations: Ethical considerations will be taken into account, such as obtaining informed consent from the participants and ensuring their anonymity and confidentiality.

How to Write Research Design

Writing a research design involves planning and outlining the methodology and approach that will be used to answer a research question or hypothesis. Here are some steps to help you write a research design:

• Define the research question or hypothesis : Before beginning your research design, you should clearly define your research question or hypothesis. This will guide your research design and help you select appropriate methods.
• Select a research design: There are many different research designs to choose from, including experimental, survey, case study, and qualitative designs. Choose a design that best fits your research question and objectives.
• Develop a sampling plan : If your research involves collecting data from a sample, you will need to develop a sampling plan. This should outline how you will select participants and how many participants you will include.
• Define variables: Clearly define the variables you will be measuring or manipulating in your study. This will help ensure that your results are meaningful and relevant to your research question.
• Choose data collection methods : Decide on the data collection methods you will use to gather information. This may include surveys, interviews, observations, experiments, or secondary data sources.
• Create a data analysis plan: Develop a plan for analyzing your data, including the statistical or qualitative techniques you will use.
• Consider ethical concerns : Finally, be sure to consider any ethical concerns related to your research, such as participant confidentiality or potential harm.

When to Write Research Design

Research design should be written before conducting any research study. It is an important planning phase that outlines the research methodology, data collection methods, and data analysis techniques that will be used to investigate a research question or problem. The research design helps to ensure that the research is conducted in a systematic and logical manner, and that the data collected is relevant and reliable.

Ideally, the research design should be developed as early as possible in the research process, before any data is collected. This allows the researcher to carefully consider the research question, identify the most appropriate research methodology, and plan the data collection and analysis procedures in advance. By doing so, the research can be conducted in a more efficient and effective manner, and the results are more likely to be valid and reliable.

Purpose of Research Design

The purpose of research design is to plan and structure a research study in a way that enables the researcher to achieve the desired research goals with accuracy, validity, and reliability. Research design is the blueprint or the framework for conducting a study that outlines the methods, procedures, techniques, and tools for data collection and analysis.

Some of the key purposes of research design include:

• Providing a clear and concise plan of action for the research study.
• Ensuring that the research is conducted ethically and with rigor.
• Maximizing the accuracy and reliability of the research findings.
• Minimizing the possibility of errors, biases, or confounding variables.
• Ensuring that the research is feasible, practical, and cost-effective.
• Determining the appropriate research methodology to answer the research question(s).
• Identifying the sample size, sampling method, and data collection techniques.
• Determining the data analysis method and statistical tests to be used.
• Facilitating the replication of the study by other researchers.
• Enhancing the validity and generalizability of the research findings.

Applications of Research Design

There are numerous applications of research design in various fields, some of which are:

• Social sciences: In fields such as psychology, sociology, and anthropology, research design is used to investigate human behavior and social phenomena. Researchers use various research designs, such as experimental, quasi-experimental, and correlational designs, to study different aspects of social behavior.
• Education : Research design is essential in the field of education to investigate the effectiveness of different teaching methods and learning strategies. Researchers use various designs such as experimental, quasi-experimental, and case study designs to understand how students learn and how to improve teaching practices.
• Health sciences : In the health sciences, research design is used to investigate the causes, prevention, and treatment of diseases. Researchers use various designs, such as randomized controlled trials, cohort studies, and case-control studies, to study different aspects of health and healthcare.
• Business : Research design is used in the field of business to investigate consumer behavior, marketing strategies, and the impact of different business practices. Researchers use various designs, such as survey research, experimental research, and case studies, to study different aspects of the business world.
• Engineering : In the field of engineering, research design is used to investigate the development and implementation of new technologies. Researchers use various designs, such as experimental research and case studies, to study the effectiveness of new technologies and to identify areas for improvement.

Advantages of Research Design

Here are some advantages of research design:

• Systematic and organized approach : A well-designed research plan ensures that the research is conducted in a systematic and organized manner, which makes it easier to manage and analyze the data.
• Clear objectives: The research design helps to clarify the objectives of the study, which makes it easier to identify the variables that need to be measured, and the methods that need to be used to collect and analyze data.
• Minimizes bias: A well-designed research plan minimizes the chances of bias, by ensuring that the data is collected and analyzed objectively, and that the results are not influenced by the researcher’s personal biases or preferences.
• Efficient use of resources: A well-designed research plan helps to ensure that the resources (time, money, and personnel) are used efficiently and effectively, by focusing on the most important variables and methods.
• Replicability: A well-designed research plan makes it easier for other researchers to replicate the study, which enhances the credibility and reliability of the findings.
• Validity: A well-designed research plan helps to ensure that the findings are valid, by ensuring that the methods used to collect and analyze data are appropriate for the research question.
• Generalizability : A well-designed research plan helps to ensure that the findings can be generalized to other populations, settings, or situations, which increases the external validity of the study.

Research Design Vs Research Methodology

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What is the difference between a "research plan" and a "research proposal"?

Online sources often use " research plan " and " research proposal " interchangeably.

Two months after getting accepted into a PhD program, I was asked to do a research plan. Is this the same as doing a research proposal?

• research-proposal

• What does your advisor say? –  Bill Barth Commented Mar 11, 2015 at 12:15
• I would say, a research proposal is what you would do applying for a PhD position or for funding to explain what you want to do, a research plan is what you would do to show you know where you a going with your research. –  skymningen Commented Mar 11, 2015 at 12:45
• 2 Ask older students in your program. If it's a general requirement, then they must have done one as well, so they can tell you what to do. –  Wolfgang Bangerth Commented Mar 11, 2015 at 13:06
• Even confined to only one term, each of them can be interpreted differently by different institutions. The best bet and ask for a style/format guide from the department, or consult previous students' submissions. –  Penguin_Knight Commented Mar 11, 2015 at 22:08

Neither a research plan nor a research proposal is a "super specific thing you need to know about".

A proposal, on any subject, generally includes things like objectives, background, potential challenges, and a vague schedule.

A plan often includes all of the above, in greater detail, as well as necessary resources, a specific schedule with milestones, and perhaps additional project specific elements (e.g. which programming languages you might use).

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Introducing Research Designs

• First Online: 10 November 2021

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• Stefan Hunziker 3 &
• Michael Blankenagel 3  

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We define research design as a combination of decisions within a research process. These decisions enable us to make a specific type of argument by answering the research question. It is the implementation plan for the research study that allows reaching the desired (type of) conclusion. Different research designs make it possible to draw different conclusions. These conclusions produce various kinds of intellectual contributions. As all kinds of intellectual contributions are necessary to increase the body of knowledge, no research design is inherently better than another, only more appropriate to answer a specific question.

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Hunziker, S., Blankenagel, M. (2021). Introducing Research Designs. In: Research Design in Business and Management. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-34357-6_1

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Frequently asked questions

What’s the difference between a research plan and a research proposal.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

Frequently asked questions: Dissertation

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

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Our APA experts default to APA 7 for editing and formatting. For the Citation Editing Service you are able to choose between APA 6 and 7.

Yes, if your document is longer than 20,000 words, you will get a sample of approximately 2,000 words. This sample edit gives you a first impression of the editor’s editing style and a chance to ask questions and give feedback.

How does the sample edit work?

You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

Read more about how the sample edit works

Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

However, we cannot guarantee that the same editor will be available. Your chances are higher if

• You send us your text as soon as possible and
• You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the  Scribbr Improvement Model  and will deliver high-quality work.

Yes, our editors also work during the weekends and holidays.

Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

• You can learn a lot by looking at the mistakes you made.
• The editors don’t only change the text – they also place comments when sentences or sometimes even entire paragraphs are unclear. You should read through these comments and take into account your editor’s tips and suggestions.
• With a final read-through, you can make sure you’re 100% happy with your text before you submit!

You choose the turnaround time when ordering. We can return your dissertation within 24 hours , 3 days or 1 week . These timescales include weekends and holidays. As soon as you’ve paid, the deadline is set, and we guarantee to meet it! We’ll notify you by text and email when your editor has completed the job.

Very large orders might not be possible to complete in 24 hours. On average, our editors can complete around 13,000 words in a day while maintaining our high quality standards. If your order is longer than this and urgent, contact us to discuss possibilities.

Always leave yourself enough time to check through the document and accept the changes before your submission deadline.

Scribbr is specialised in editing study related documents. We check:

• Graduation projects
• Dissertations
• Admissions essays
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• Process reports
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The fastest turnaround time is 24 hours.

You can upload your document at any time and choose between four deadlines:

At Scribbr, we promise to make every customer 100% happy with the service we offer. Our philosophy: Your complaint is always justified – no denial, no doubts.

Our customer support team is here to find the solution that helps you the most, whether that’s a free new edit or a refund for the service.

Yes, in the order process you can indicate your preference for American, British, or Australian English .

If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.

Research Methods vs. Research Design — What's the Difference?

Difference Between Research Methods and Research Design

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