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Dissertation Methodology – Structure, Example and Writing Guide

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Dissertation Methodology

In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.

Here are the basic elements that are typically included in a dissertation methodology:

Introduction : This section should explain the importance and goals of your research .
Research Design : Outline your research approach and why it’s appropriate for your study. You might be conducting an experimental research, a qualitative research, a quantitative research, or a mixed-methods research.
Data Collection : This section should detail the methods you used to collect your data. Did you use surveys, interviews, observations, etc.? Why did you choose these methods? You should also include who your participants were, how you recruited them, and any ethical considerations.
Data Analysis : Explain how you intend to analyze the data you collected. This could include statistical analysis, thematic analysis, content analysis, etc., depending on the nature of your study.
Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your study. For instance, you could discuss measures taken to reduce bias, how you ensured that your measures accurately capture what they were intended to, or how you will handle any limitations in your study.
Ethical Considerations : This is where you state how you have considered ethical issues related to your research, how you have protected the participants’ rights, and how you have complied with the relevant ethical guidelines.
Limitations : Acknowledge any limitations of your methodology, including any biases and constraints that might have affected your study.
Summary : Recap the key points of your methodology chapter, highlighting the overall approach and rationalization of your research.

Types of Dissertation Methodology

The type of methodology you choose for your dissertation will depend on the nature of your research question and the field you’re working in. Here are some of the most common types of methodologies used in dissertations:

Experimental Research

This involves creating an experiment that will test your hypothesis. You’ll need to design an experiment, manipulate variables, collect data, and analyze that data to draw conclusions. This is commonly used in fields like psychology, biology, and physics.

Survey Research

This type of research involves gathering data from a large number of participants using tools like questionnaires or surveys. It can be used to collect a large amount of data and is often used in fields like sociology, marketing, and public health.

Qualitative Research

This type of research is used to explore complex phenomena that can’t be easily quantified. Methods include interviews, focus groups, and observations. This methodology is common in fields like anthropology, sociology, and education.

Quantitative Research

Quantitative research uses numerical data to answer research questions. This can include statistical, mathematical, or computational techniques. It’s common in fields like economics, psychology, and health sciences.

Case Study Research

This type of research involves in-depth investigation of a particular case, such as an individual, group, or event. This methodology is often used in psychology, social sciences, and business.

Mixed Methods Research

This combines qualitative and quantitative research methods in a single study. It’s used to answer more complex research questions and is becoming more popular in fields like social sciences, health sciences, and education.

Action Research

This type of research involves taking action and then reflecting upon the results. This cycle of action-reflection-action continues throughout the study. It’s often used in fields like education and organizational development.

Longitudinal Research

This type of research involves studying the same group of individuals over an extended period of time. This could involve surveys, observations, or experiments. It’s common in fields like psychology, sociology, and medicine.

Ethnographic Research

This type of research involves the in-depth study of people and cultures. Researchers immerse themselves in the culture they’re studying to collect data. This is often used in fields like anthropology and social sciences.

Structure of Dissertation Methodology

The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements:

Introduction : Briefly introduce your overall approach to the research. Explain what you plan to explore and why it’s important.
Research Design/Approach : Describe your overall research design. This can be qualitative, quantitative, or mixed methods. Explain the rationale behind your chosen design and why it is suitable for your research questions or hypotheses.
Data Collection Methods : Detail the methods you used to collect your data. You should include what type of data you collected, how you collected it, and why you chose this method. If relevant, you can also include information about your sample population, such as how many people participated, how they were chosen, and any relevant demographic information.
Data Analysis Methods : Explain how you plan to analyze your collected data. This will depend on the nature of your data. For example, if you collected quantitative data, you might discuss statistical analysis techniques. If you collected qualitative data, you might discuss coding strategies, thematic analysis, or narrative analysis.
Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your research. This might include steps you took to reduce bias or increase the accuracy of your measurements.
Ethical Considerations : If relevant, discuss any ethical issues associated with your research. This might include how you obtained informed consent from participants, how you ensured participants’ privacy and confidentiality, or any potential conflicts of interest.
Limitations : Acknowledge any limitations in your research methodology. This could include potential sources of bias, difficulties with data collection, or limitations in your analysis methods.
Summary/Conclusion : Briefly summarize the key points of your methodology, emphasizing how it helps answer your research questions or hypotheses.

How to Write Dissertation Methodology

Writing a dissertation methodology requires you to be clear and precise about the way you’ve carried out your research. It’s an opportunity to convince your readers of the appropriateness and reliability of your approach to your research question. Here is a basic guideline on how to write your methodology section:

1. Introduction

Start your methodology section by restating your research question(s) or objective(s). This ensures your methodology directly ties into the aim of your research.

2. Approach

Identify your overall approach: qualitative, quantitative, or mixed methods. Explain why you have chosen this approach.

Qualitative methods are typically used for exploratory research and involve collecting non-numerical data. This might involve interviews, observations, or analysis of texts.
Quantitative methods are used for research that relies on numerical data. This might involve surveys, experiments, or statistical analysis.
Mixed methods use a combination of both qualitative and quantitative research methods.

3. Research Design

Describe the overall design of your research. This could involve explaining the type of study (e.g., case study, ethnography, experimental research, etc.), how you’ve defined and measured your variables, and any control measures you’ve implemented.

4. Data Collection

Explain in detail how you collected your data.

If you’ve used qualitative methods, you might detail how you selected participants for interviews or focus groups, how you conducted observations, or how you analyzed existing texts.
If you’ve used quantitative methods, you might detail how you designed your survey or experiment, how you collected responses, and how you ensured your data is reliable and valid.

5. Data Analysis

Describe how you analyzed your data.

If you’re doing qualitative research, this might involve thematic analysis, discourse analysis, or grounded theory.
If you’re doing quantitative research, you might be conducting statistical tests, regression analysis, or factor analysis.

Discuss any ethical issues related to your research. This might involve explaining how you obtained informed consent, how you’re protecting participants’ privacy, or how you’re managing any potential harms to participants.

7. Reliability and Validity

Discuss the steps you’ve taken to ensure the reliability and validity of your data.

Reliability refers to the consistency of your measurements, and you might discuss how you’ve piloted your instruments or used standardized measures.
Validity refers to the accuracy of your measurements, and you might discuss how you’ve ensured your measures reflect the concepts they’re supposed to measure.

8. Limitations

Every study has its limitations. Discuss the potential weaknesses of your chosen methods and explain any obstacles you faced in your research.

9. Conclusion

Summarize the key points of your methodology, emphasizing how it helps to address your research question or objective.

Example of Dissertation Methodology

An Example of Dissertation Methodology is as follows:

Chapter 3: Methodology

Introduction

This chapter details the methodology adopted in this research. The study aimed to explore the relationship between stress and productivity in the workplace. A mixed-methods research design was used to collect and analyze data.

Research Design

This study adopted a mixed-methods approach, combining quantitative surveys with qualitative interviews to provide a comprehensive understanding of the research problem. The rationale for this approach is that while quantitative data can provide a broad overview of the relationships between variables, qualitative data can provide deeper insights into the nuances of these relationships.

Data Collection Methods

Quantitative Data Collection : An online self-report questionnaire was used to collect data from participants. The questionnaire consisted of two standardized scales: the Perceived Stress Scale (PSS) to measure stress levels and the Individual Work Productivity Questionnaire (IWPQ) to measure productivity. The sample consisted of 200 office workers randomly selected from various companies in the city.

Qualitative Data Collection : Semi-structured interviews were conducted with 20 participants chosen from the initial sample. The interview guide included questions about participants’ experiences with stress and how they perceived its impact on their productivity.

Data Analysis Methods

Quantitative Data Analysis : Descriptive and inferential statistics were used to analyze the survey data. Pearson’s correlation was used to examine the relationship between stress and productivity.

Qualitative Data Analysis : Interviews were transcribed and subjected to thematic analysis using NVivo software. This process allowed for identifying and analyzing patterns and themes regarding the impact of stress on productivity.

Reliability and Validity

To ensure reliability and validity, standardized measures with good psychometric properties were used. In qualitative data analysis, triangulation was employed by having two researchers independently analyze the data and then compare findings.

Ethical Considerations

All participants provided informed consent prior to their involvement in the study. They were informed about the purpose of the study, their rights as participants, and the confidentiality of their responses.

Limitations

The main limitation of this study is its reliance on self-report measures, which can be subject to biases such as social desirability bias. Moreover, the sample was drawn from a single city, which may limit the generalizability of the findings.

Where to Write Dissertation Methodology

In a dissertation or thesis, the Methodology section usually follows the Literature Review. This placement allows the Methodology to build upon the theoretical framework and existing research outlined in the Literature Review, and precedes the Results or Findings section. Here’s a basic outline of how most dissertations are structured:

Acknowledgements
Literature Review (or it may be interspersed throughout the dissertation)
Methodology
Results/Findings
References/Bibliography

In the Methodology chapter, you will discuss the research design, data collection methods, data analysis methods, and any ethical considerations pertaining to your study. This allows your readers to understand how your research was conducted and how you arrived at your results.

Advantages of Dissertation Methodology

The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation:

Clarifies Your Research Approach : The methodology section explains how you plan to tackle your research question, providing a clear plan for data collection and analysis.
Enables Replication : A detailed methodology allows other researchers to replicate your study. Replication is an important aspect of scientific research because it provides validation of the study’s results.
Demonstrates Rigor : A well-written methodology shows that you’ve thought critically about your research methods and have chosen the most appropriate ones for your research question. This adds credibility to your study.
Enhances Transparency : Detailing your methods allows readers to understand the steps you took in your research. This increases the transparency of your study and allows readers to evaluate potential biases or limitations.
Helps in Addressing Research Limitations : In your methodology section, you can acknowledge and explain the limitations of your research. This is important as it shows you understand that no research method is perfect and there are always potential weaknesses.
Facilitates Peer Review : A detailed methodology helps peer reviewers assess the soundness of your research design. This is an important part of the publication process if you aim to publish your dissertation in a peer-reviewed journal.
Establishes the Validity and Reliability : Your methodology section should also include a discussion of the steps you took to ensure the validity and reliability of your measurements, which is crucial for establishing the overall quality of your research.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Writing your Dissertation: Methodology

A key part of your dissertation or thesis is the methodology. This is not quite the same as ‘methods’.

The methodology describes the broad philosophical underpinning to your chosen research methods, including whether you are using qualitative or quantitative methods, or a mixture of both, and why.

You should be clear about the academic basis for all the choices of research methods that you have made. ' I was interested ' or ' I thought... ' is not enough; there must be good academic reasons for your choice.

What to Include in your Methodology

If you are submitting your dissertation in sections, with the methodology submitted before you actually undertake the research, you should use this section to set out exactly what you plan to do.

The methodology should be linked back to the literature to explain why you are using certain methods, and the academic basis of your choice.

If you are submitting as a single thesis, then the Methodology should explain what you did, with any refinements that you made as your work progressed. Again, it should have a clear academic justification of all the choices that you made and be linked back to the literature.

Common Research Methods for the Social Sciences

There are numerous research methods that can be used when researching scientific subjects, you should discuss which are the most appropriate for your research with your supervisor.

The following research methods are commonly used in social science, involving human subjects:

One of the most flexible and widely used methods for gaining qualitative information about people’s experiences, views and feelings is the interview.

An interview can be thought of as a guided conversation between a researcher (you) and somebody from whom you wish to learn something (often referred to as the ‘informant’).

The level of structure in an interview can vary, but most commonly interviewers follow a semi-structured format. This means that the interviewer will develop a guide to the topics that he or she wishes to cover in the conversation, and may even write out a number of questions to ask.

However, the interviewer is free to follow different paths of conversation that emerge over the course of the interview, or to prompt the informant to clarify and expand on certain points. Therefore, interviews are particularly good tools for gaining detailed information where the research question is open-ended in terms of the range of possible answers.

Interviews are not particularly well suited for gaining information from large numbers of people. Interviews are time-consuming, and so careful attention needs to be given to selecting informants who will have the knowledge or experiences necessary to answer the research question.

See our page: Interviews for Research for more information.

Observations

If a researcher wants to know what people do under certain circumstances, the most straightforward way to get this information is sometimes simply to watch them under those circumstances.

Observations can form a part of either quantitative or qualitative research. For instance, if a researcher wants to determine whether the introduction of a traffic sign makes any difference to the number of cars slowing down at a dangerous curve, she or he could sit near the curve and count the number of cars that do and do not slow down. Because the data will be numbers of cars, this is an example of quantitative observation.

A researcher wanting to know how people react to a billboard advertisement might spend time watching and describing the reactions of the people. In this case, the data would be descriptive , and would therefore be qualitative.

There are a number of potential ethical concerns that can arise with an observation study. Do the people being studied know that they are under observation? Can they give their consent? If some people are unhappy with being observed, is it possible to ‘remove’ them from the study while still carrying out observations of the others around them?

See our page: Observational Research and Secondary Data for more information.

Questionnaires

If your intended research question requires you to collect standardised (and therefore comparable) information from a number of people, then questionnaires may be the best method to use.

Questionnaires can be used to collect both quantitative and qualitative data, although you will not be able to get the level of detail in qualitative responses to a questionnaire that you could in an interview.

Questionnaires require a great deal of care in their design and delivery, but a well-developed questionnaire can be distributed to a much larger number of people than it would be possible to interview.

Questionnaires are particularly well suited for research seeking to measure some parameters for a group of people (e.g., average age, percentage agreeing with a proposition, level of awareness of an issue), or to make comparisons between groups of people (e.g., to determine whether members of different generations held the same or different views on immigration).

See our page: Surveys and Survey Design for more information.

Documentary Analysis

Documentary analysis involves obtaining data from existing documents without having to question people through interview, questionnaires or observe their behaviour. Documentary analysis is the main way that historians obtain data about their research subjects, but it can also be a valuable tool for contemporary social scientists.

Documents are tangible materials in which facts or ideas have been recorded. Typically, we think of items written or produced on paper, such as newspaper articles, Government policy records, leaflets and minutes of meetings. Items in other media can also be the subject of documentary analysis, including films, songs, websites and photographs.

Documents can reveal a great deal about the people or organisation that produced them and the social context in which they emerged.

Some documents are part of the public domain and are freely accessible, whereas other documents may be classified, confidential or otherwise unavailable to public access. If such documents are used as data for research, the researcher must come to an agreement with the holder of the documents about how the contents can and cannot be used and how confidentiality will be preserved.

How to Choose your Methodology and Precise Research Methods

Your methodology should be linked back to your research questions and previous research.

Visit your university or college library and ask the librarians for help; they should be able to help you to identify the standard research method textbooks in your field. See also our section on Research Methods for some further ideas.

Such books will help you to identify your broad research philosophy, and then choose methods which relate to that. This section of your dissertation or thesis should set your research in the context of its theoretical underpinnings.

The methodology should also explain the weaknesses of your chosen approach and how you plan to avoid the worst pitfalls, perhaps by triangulating your data with other methods, or why you do not think the weakness is relevant.

For every philosophical underpinning, you will almost certainly be able to find researchers who support it and those who don’t.

Use the arguments for and against expressed in the literature to explain why you have chosen to use this methodology or why the weaknesses don’t matter here.

Structuring your Methodology

It is usually helpful to start your section on methodology by setting out the conceptual framework in which you plan to operate with reference to the key texts on that approach.

You should be clear throughout about the strengths and weaknesses of your chosen approach and how you plan to address them. You should also note any issues of which to be aware, for example in sample selection or to make your findings more relevant.

You should then move on to discuss your research questions, and how you plan to address each of them.

This is the point at which to set out your chosen research methods, including their theoretical basis, and the literature supporting them. You should make clear whether you think the method is ‘tried and tested’ or much more experimental, and what kind of reliance you could place on the results. You will also need to discuss this again in the discussion section.

Your research may even aim to test the research methods, to see if they work in certain circumstances.

You should conclude by summarising your research methods, the underpinning approach, and what you see as the key challenges that you will face in your research. Again, these are the areas that you will want to revisit in your discussion.

Your methodology, and the precise methods that you choose to use in your research, are crucial to its success.

It is worth spending plenty of time on this section to ensure that you get it right. As always, draw on the resources available to you, for example by discussing your plans in detail with your supervisor who may be able to suggest whether your approach has significant flaws which you could address in some way.

Continue to: Research Methods Designing Research

See Also: Dissertation: Results and Discussion Writing a Literature Review | Writing a Research Proposal Writing a Dissertation: The Introduction

Writing The Methodology Chapter

5 Time-Saving Tips & Tools

By: David Phair (PhD) and Amy Murdock (PhD) | July 2022

The methodology chapter is a crucial part of your dissertation or thesis – it’s where you provide context and justification for your study’s design. This in turn demonstrates your understanding of research theory, which is what earns you marks .

Over the years, we’ve helped thousands of students navigate this tricky section of the research process. In this post, we’ll share 5 time-saving tips to help you effectively write up your research methodology chapter .

Overview: Writing The Methodology Chapter

Develop a (rough) outline before you start writing
Draw inspiration from similar studies in your topic area
Justify every research design choice that you make
Err on the side of too much detail , rather than too little
Back up every design choice by referencing literature

1. Develop an outline before you start writing

The first thing to keep in mind when writing your methodology chapter (and the rest of your dissertation) is that it’s always a good idea to sketch out a rough outline of what you are going to write about before you start writing . This will ensure that you stay focused and have a clear structural logic – thereby making the writing process simpler and faster.

An easy method of finding a structure for this chapter is to use frameworks that already exist, such as Saunder’s “ research onion ” as an example. Alternatively, there are many free methodology chapter templates for you to use as a starting point, so don’t feel like you have to create a new one from scratch.

Next, you’ll want to consider what your research approach is , and how you can break it down from a top-down angle, i.e., from the philosophical down to the concrete/tactical level. For example, you’ll need to articulate the following:

Are you using a positivist , interpretivist , or pragmatist approach ?
Are you using inductive or deductive reasoning?
Are you using a qualitative , quantitative, or mixed methods study?

Keep these questions front of mind to ensure that you have a clear, well-aligned line of argument that will maintain your chapter’s internal and external consistency.

Remember, it’s okay if you feel overwhelmed when you first start the methodology chapter. Nobody is born with an innate knowledge of how to do this, so be prepared for the learning curve associated with new research projects. It’s no small task to write up a dissertation or thesis, so be kind to yourself!

Starting the process with a chapter outline will help keep your writing focused and ensure that the chapter has a clear structural logic.

2. Take inspiration from other studies

Generally, there are plenty of existing journal articles that will share similar methodological approaches to your study. With any luck, there will also be existing dissertations and theses that adopt a similar methodological approach and topic. So, consider taking inspiration from these studies to help curate the contents of your methodology chapter.

Students often find it difficult to choose what content to include in the methodology chapter and what to leave for the appendix. By reviewing other studies with similar approaches, you will get a clearer sense of your discipline’s norms and characteristics . This will help you, especially in terms of deciding on the structure and depth of discussion.

While you can draw inspiration from other studies, remember that it’s vital to pay close attention to your university’s specific guidelines, so you can anticipate departmental expectations of this section’s layout and content (and make it easier to work with your supervisor). Doing this is also a great way to figure out how in-depth your discussion should be. For example, word-count guidelines can help you decide whether to include or omit certain information.

Need a helping hand?

3. Justify every design choice you make

The golden rule of the methodology chapter is that you need to justify each and every design choice that you make, no matter how small or inconsequential it may seem. We often see that students merely state what they did instead of why they did what they did – and this costs them marks.

Keep in mind that you need to illustrate the strength of your study’s methodological foundation. By discussing the “what”, “why” and “how” of your choices, you demonstrate your understanding of research design and simultaneously justify the relevancy and efficacy of your methodology – both of which will earn you marks.

It’s never an easy task to conduct research. So, it’s seldom the case that you’ll be able to use the very best possible methodology for your research (e.g. due to time or budgetary constraints ). That’s okay – but make sure that you explain and justify your use of an alternate methodology to help justify your approach.

Ultimately, if you don’t justify and explain the logic behind each of your choices, your marker will have to assume that you simply didn’t know any better . So, make sure that you justify every choice, especially when it is a subpar choice (due to a practical constraint, for example). You can see an example of how this is done here.

The golden rule of the methodology chapter is that you need to justify each and every design choice that you make, no matter how small.

4. Err on the side of too much detail

We often see a tendency in students to mistakenly give more of an overview of their methodology instead of a step-by-step breakdown . Since the methodology chapter needs to be detailed enough for another researcher to replicate your study, your chapter should be particularly granular in terms of detail.

Whether you’re doing a qualitative or quantitative study, it’s crucial to convey rigor in your research. You can do this by being especially detailed when you discuss your data, so be absolutely clear about your:

Sampling strategy
Data collection method(s)
Data preparation
Analysis technique(s)

As you will likely face an extensive period of editing at your supervisor/reviewer’s direction, you’ll make it much easier for yourself if you have more information than you’d need. Some supervisors expect extensive detail around a certain aspect of your dissertation (like your research philosophy), while others may not expect it at all.

Remember, it’s quicker and easier to remove/ trim down information than it is to add information after the fact, so take the time to show your supervisor that you know what you’re talking about (methodologically) and you’re doing your best to be rigorous in your research.

The methodology chapter needs to be detailed enough information for another researcher to replicate your study, so don't be shy on detail.

5. Provide citations to support each design choice

Related to the issue of poor justification (tip #3), it’s important include high-quality academic citations to support the justification of your design choices. In other words, it’s not enough to simply explain why you chose a specific approach – you need to support each justification with reference to academic material.

Simply put, you should avoid thinking of your methodology chapter as a citation-less section in your dissertation. As with your literature review, your methods section must include citations for every decision you make, since you are building on prior research. You must show that you are making decisions based on methods that are proven to be effective, and not just because you “feel” that they are effective.

When considering the source of your citations, you should stick to peer-reviewed academic papers and journals and avoid using websites or blog posts (like us, hehe). Doing this will demonstrate that you are familiar with the literature and that you are factoring in what credible academics have to say about your methodology.

As a final tip, it’s always a good idea to cite as you go . If you leave this for the end, then you’ll end up spending a lot of precious time retracing your steps to find your citations and risk losing track of them entirely. So, be proactive and drop in those citations as you write up . You’ll thank yourself later!

Let’s Recap…

In this post, we covered 5 time-saving tips for writing up the methodology chapter:

Look at similar studies in your topic area
Justify every design choice that you make
Back up every design choice by referencing methodology literature

If you’ve got any questions relating to the methodology chapter, feel free to drop a comment below. Alternatively, if you’re interested in getting 1-on-1 help with your thesis or dissertation, be sure to check out our private coaching service .

Psst… there’s more (for free)

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

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Writing the Dissertation - Guides for Success: The Methodology

Writing the Dissertation Homepage
Overview and Planning
The Literature Review
The Methodology
The Results and Discussion
The Conclusion
The Abstract
Getting Started
What to Avoid

Overview of writing the methodology

The methodology chapter precisely outlines the research method(s) employed in your dissertation and considers any relevant decisions you made, and challenges faced, when conducting your research. Getting this right is crucial because it lays the foundation for what’s to come: your results and discussion.

Disciplinary differences

Please note: this guide is not specific to any one discipline. The methodology can vary depending on the nature of the research and the expectations of the school or department. Please adapt the following advice to meet the demands of your dissertation and the expectations of your school or department. Consult your supervisor for further guidance; you can also check out our Writing Across Subjects guide .

Guide contents

As part of the Writing the Dissertation series, this guide covers the most common conventions found in a methodology chapter, giving you the necessary knowledge, tips and guidance needed to impress your markers! The sections are organised as follows:

Getting Started - Defines the methodology and its core characteristics.
Structure - Provides a detailed walk-through of common subsections or components of the methodology.
What to Avoid - Covers a few frequent mistakes you'll want to...avoid!
FAQs - Guidance on first- vs. third-person, secondary literature and more.
Checklist - Includes a summary of key points and a self-evaluation checklist.

Training and tools

The Academic Skills team has recorded a Writing the Dissertation workshop series to help you with each section of a standard dissertation, including a video on writing the method/methodology .
For more on methods and methodologies, you can check out USC's methodology research guide and Huddersfield's guide to writing the methodology of an undergraduate dissertation .
The dissertation planner tool can help you think through the timeline for planning, research, drafting and editing.
iSolutions offers training and a Word template to help you digitally format and structure your dissertation.

What is the methodology?

The methodology of a dissertation is like constructing a house of cards. Having strong and stable foundations for your research relies on your ability to make informed and rational choices about the design of your study. Everything from this point on – your results and discussion – rests on these decisions, like the bottom layer of a house of cards.

The methodology is where you explicitly state, in relevant detail, how you conduced your study in direct response to your research question(s) and/or hypotheses. You should work through the linear process of devising your study to implementing it, covering the important choices you made and any potential obstacles you faced along the way.

Methods or methodology?

Some disciplines refer to this chapter as the research methods , whilst others call it the methodology . The two are often used interchangeably, but they are slightly different. The methods chapter outlines the techniques used to conduct the research and the specific steps taken throughout the research process. The methodology also outlines how the research was conducted, but is particularly interested in the philosophical underpinning that shapes the research process. As indicated by the suffix, -ology , meaning the study of something, the methodology is like the study of research, as opposed to simply stating how the research was conducted.

This guide focuses on the methodology, as opposed to the methods, although the content and guidance can be tailored to a methods chapter. Every dissertation is different and every methodology has its own nuances, so ensure you adapt the content here to your research and always consult your supervisor for more detailed guidance.

What are my markers looking for?

Your markers are looking for your understanding of the complex process behind original (see definition) research. They are assessing your ability to...

Demonstrate an understanding of the impact that methodological choices can have on the reliability and validity of your findings, meaning you should engage with ‘why’ you did that, as opposed to simply ‘what’ you did.
Make informed methodological choices that clearly relate to your research question(s).

But what does it mean to engage in 'original' research? Originality doesn’t strictly mean you should be inventing something entirely new. Originality comes in many forms, from updating the application of a theory, to adapting a previous experiment for new purposes – it’s about making a worthwhile contribution.

Structuring your methodology

The methodology chapter should outline the research process undertaken, from selecting the method to articulating the tool or approach adopted to analyse your results. Because you are outlining this process, it's important that you structure your methodology in a linear way, showing how certain decisions have impacted on subsequent choices.

Scroll to continue reading, or click a link below to jump immediately to that section:

The 'research onion'

To ensure you write your methodology in a linear way, it can be useful to think of the methodology in terms of layers, as shown in the figure below.

Oval diagram with these layers from outside to in: philosophy, approach, methodological choice, strategies, time horizon, and techniques/procedures.

Figure: 'Research onion' from Saunders et al. (2007).

You don't need to precisely follow these exact layers as some won't be relevant to your research. However, the layered 'out to in' structure developed by Saunders et al. (2007) is appropriate for any methodology chapter because it guides your reader through the process in a linear fashion, demonstrating how certain decisions impacted on others. For example, you need to state whether your research is qualitative, quantitative or mixed before articulating your precise research method. Likewise, you need to explain how you collected your data before you inform the reader of how you subsequently analysed that data.

Using this linear approach from 'outer' layer to 'inner' layer, the next sections will take you through the most common layers used to structure a methodology chapter.

Introduction and research outline

Like any chapter, you should open your methodology with an introduction. It's good to start by briefly restating the research problem, or gap, that you're addressing, along with your research question(s) and/or hypotheses. Following this, it's common to provide a very condensed statement that outlines the most important elements of your research design. Here's a short example:

This study adopted qualitative research through a series of semi-structured interviews with seven experienced industry professionals.

Like any other introduction, you can then provide a brief statement outlining what the chapter is about and how it's structured (e.g., an essay map ).

Restating the research problem (or gap) and your research question(s) and/or hypotheses creates a natural transition from your previous review of the literature - which helped you to identify the gap or problem - to how you are now going to address such a problem. Your markers are also going to assess the relevance and suitability of your method and methodological choices against your research question(s), so it's good to 'frame' the entire chapter around the research question(s) by bringing them to the fore.

Research philosophy

A research philosophy is an underlying belief that shapes the way research is conducted. For this reason, as featured in the 'research onion' above, the philosophy should be the outermost layer - the first methodological issue you deal with following the introduction and research outline - because every subsequent choice, from the method employed to the way you analyse data, is directly influenced by your philosophical stance.

You can say something about other philosophies, but it's best to directly relate this to your research and the philosophy you have selected - why the other philosophy isn't appropriate for you to adopt, for instance. Otherwise, explain to your reader the philosophy you have selected (using secondary literature), its underlying principles, and why this philosophy, therefore, is particularly relevant to your research.

The research philosophy is sometimes featured in a methodology chapter, but not always. It depends on the conventions within your school or discipline , so only include this if it's expected.

The reason for outlining the research philosophy is to show your understanding of the role that your chosen philosophy plays in shaping the design and approach of your research study. The philosophy you adopt also indicates your worldview (in the context of this research), which is an important way of highlighting the role you, the researcher, play in shaping new knowledge.

Research method

This is where you state whether you're doing qualitative, quantitative or mixed-methods research before outlining the exact instrument or strategy (see definition) adopted for research (interviews, case study, etc.). It's also important that you explain why you have chosen that particular method and strategy. You can also explain why you're not adopting an alternate form of research, or why you haven't used a particular instrument, but keep this brief and use it to reinforce why you have chosen your method and strategy.

Your research method, more than anything else, is going to directly influence how effectively you answer your research question(s). For that reason, it's crucial that you emphasise the suitability of your chosen method and instrument for the purposes of your research.

Data collection

The data collection part of your methodology explain the process of how you accessed and collected your data. Using an interview as a qualitative example, this might include the criteria for selecting participants, how you recruited the participants and how and where you conducted the interviews. There is often some overlap with data collection and research method, so don't worry about this. Just make sure you get the essential information across to your reader.

The details of how you accessed and collected your data are important for replicability purposes - the ability for someone to adopt the same approach and repeat the study. It's also important to include this information for reliability and consistency purposes (see validity and reliability on the next tab of this guide for more).

Data analysis

After describing how you collected the data, you need to identify your chosen method of data analysis. Inevitably, this will vary depending on whether your research is qualitative or quantitative (see note below).

Qualitative research tends to be narrative-based where forms of ‘coding’ are employed to categorise and group the data into meaningful themes and patterns (Bui, 2014). Quantitative deals with numerical data meaning some form of statistical approach is taken to measure the results against the research question(s).

Tell your reader which data analysis software (such as SPSS or Atlast.ti) or method you’ve used and why, using relevant literature. Again, you can mention other data analysis tools that you haven’t used, but keep this brief and relate it to your discussion of your chosen approach. This isn’t to be confused with the results and discussion chapters where you actually state and then analyse your results. This is simply a discussion of the approach taken, how you applied this approach to your data and why you opted for this method of data analysis.

Detail of how you analysed your data helps to contextualise your results and discussion chapters. This is also a validity issue (see next tab of guide), as you need to ensure that your chosen method for data analysis helps you to answer your research question(s) and/or respond to your hypotheses. To use an example from Bui (2014: 155), 'if one of the research questions asks whether the participants changed their behaviour before and after the study, then one of the procedures for data analysis needs to be a comparison of the pre- and postdata'.

Validity and reliability

Validity simply refers to whether the research method(s) and instrument(s) applied are directly suited to meet the purposes of your research – whether they help you to answer your research question(s), or allow you to formulate a response to your hypotheses.

Validity can be separated into two forms: internal and external. The difference between the two is defined by what exists inside the study (internal) and what exists outside the study (external).

Internal validity is the extent to which ‘the results obtained can be attributed to the manipulation of the independent variable' (Salkind, 2011: 147).
External validity refers to the application of your study’s findings outside the setting of your study. This is known as generalisability , meaning to what extent are the results applicable to a wider context or population.

Reliability

Reliability refers to the consistency with which you designed and implemented your research instrument(s). The idea behind this is to ensure that someone else could replicate your study and, by applying the instrument in the exact same way, would achieve the same results. This is crucial to quantitative and scientific based research, but isn’t strictly the case with qualitative research given the subjective nature of the data.

With qualitative data, it’s important to emphasise that data was collected in a consistent way to avoid any distortions. For example, let’s say you’ve circulated a questionnaire to participants. You would want to ensure that every participant receives the exact same questionnaire with precisely the same questions and wording, unless different questionnaires are required for different members of the sample for the purposes of the research.

Ethical considerations

Any research involving human participants needs to consider ethical factors. In response, you need to show your markers that you have implemented the necessary measures to cover the relevant ethical issues. These are some of the factors that are typically included:

How did you gain the consent of participants, and how did you formally record this consent?
What measures did you take to ensure participants had enough understanding of their role to make an informed decision, including the right to withdraw at any stage?
What measures did you take to maintain the confidentiality of participants during the research and, potentially, for the write-up?
What measures did you take to store the raw data and protect it from external access and use prior to the write-up?

These are only a few examples of the ethical factors you need to write about in your methodology. Depending on the nature of your research, ethical considerations might form a significant part of your methodology chapter, or may only constitute a few sentences. Either way, it’s imperative that you show your markers that you’ve considered the relevant ethical implications of your research.

Limitations

Don’t make the mistake of ignoring the limitations of your study (see the next tab, 'What to Avoid', for more on this) – it’s a common part of research and should be confronted. Limitations of research can be diverse, but tend to be logistical issues relating to time, scope and access . Whilst accepting that your study has certain limitations, the key is to put a positive spin on it, like the example below:

Despite having a limited sample size compared to other similar studies, the number of participants is enough to provide sufficient data, whilst the in-depth nature of the interviews facilitates detailed responses from participants.

Bui, Y. N. (2014) How to Write a Master’s Thesis. 2dn Edtn. Thousand Oaks, CA: Sage.
Guba, E. G. and Lincoln, Y. S. (1994) ‘Competing paradigms in qualitative research’, in Denzin, N. K. and Lincoln, N. S. (eds.) Handbook of Qualitative Research. Thousand Oaks, CA: Sage, pp. 105-117.
Salkind, N. J. (2011) ‘Internal and external validity’, in Moutinho, L. and Hutchenson, G. D. (eds.) The SAGE Dictionary of Quantitative Management Research . Thousand Oaks, CA: Sage, pp. 147-149.
Saunders, M., Lewis, P. and Thornhill, A. (2007) Research Methods for Business Students . 4th Edtn. Harlow: Pearson.

What to avoid

This portion of the guide will cover some common missteps you should try to avoid in writing your methodology.

Ignoring limitations

It might seem instinctive to hide any flaws or limitations with your research to protect yourself from criticism. However, you need to highlight any problems you encountered during the research phase, or any limitations with your approach. Your markers are expecting you to engage with these limitations and highlight the kind of impact they may have had on your research.

Just be careful that you don’t overstress these limitations. Doing so could undermine the reliability and validity of your results, and your credibility as a researcher.

Literature review of methods

Don’t mistake your methodology chapter as a detailed review of methods employed in other studies. This level of detail should, where relevant, be incorporated in the literature review chapter, instead (see our Writing the Literature Review guide ). Any reference to methodological choices made by other researchers should come into your methodology chapter, but only in support of the decisions you made.

Unnecessary detail

It’s important to be thorough in a methodology chapter. However, don’t include unnecessary levels of detail. You should provide enough detail that allows other researchers to replicate or adapt your study, but don’t bore your reader with obvious or extraneous detail.

Any materials or content that you think is worth including, but not essential in the chapter, could be included in an appendix (see definition). These don’t count towards your word count (unless otherwise stated), and they can provide further detail and context for your reader. For instance, it’s quite common to include a copy of a questionnaire in an appendix, or a list of interview questions.

Q: Should the methodology be in the past or present tense?

A: The past tense. The study has already been conducted and the methodological decisions have been implemented, meaning the chapter should be written in the past tense. For example...

Data was collected over the course of four weeks.

I informed participants of their right to withdraw at any time.

The surveys included ten questions about job satisfaction and ten questions about familial life (see Appendix).

Q: Should the methodology include secondary literature?

A: Yes, where relevant. Unlike the literature review, the methodology is driven by what you did rather than what other people have done. However, you should still draw on secondary sources, when necessary, to support your methodological decisions.

Q: Do you still need to write a methodology for secondary research?

A: Yes, although it might not form a chapter, as such. Including some detail on how you approached the research phase is always a crucial part of a dissertation, whether primary or secondary. However, depending on the nature of your research, you may not have to provide the same level of detail as you would with a primary-based study.

For example, if you’re analysing two particular pieces of literature, then you probably need to clarify how you approached the analysis process, how you use the texts (whether you focus on particular passages, for example) and perhaps why these texts are scrutinised, as opposed to others from the relevant literary canon.

In such cases, the methodology may not be a chapter, but might constitute a small part of the introduction. Consult your supervisor for further guidance.

Q: Should the methodology be in the first-person or third?

A: It’s important to be consistent , so you should use whatever you’ve been using throughout your dissertation. Third-person is more commonly accepted, but certain disciplines are happy with the use of first-person. Just remember that the first-person pronoun can be a distracting, but powerful device, so use it sparingly. Consult your supervisor for further guidance.

It’s important to remember that all research is different and, as such, the methodology chapter is likely to be very different from dissertation to dissertation. Whilst this guide has covered the most common and essential layers featured in a methodology, your methodology might be very different in terms of what you focus on, the depth of focus and the wording used.

What’s important to remember, however, is that every methodology chapter needs to be structured in a linear, layered way that guides the reader through the methodological process in sequential order. Through this, your marker can see how certain decisions have impacted on others, showing your understanding of the research process.

Here’s a final checklist for writing your methodology. Remember that not all of these points will be relevant for your methodology, so make sure you cover whatever’s appropriate for your dissertation. The asterisk (*) indicates any content that might not be relevant for your dissertation. You can download a copy of the checklist to save and edit via the Word document, below.

Methodology self-evaluation checklist

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Last Updated: Feb 22, 2024 3:43 PM
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Mastering Your Dissertation pp 69–83 Cite as

How Do I Write the Methods Chapter?

Methods, Participants, and Describing Data Analysis

Sue Reeves ORCID: orcid.org/0000-0002-3017-0559 3 &
Bartek Buczkowski ORCID: orcid.org/0000-0002-4146-3664 4
First Online: 19 October 2023

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The methods chapter is where you describe what you did to collect and analyse your data. This book chapter will outline what the methods chapter should cover, potential differences in the styles between experiments, surveys, literature reviews, and audits. The different sections the methods chapter typically has including design, sample, measures, ethics and data analysis paragraphs, will be outlined, and there are also some general tips for writing your methods chapter in a scientific manner.

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Boynton PM (1998) People should participate in, not be subjects of research. Br Med J 317:1521. https://doi.org/10.1136/bmj.317.7171.1521a

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Cherry K (2022) How to write an APA method section of a research paper. https://www.verywellmind.com/how-to-write-a-method-section-2795726

Johnson S, Scott J (2019) Study and communication skills for the biosciences. Oxford University Press

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Smith V, Devane D, Begley CM et al (2011) Methodology in conducting a systematic review of systematic reviews of healthcare interventions. BMC Med Res Methodol 11:15. https://doi.org/10.1186/1471-2288-11-15

World Medical Association (2022) WMA Declaration of Helsinki–Ethics Principals for Medical Research Involving Human Subjects. https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/ . Accessed 23 Jan 2023

For qualitative methods in particular:

Durdella N (2018) Qualitative dissertation methodology–a guide for research design and methods. Sage, Thousand Oaks, Ca

For power calculations:

Jones SR, Carley S, Harrison M (2003) An introduction to power and sample size estimation. Emerg Med J 20:453–458

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For help with statistics:

Petrie A, Sabin C (2019) Medical statistics at a glance, 4th edn. Wiley Blackwell, Oxford

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Dissertation

What Is a Dissertation? | Guide, Examples, & Template

A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program.

Your dissertation is probably the longest piece of writing you’ve ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating to know where to begin.

Your department likely has guidelines related to how your dissertation should be structured. When in doubt, consult with your supervisor.

You can also download our full dissertation template in the format of your choice below. The template includes a ready-made table of contents with notes on what to include in each chapter, easily adaptable to your department’s requirements.

Download Word template Download Google Docs template

In the US, a dissertation generally refers to the collection of research you conducted to obtain a PhD.
In other countries (such as the UK), a dissertation often refers to the research you conduct to obtain your bachelor’s or master’s degree.

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Dissertation committee and prospectus process, how to write and structure a dissertation, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your dissertation, free checklist and lecture slides.

When you’ve finished your coursework, as well as any comprehensive exams or other requirements, you advance to “ABD” (All But Dissertation) status. This means you’ve completed everything except your dissertation.

Prior to starting to write, you must form your committee and write your prospectus or proposal . Your committee comprises your adviser and a few other faculty members. They can be from your own department, or, if your work is more interdisciplinary, from other departments. Your committee will guide you through the dissertation process, and ultimately decide whether you pass your dissertation defense and receive your PhD.

Your prospectus is a formal document presented to your committee, usually orally in a defense, outlining your research aims and objectives and showing why your topic is relevant . After passing your prospectus defense, you’re ready to start your research and writing.

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The structure of your dissertation depends on a variety of factors, such as your discipline, topic, and approach. Dissertations in the humanities are often structured more like a long essay , building an overall argument to support a central thesis , with chapters organized around different themes or case studies.

However, hard science and social science dissertations typically include a review of existing works, a methodology section, an analysis of your original research, and a presentation of your results , presented in different chapters.

Dissertation examples

We’ve compiled a list of dissertation examples to help you get started.

Example dissertation #1: Heat, Wildfire and Energy Demand: An Examination of Residential Buildings and Community Equity (a dissertation by C. A. Antonopoulos about the impact of extreme heat and wildfire on residential buildings and occupant exposure risks).
Example dissertation #2: Exploring Income Volatility and Financial Health Among Middle-Income Households (a dissertation by M. Addo about income volatility and declining economic security among middle-income households).
Example dissertation #3: The Use of Mindfulness Meditation to Increase the Efficacy of Mirror Visual Feedback for Reducing Phantom Limb Pain in Amputees (a dissertation by N. S. Mills about the effect of mindfulness-based interventions on the relationship between mirror visual feedback and the pain level in amputees with phantom limb pain).

The very first page of your document contains your dissertation title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo.

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The abstract is a short summary of your dissertation, usually about 150 to 300 words long. Though this may seem very short, it’s one of the most important parts of your dissertation, because it introduces your work to your audience.

Your abstract should:

State your main topic and the aims of your research
Describe your methods
Summarize your main results
State your conclusions

Theoretical framework

Your literature review can often form the basis for your theoretical framework. Here, you define and analyze the key theories, concepts, and models that frame your research.

Checklist: Dissertation

My title page includes all information required by my university.

I have included acknowledgements thanking those who helped me.

My abstract provides a concise summary of the dissertation, giving the reader a clear idea of my key results or arguments.

I have created a table of contents to help the reader navigate my dissertation. It includes all chapter titles, but excludes the title page, acknowledgements, and abstract.

My introduction leads into my topic in an engaging way and shows the relevance of my research.

My introduction clearly defines the focus of my research, stating my research questions and research objectives .

My introduction includes an overview of the dissertation’s structure (reading guide).

I have conducted a literature review in which I (1) critically engage with sources, evaluating the strengths and weaknesses of existing research, (2) discuss patterns, themes, and debates in the literature, and (3) address a gap or show how my research contributes to existing research.

I have clearly outlined the theoretical framework of my research, explaining the theories and models that support my approach.

I have thoroughly described my methodology , explaining how I collected data and analyzed data.

I have concisely and objectively reported all relevant results .

I have (1) evaluated and interpreted the meaning of the results and (2) acknowledged any important limitations of the results in my discussion .

I have clearly stated the answer to my main research question in the conclusion .

I have clearly explained the implications of my conclusion, emphasizing what new insight my research has contributed.

I have provided relevant recommendations for further research or practice.

If relevant, I have included appendices with supplemental information.

I have included an in-text citation every time I use words, ideas, or information from a source.

I have listed every source in a reference list at the end of my dissertation.

I have consistently followed the rules of my chosen citation style .

I have followed all formatting guidelines provided by my university.

Congratulations!

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Writing the Research Methodology Section of Your Thesis

This article explains the meaning of research methodology and the purpose and importance of writing a research methodology section or chapter for your thesis paper. It discusses what to include and not include in a research methodology section, the different approaches to research methodology that can be used, and the steps involved in writing a robust research methodology section.

What is a thesis research methodology?

A thesis research methodology explains the type of research performed, justifies the methods that you chose by linking back to the literature review , and describes the data collection and analysis procedures. It is included in your thesis after the Introduction section . Most importantly, this is the section where the readers of your study evaluate its validity and reliability.

What should the research methodology section in your thesis include?

The aim of your thesis
An outline of the research methods chosen (qualitative, quantitative, or mixed methods)
Background and rationale for the methods chosen, explaining why one method was chosen over another
Methods used for data collection and data analysis
Materials and equipment used—keep this brief
Difficulties encountered during data collection and analysis. It is expected that problems will occur during your research process. Use this as an opportunity to demonstrate your problem-solving abilities by explaining how you overcame all obstacles. This builds your readers’ confidence in your study findings.
A brief evaluation of your research explaining whether your results were conclusive and whether your choice of methodology was effective in practice

What should not be included in the research methodology section of your thesis?

Irrelevant details, for example, an extensive review of methodologies (this belongs in the literature review section) or information that does not contribute to the readers’ understanding of your chosen methods
A description of basic procedures
Excessive details about materials and equipment used. If an extremely long and detailed list is necessary, add it as an appendix

Types of methodological approaches

The choice of which methodological approach to use depends on your field of research and your thesis question. Your methodology should establish a clear relationship with your thesis question and must also be supported by your literature review . Types of methodological approaches include quantitative, qualitative, or mixed methods.

Quantitative studies generate data in the form of numbers to count, classify, measure, or identify relationships or patterns. Information may be collected by performing experiments and tests, conducting surveys, or using existing data. The data are analyzed using statistical tests and presented as charts or graphs. Quantitative data are typically used in the Sciences domain.

For example, analyzing the effect of a change, such as alterations in electricity consumption by municipalities after installing LED streetlights.

The raw data will need to be prepared for statistical analysis by identifying variables and checking for missing data and outliers. Details of the statistical software program used (name of the package, version number, and supplier name and location) must also be mentioned.

Qualitative studies gather non-numerical data using, for example, observations, focus groups, and in-depth interviews. Open-ended questions are often posed. This yields rich, detailed, and descriptive results. Qualitative studies are usually subjective and are helpful for investigating social and cultural phenomena, which are difficult to quantify. Qualitative studies are typically used in the Humanities and Social Sciences (HSS) domain.

For example, determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays.

The raw data will need to be prepared for analysis by coding and categorizing ideas and themes to interpret the meaning behind the responses given.

Mixed methods use a combination of quantitative and qualitative approaches to present multiple findings about a single phenomenon. T his enables triangulation: verification of the data from two or more sources.

Data collection

Explain the rationale behind the sampling procedure you have chosen. This could involve probability sampling (a random sample from the study population) or non-probability sampling (does not use a random sample).

For quantitative studies, describe the sampling procedure and whether statistical tests were used to determine the sample size .

Following our example of analyzing the changes in electricity consumption by municipalities after installing LED streetlights, you will need to determine which municipal areas will be sampled and how the information will be gathered (e.g., a physical survey of the streetlights or reviewing purchase orders).

For qualitative research, describe how the participants were chosen and how the data is going to be collected.

Following our example about determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays, you will need to decide the criteria for inclusion as a study participant (e.g., women aged 20–70 years, bakeries, and bakery supply shops) and how the information will be collected (e.g., interviews, focus groups, online or in-person questionnaires, or video recordings) .

Data analysis

For quantitative research, describe what tests you plan to perform and why you have chosen them. Popular data analysis methods in quantitative research include:

Descriptive statistics (e.g., means, medians, modes)
Inferential statistics (e.g., correlation, regression, structural equation modeling)

For qualitative research, describe how the data is going to be analyzed and justify your choice. Popular data analysis methods in qualitative research include:

Qualitative content analysis
Thematic analysis
Discourse analysis
Narrative analysis
Grounded theory
Interpretative phenomenological analysis (IPA)

Evaluate and justify your methodological choices

You need to convince the reader that you have made the correct methodological choices. Once again, this ties back to your thesis question and literature review . Write using a persuasive tone, and use rhetoric to convince the reader of the quality, reliability, and validity of your research.

Ethical considerations

The young researcher should maintain objectivity at all times
All participants have the right to privacy and anonymity
Research participation must be voluntary
All subjects have the right to withdraw from the research at any time
Consent must be obtained from all participants before starting the research
Confidentiality of data provided by individuals must be maintained
Consider how the interpretation and reporting of the data will affect the participants

Tips for writing a robust thesis research methodology

Determine what kind of knowledge you are trying to uncover. For example, subjective or objective, experimental or interpretive.
A thorough literature review is the best starting point for choosing your methods.
Ensure that there is continuity throughout the research process. The authenticity of your research depends upon the validity of the research data, the reliability of your data measurements, and the time taken to conduct the analysis.
Choose a research method that is achievable. Consider the time and funds available, feasibility, ethics, and access and availability of equipment to measure the phenomenon or answer your thesis question correctly.
If you are struggling with a concept, ask for help from your supervisor, academic staff members, or fellow students.

A thesis methodology justifies why you have chosen a specific approach to address your thesis question. It explains how you will collect the data and analyze it. Above all, it allows the readers of your study to evaluate its validity and reliability.

A thesis is the most crucial document that you will write during your academic studies. For professional thesis editing and thesis proofreading services, visit Enago Thesis Editing for more information.

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Introduce your methodological approach , for example, quantitative, qualitative, or mixed methods.

Explain why your chosen approach is relevant to the overall research design and how it links with your thesis question.

Justify your chosen method and why it is more appropriate than others.

Provide background information on methods that may be unfamiliar to readers of your thesis.

Introduce the tools that you will use for data collection , and explain how you plan to use them (e.g., surveys, interviews, experiments, or existing data).

Explain how you will analyze your results. The type of analysis used depends on the methods you chose. For example, exploring theoretical perspectives to support your explanation of observed behaviors in a qualitative study or using statistical analyses in a quantitative study.

Mention any research limitations. All studies are expected to have limitations, such as the sample size, data collection method, or equipment. Discussing the limitations justifies your choice of methodology despite the risks. It also explains under which conditions the results should be interpreted and shows that you have taken a holistic approach to your study.

What is the difference between methodology and methods? +

Methodology refers to the overall rationale and strategy of your thesis project. It involves studying the theories or principles behind the methods used in your field so that you can explain why you chose a particular method for your research approach. Methods , on the other hand, refer to how the data were collected and analyzed (e.g., experiments, surveys, observations, interviews, and statistical tests).

What is the difference between reliability and validity? +

Reliability refers to whether a measurement is consistent (i.e., the results can be reproduced under the same conditions). Validity refers to whether a measurement is accurate (i.e., the results represent what was supposed to be measured). For example, when investigating linguistic and cultural guidelines for administration of the Preschool Language Scales, Fifth Edition (PLS5) in Arab-American preschool children, the normative sample curves should show the same distribution as a monolingual population, which would indicate that the test is valid. The test would be considered reliable if the results obtained were consistent across different sampling sites.

What tense is used to write the methods section? +

The methods section is written in the past tense because it describes what was done.

What software programs are recommended for statistical analysis? +

Recommended programs include Statistical Analysis Software (SAS) , Statistical Package for the Social Sciences (SPSS) , JMP , R software, MATLAB , Microsoft Excel, GraphPad Prism , and Minitab .

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Dissertation Methodology – Definition & Guide

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The dissertation methodology is an essential part of your research paper. It shows the reader whether your study is reliable and credible. The methodology outlines the specific research methods and tools you employed, allowing others to replicate or challenge your findings. A well-constructed dissertation methodology not only enhances the integrity of your research but also paves the way for future scholars in your field. This guide will show you how to write the dissertation methodology.

Inhaltsverzeichnis

1 Dissertation Methodology – In a Nutshell
2 Definition: Dissertation methodology
3 Why is a methods section important?
4 How to write a dissertation methodology
5 Tips for writing a strong dissertation methodology

Dissertation Methodology – In a Nutshell

The dissertation methodology shows the reader how you carried out the research.
In the dissertation methodology, you have to convince the reader that your chosen research method was the most suitable for the study.
Mixed research methods are rarely used. If you pick this option, your dissertation methodology should clearly show why you thought mixed research would be ideal.

Definition: Dissertation methodology

The dissertation methodology explains how you carried out the research, as well as the source of your data. It also shows the methods you used to gather and analyze data. A well-written dissertation methodology section should allow the reader to create methods that are very similar to the ones used in your research.

Why is a methods section important?

This chapter is meant to convince the author that the research is authentic. It shows readers that the research was thoroughly done. Since it completely indicates how the research was done, other researchers can replicate it and confirm your results. In case your readers have any critiques and questions, they can always refer to the dissertation methodology section of your paper. Overall, this part of your paper will help readers evaluate the validity and reliability of the study.

How to write a dissertation methodology

Step 1: methodological approach, step 2: data collection methods, step 3: analysis method, step 4: evaluation and justification of methodological choices.

You should start with a recap of the research problem or question. You can reword the questions to link the literature review and methodology. At this point, you also need to indicate the type of data you needed to study the phenomenon. When covering the methodological approach, you can also explain the reasons why you chose certain methods for the research.

Now that the reader is familiar with the methodological approach, you can describe the data collection methods in detail. If you’re doing qualitative research, you should start by explaining how you selected the data.

It is essential to describe the context in which the data was collected. You should also indicate the role you played in the data collection process.

Interviews were conducted in classrooms and took about 40 minutes. All questions were open-ended.

If you used quantitative data, your dissertation methodology should indicate the sampling methods, the materials used, the procedure followed, and how you measured your variables.

The descriptions will vary depending on the methods used. For example, with surveys , your dissertation methodology must indicate the form the survey questions took, as well as the sample size. The questionnaire can also be included as an appendix.

If you used experiments , the dissertation methodology should show the methods you used to design the experiment. It should also indicate the tools used and methods you used to recruit participants.

For secondary data, your dissertation methodology will have to show the procedure you used when gathering the material for the analysis. You should also state the date the material was originally produced.

In some cases, researchers may use mixed methods to carry out studies. This is necessary in cases where qualitative or quantitative research methods alone may not be sufficient to answer the research question.

Mixed researches are quite rare since they require a lot of effort to complete. The dissertations methodology section has to indicate the reasons why you chose a particular type of data.

When writing the dissertation methodology, you also need to indicate the analysis method you used.

Quantitative researches

If you used quantitative data, your dissertation methodology must include the methods you used to gather and clean the data. This is usually done through data validation, data editing, and data coding. You also have to offer details on the software you used to analyze the data. For example, you may have used Stata or R. Finally, your dissertation methodology should show the statistical tests you used. Here are some common statistical tests used to analyze quantitative data:

Standard deviation
Regression analysis
Analysis of Variance

Qualitative researches

Analysis of qualitative data can be done using methods like content analysis, thematic analysis, and discourse analysis. It usually involves the evaluation of the language used and the identification of patterns.

Mixed methods

Mixed methods combine both qualitative and quantitative data.

This is an essential part of the dissertation methodology. It shows the reader why you chose a particular research method. After reading this part of the dissertation methodology, other researchers should be convinced that your methods would lead to results that are valid and reliable. In other words, you have to show that the method you selected has more pros and cons and is better suited to your study.

Quantitative research

The main strength of quantitative research is that bias is less likely to occur as the researcher doesn’t need to use subjective reasoning. Quantitative research is also easy to analyze and can be generalized. It is great for determining participant opinions and experiences. Its main weakness is that it requires a large number of participants.

Mixed research

While mixed research can overcome the weaknesses of both qualitative and quantitative research, it can be difficult to perform.

Qualitative research

This research method can capture changing attitudes in a target group. It is also quickly adaptable as the researcher can adjust certain variables to improve the quality of the responses. The researcher can also be more speculative. The main issue with qualitative research is that it uses small sample sizes.

Tips for writing a strong dissertation methodology

Reference existing research in your field
The dissertation methodology should contain information that would be obvious to your audience
Keep the research questions in mind and make sure everything in the dissertation methodology leads back to these questions

What are the 5 parts of a dissertation methodology?

A dissertation methodology should contain the following parts: the methodological approach, research setting and participants, data collection methods, data analysis methods, and evaluation of the methodological choices.

Which types of research methods can you use?

Your study can use qualitative data, quantitative data, or mixed methods.

What is the purpose of the dissertation methodology?

The dissertation methodology is meant to show the credibility of your study.

When should you include mixed methods in your dissertation methodology?

You can use this method if the chosen research method can’t conclusively answer the research question.

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What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

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

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

It should include:

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

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

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

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

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

Option 1: Start with your “what”

What research problem or question did you investigate?

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

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

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

Option 2: Start with your “why”

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

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

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

Quantitative methods

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

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

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

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

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

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

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

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

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

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

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

Qualitative methods

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

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

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

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

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

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

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

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

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

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

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

Mixed methods

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

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

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

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

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

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

Specific methods might include:

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

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

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

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

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

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

1. Focus on your objectives and research questions

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

2. Cite relevant sources

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

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

3. Write for your audience

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

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

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

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

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

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

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

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

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

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

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

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The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

Kallet, Richard H. "How to Write the Methods Section of a Research Paper." Respiratory Care 49 (October 2004): 1229-1232.

Importance of a Good Methodology Section

You must explain how you obtained and analyzed your results for the following reasons:

Readers need to know how the data was obtained because the method you chose affects the results and, by extension, how you interpreted their significance in the discussion section of your paper.
Methodology is crucial for any branch of scholarship because an unreliable method produces unreliable results and, as a consequence, undermines the value of your analysis of the findings.
In most cases, there are a variety of different methods you can choose to investigate a research problem. The methodology section of your paper should clearly articulate the reasons why you have chosen a particular procedure or technique.
The reader wants to know that the data was collected or generated in a way that is consistent with accepted practice in the field of study. For example, if you are using a multiple choice questionnaire, readers need to know that it offered your respondents a reasonable range of answers to choose from.
The method must be appropriate to fulfilling the overall aims of the study. For example, you need to ensure that you have a large enough sample size to be able to generalize and make recommendations based upon the findings.
The methodology should discuss the problems that were anticipated and the steps you took to prevent them from occurring. For any problems that do arise, you must describe the ways in which they were minimized or why these problems do not impact in any meaningful way your interpretation of the findings.
In the social and behavioral sciences, it is important to always provide sufficient information to allow other researchers to adopt or replicate your methodology. This information is particularly important when a new method has been developed or an innovative use of an existing method is utilized.

Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects . 5th edition. Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008.

Structure and Writing Style

I. Groups of Research Methods

There are two main groups of research methods in the social sciences:

The e mpirical-analytical group approaches the study of social sciences in a similar manner that researchers study the natural sciences . This type of research focuses on objective knowledge, research questions that can be answered yes or no, and operational definitions of variables to be measured. The empirical-analytical group employs deductive reasoning that uses existing theory as a foundation for formulating hypotheses that need to be tested. This approach is focused on explanation.
The i nterpretative group of methods is focused on understanding phenomenon in a comprehensive, holistic way . Interpretive methods focus on analytically disclosing the meaning-making practices of human subjects [the why, how, or by what means people do what they do], while showing how those practices arrange so that it can be used to generate observable outcomes. Interpretive methods allow you to recognize your connection to the phenomena under investigation. However, the interpretative group requires careful examination of variables because it focuses more on subjective knowledge.

II. Content

The introduction to your methodology section should begin by restating the research problem and underlying assumptions underpinning your study. This is followed by situating the methods you used to gather, analyze, and process information within the overall “tradition” of your field of study and within the particular research design you have chosen to study the problem. If the method you choose lies outside of the tradition of your field [i.e., your review of the literature demonstrates that the method is not commonly used], provide a justification for how your choice of methods specifically addresses the research problem in ways that have not been utilized in prior studies.

The remainder of your methodology section should describe the following:

Decisions made in selecting the data you have analyzed or, in the case of qualitative research, the subjects and research setting you have examined,
Tools and methods used to identify and collect information, and how you identified relevant variables,
The ways in which you processed the data and the procedures you used to analyze that data, and
The specific research tools or strategies that you utilized to study the underlying hypothesis and research questions.

In addition, an effectively written methodology section should:

Introduce the overall methodological approach for investigating your research problem . Is your study qualitative or quantitative or a combination of both (mixed method)? Are you going to take a special approach, such as action research, or a more neutral stance?
Indicate how the approach fits the overall research design . Your methods for gathering data should have a clear connection to your research problem. In other words, make sure that your methods will actually address the problem. One of the most common deficiencies found in research papers is that the proposed methodology is not suitable to achieving the stated objective of your paper.
Describe the specific methods of data collection you are going to use , such as, surveys, interviews, questionnaires, observation, archival research. If you are analyzing existing data, such as a data set or archival documents, describe how it was originally created or gathered and by whom. Also be sure to explain how older data is still relevant to investigating the current research problem.
Explain how you intend to analyze your results . Will you use statistical analysis? Will you use specific theoretical perspectives to help you analyze a text or explain observed behaviors? Describe how you plan to obtain an accurate assessment of relationships, patterns, trends, distributions, and possible contradictions found in the data.
Provide background and a rationale for methodologies that are unfamiliar for your readers . Very often in the social sciences, research problems and the methods for investigating them require more explanation/rationale than widely accepted rules governing the natural and physical sciences. Be clear and concise in your explanation.
Provide a justification for subject selection and sampling procedure . For instance, if you propose to conduct interviews, how do you intend to select the sample population? If you are analyzing texts, which texts have you chosen, and why? If you are using statistics, why is this set of data being used? If other data sources exist, explain why the data you chose is most appropriate to addressing the research problem.
Provide a justification for case study selection . A common method of analyzing research problems in the social sciences is to analyze specific cases. These can be a person, place, event, phenomenon, or other type of subject of analysis that are either examined as a singular topic of in-depth investigation or multiple topics of investigation studied for the purpose of comparing or contrasting findings. In either method, you should explain why a case or cases were chosen and how they specifically relate to the research problem.
Describe potential limitations . Are there any practical limitations that could affect your data collection? How will you attempt to control for potential confounding variables and errors? If your methodology may lead to problems you can anticipate, state this openly and show why pursuing this methodology outweighs the risk of these problems cropping up.

NOTE : Once you have written all of the elements of the methods section, subsequent revisions should focus on how to present those elements as clearly and as logically as possibly. The description of how you prepared to study the research problem, how you gathered the data, and the protocol for analyzing the data should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. If necessary, consider using appendices for raw data.

ANOTHER NOTE : If you are conducting a qualitative analysis of a research problem , the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods. Because you are the primary instrument for generating the data [e.g., through interviews or observations], the process for collecting that data has a significantly greater impact on producing the findings. Therefore, qualitative research requires a more detailed description of the methods used.

YET ANOTHER NOTE : If your study involves interviews, observations, or other qualitative techniques involving human subjects , you may be required to obtain approval from the university's Office for the Protection of Research Subjects before beginning your research. This is not a common procedure for most undergraduate level student research assignments. However, i f your professor states you need approval, you must include a statement in your methods section that you received official endorsement and adequate informed consent from the office and that there was a clear assessment and minimization of risks to participants and to the university. This statement informs the reader that your study was conducted in an ethical and responsible manner. In some cases, the approval notice is included as an appendix to your paper.

III. Problems to Avoid

Irrelevant Detail The methodology section of your paper should be thorough but concise. Do not provide any background information that does not directly help the reader understand why a particular method was chosen, how the data was gathered or obtained, and how the data was analyzed in relation to the research problem [note: analyzed, not interpreted! Save how you interpreted the findings for the discussion section]. With this in mind, the page length of your methods section will generally be less than any other section of your paper except the conclusion.

Unnecessary Explanation of Basic Procedures Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you applied a method , not on the mechanics of doing a method. An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.

Problem Blindness It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials. Do not ignore these problems or pretend they did not occur. Often, documenting how you overcame obstacles can form an interesting part of the methodology. It demonstrates to the reader that you can provide a cogent rationale for the decisions you made to minimize the impact of any problems that arose.

Literature Review Just as the literature review section of your paper provides an overview of sources you have examined while researching a particular topic, the methodology section should cite any sources that informed your choice and application of a particular method [i.e., the choice of a survey should include any citations to the works you used to help construct the survey].

It’s More than Sources of Information! A description of a research study's method should not be confused with a description of the sources of information. Such a list of sources is useful in and of itself, especially if it is accompanied by an explanation about the selection and use of the sources. The description of the project's methodology complements a list of sources in that it sets forth the organization and interpretation of information emanating from those sources.

Azevedo, L.F. et al. "How to Write a Scientific Paper: Writing the Methods Section." Revista Portuguesa de Pneumologia 17 (2011): 232-238; Blair Lorrie. “Choosing a Methodology.” In Writing a Graduate Thesis or Dissertation , Teaching Writing Series. (Rotterdam: Sense Publishers 2016), pp. 49-72; Butin, Dan W. The Education Dissertation A Guide for Practitioner Scholars . Thousand Oaks, CA: Corwin, 2010; Carter, Susan. Structuring Your Research Thesis . New York: Palgrave Macmillan, 2012; Kallet, Richard H. “How to Write the Methods Section of a Research Paper.” Respiratory Care 49 (October 2004):1229-1232; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008. Methods Section. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Rudestam, Kjell Erik and Rae R. Newton. “The Method Chapter: Describing Your Research Plan.” In Surviving Your Dissertation: A Comprehensive Guide to Content and Process . (Thousand Oaks, Sage Publications, 2015), pp. 87-115; What is Interpretive Research. Institute of Public and International Affairs, University of Utah; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University; Methods and Materials. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests. A qualitative approach, such as conducting interviews or content analysis of archival texts, can yield exciting new insights about a research problem, but it should not be undertaken simply because you have a disdain for running a simple regression. A well designed quantitative research study can often be accomplished in very clear and direct ways, whereas, a similar study of a qualitative nature usually requires considerable time to analyze large volumes of data and a tremendous burden to create new paths for analysis where previously no path associated with your research problem had existed.

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

There can be multiple meaning associated with the term "theories" and the term "methods" in social sciences research. A helpful way to delineate between them is to understand "theories" as representing different ways of characterizing the social world when you research it and "methods" as representing different ways of generating and analyzing data about that social world. Framed in this way, all empirical social sciences research involves theories and methods, whether they are stated explicitly or not. However, while theories and methods are often related, it is important that, as a researcher, you deliberately separate them in order to avoid your theories playing a disproportionate role in shaping what outcomes your chosen methods produce.

Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem. This is how scholarship grows and branches out into new intellectual territory.

Reynolds, R. Larry. Ways of Knowing. Alternative Microeconomics . Part 1, Chapter 3. Boise State University; The Theory-Method Relationship. S-Cool Revision. United Kingdom.

Yet Another Writing Tip

Methods and the Methodology

Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research . Descriptions of methods usually include defining and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].

The methodology refers to a discussion of the underlying reasoning why particular methods were used . This discussion includes describing the theoretical concepts that inform the choice of methods to be applied, placing the choice of methods within the more general nature of academic work, and reviewing its relevance to examining the research problem. The methodology section also includes a thorough review of the methods other scholars have used to study the topic.

Bryman, Alan. "Of Methods and Methodology." Qualitative Research in Organizations and Management: An International Journal 3 (2008): 159-168; Schneider, Florian. “What's in a Methodology: The Difference between Method, Methodology, and Theory…and How to Get the Balance Right?” PoliticsEastAsia.com. Chinese Department, University of Leiden, Netherlands.

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What Is a Dissertation Methodology?

How to choose your methodology, final thoughts, how to write your dissertation methodology.

Updated September 30, 2021

Due to the complexities of the different research methods, writing your dissertation methodology can often be the most challenging and time-consuming part of your postgraduate dissertation .

This article focuses on the importance of writing a good PhD or master's dissertation methodology – and how to achieve this.

A postgraduate dissertation (or thesis) is usually formed of several detailed sections, including:

Abstract – A summary of your research topic.

Introduction – Provides background information on your topic, putting it into context. You will also confirm the main focus of your study, explain why it will add value to your area of interest and specify your key objectives.

Literature Review – A critical review of literature that relates to your chosen research topic. You will also need to identify which gap in the literature your study aims to address.

Methodology – Focuses on the research methods used within your research.

Results – Used to report on your main findings and how these relate to your research question.

Conclusion – Used to confirm the answer to your main research question, reflect on the research process and offer recommendations on future research.

The dissertation methodology forms the skeleton of any research project. It provides the reader with a clear outline of the methods you decided to use when carrying out your research.

By studying your dissertation methodology, the reader will be able to assess your research in terms of its validity and reliability.

In line with the outline given above, the methodology chapter usually appears after the literature review . Your methodology should be closely linked to the research that you conducted as part of this review, as well as the questions you aim to answer through your research and analysis.

Taking the time to find out about the different types of research available to you will allow you to identify any potential drawbacks to the method you have chosen to use. You should then be able to make allowances or adjustments to address these when it comes to carrying out your research.

Choosing your methodology will largely depend on the discipline of the qualification you are studying for and the question your dissertation will seek to answer. In most cases, you will use quantitative or qualitative research methods, although some projects will benefit from using a combination of both.

Quantitative research methods are used to gather numerical information. This research method is particularly useful if you are seeking to count, categorise, measure or identify patterns in data. To collect quantitative data, you might choose to conduct experiments, tests or surveys.

Qualitative research methods are used to gather non-statistical data. Instead of using numbers to create charts or graphs, you will need to categorise the information according to identifiers. This research method is most useful if you are seeking to develop a hypothesis. To collect qualitative data, you might choose to conduct focus groups, interviews or observations.

What to Include in Your Dissertation Methodology

Below is a dissertation methodology example to show you what information to include:

You will need to reiterate your research topic or question and give an overview of how you plan to investigate this. If there were any ethical or philosophical considerations to be made, give details.

For example, you may have sought informed consent from the people taking part in interviews or surveys.

Outline of the Methods Chosen

Confirm whether you have chosen to use quantitative research, qualitative research or a combination of both.

When choosing between qualitative and quantitative research methods, you will need to carry out initial literature and textbook research to establish the standard research methods that are normally used within your chosen area of research.

If you are not sure where to start, you could visit the library at your college or university and ask one of the librarians to help you to identify the most relevant texts.

Explanation of the Methods Chosen

Explain your rationale for selecting your chosen research methods. You should also give an overview of why these were more appropriate than using another research method.

Think about where and when the research took place and who was involved. For example, this might include information on the venue used for interviews or focus groups, dates and timescales, and whether participants were part of a particular demographic group.

Here are some examples of the type of information you may wish to include:

Qualitative Research Methods

Personal observations – Where and when did you conduct the observations? Who did you observe? Were they part of a particular community or group? How long did each observation take? How did you record your findings – did you collect audio recordings, video footage or written observations?

Focus groups – Where and when did the focus group take place? Who was involved? How were they selected? How many people took part? Were the questions asked structured, unstructured or semi-structured? Remember to include a copy of the questions that were used as an appendix.

Interviews – Where and when did the interviews take place? Who took part? How did you select the participants? What type of questions did you ask? How did you record your findings? Remember to include a copy of the questions that were used as an appendix.

The researcher’s objective was to find out customer perceptions on improving the product range currently offered by Company Y. Semi-structured interviews were held with 15 returning customers from the key target demographic for Company Y (18- to 35-year-olds). For research purposes, a returning customer was defined as somebody who purchased products from Company Y at least two times per week during the past three months. The interviews were held in an office in the staff area of the retail premises. Each interview lasted approximately 25 minutes. Responses were recorded through note-taking as none of the respondents wished to give their consent to be filmed.

Quantitative Research Methods

Existing information or data – What were the sources of the material used? How did you select material? Did you only use data published within a particular time frame?

Experiments – What tools or equipment did you use? What techniques were required? Note that when conducting experiments, it is particularly important to provide enough information to allow another researcher to conduct the experiment and obtain the same results.

Surveys – Were respondents asked to answer multiple-choice questions or complete free-text fields? How many questions were used? How long were people given to answer all of the questions? What were the demographics of the participants? Remember to include a copy of the survey in the appendices.

The survey was made up of 10 multiple-choice questions and 5 questions to be rated using a 5-point Lickert scale. The objective was to have 250 customers of Company Z complete the survey at the Company Z HQ between 1st and 5th February 2019, between the hours of 12 p.m. and 5 p.m. For research purposes, a customer was defined as any person who had purchased a product from Company Z during 2018. Customers completing the survey were allowed a maximum of 10 minutes to answer all of the questions. 200 customers responded, however not all of the surveys were completed in full, so only 150 survey results were able to be used in the data analysis.

How Was the Data Analysed?

If you have chosen to use quantitative research methods, you will need to prepare the data before analysing it – for example, you will need to check for variables, missing data and outliers. If you have used computer software to aid with analysis, information on this should also be included.

For qualitative data, you will need to categorise and code the ideas and themes that are identified from the raw data. You may also need to use techniques such as narrative analysis or discourse analysis to interpret the meaning behind responses given.

What Materials and Equipment Were Used During the Research?

This could include anything from laboratory equipment used in a scientific experiment to computer software used to analyse the results.

Were There Any Hurdles or Difficulties Faced During the Research?

If so, what were they and how did you manage to overcome them? This could be anything from difficulties in finding participants, problems obtaining consent or a shortage of the required resources needed to conduct a scientific experiment.

This paragraph should be used to evaluate the research you have conducted and justify your reasons for choosing this approach.

You do not need to go into great detail, as you will present and discuss your results in-depth within your dissertation’s ‘Results’ section.

You will need to briefly explain whether your results were conclusive, whether there were any variables and whether your choice of methodology was effective in practice.

Tips for Writing Your Dissertation Methodology

The objective for the methodology is not only to describe the methods that you used for your research. You will also need to demonstrate why you chose to use them and how you applied them.

The key point is to show that your research was conducted meticulously.

Try to keep your writing style concise and clear; this will ensure that it is easy for the reader to understand and digest.

Here are five top tips to consider when writing your dissertation methodology:

1. Look at Other Methodology Sections

Ask your supervisor to provide you with a few different examples of previously written dissertations. Reading through methodologies that have been written by past students will give you a good idea of what your finished methodology section should look like.

2. Plan Your Structure

Whichever research methods you have chosen to use, your dissertation methodology should be a clearly structured, well written section that gives a strong and justified argument for your chosen research methods.

You may wish to use headings such as:

Research methods
Explanation of research methods chosen
Data analysis and references

Once you have drafted an outline, ask your supervisor for advice on whether there is anything you have missed and whether your structure looks logical.

3. Consider Your Audience

When writing your methodology, have regard for the people who are likely to be reading it. For example, if you have chosen to use research methods that are commonly chosen within your area of research or discipline, there is no need to give a great deal of justification or background information.

If you decide to use a less popular approach, it is advisable to give much more detailed information on how and why you chose to use this method.

4. Remain Focused on Your Aims and Research Questions

Your dissertation methodology should give a clear indication as to why the research methods you have chosen are suitable for the aims of your research.

When writing your dissertation methodology, ensure that you link your research choices back to the overall aims and objectives of your dissertation. To help you to remain focused, it can be helpful to include a clear definition of the question you are aiming to answer at the start of your methodology section.

5. Refer to Any Obstacles or Difficulties That You Dealt With

If you faced any problems during the data collection or analysis phases, use the methodology section to talk about what you did to address these issues and minimise the impact.

Whether you are completing a PhD or master's degree, writing your thesis or dissertation methodology is often considered to be the most difficult and time-consuming part of completing your major research project.

The key to success when writing a methodology section is to have a clear structure. Remember, the purpose of the methodology section of your research project is to ensure that the reader has a full understanding of the methods you have chosen.

You should use your methodology section to provide clear justification as to why you have chosen a particular research method instead of other potential methods. Avoid referring to your personal opinions, thoughts or interests within your methodology; keep the information that you include factual and ensure that everything is backed up by appropriate academic references.

You might also be interested in these other Wikijob articles:

Postgraduate/Master’s Personal Statements

Or explore the Postgraduate / PHD sections.

Library Guides

Dissertations 4: methodology: methods.

Introduction & Philosophy
Methodology

Primary & Secondary Sources, Primary & Secondary Data

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

Definitions

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

Secondary sources

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

Primary sources

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

Primary data

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

Secondary data

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

Comparison between primary and secondary data

Use

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

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

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

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

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

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

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

Quantitative, Qualitative & Mixed Methods

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

Quantitative research

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

Qualitative research 

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

Mixed methods

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

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

Ultimately, your methodology chapter should state:

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

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

Why you rejected other methods.

How well the method served your research.

The problems or limitations you encountered.

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

LinkedIn Learning Video on Academic Research Foundations: Quantitative

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

Link to quantitative research video

Some Types of Methods

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

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

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

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

ethical considerations (see also tab...)

safety considerations

validity

feasibility

recording

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

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

Experiments

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

For more information on Scientific Method, click here .

Observations

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

Questionnaires and surveys

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

Interviews

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

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

Focus groups

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

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

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

Case study

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

Content analysis

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

Extra links and resources:

Research Methods

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

Doing your dissertation during the COVID-19 pandemic

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

Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

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

Case Study Research

Research Ethics

Quantitative Content Analysis

Sequential Analysis

Qualitative Content Analysis

Thematic Analysis

Social Media Research

Mixed Method Research

Procedural Method

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

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

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

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

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

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

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

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

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

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

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

Bibliography

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

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

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

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

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How it works

Chapter 3 – Dissertation Methodology (example)

Disclaimer: This is not a sample of our professional work. The paper has been produced by a student. You can view samples of our work here . Opinions, suggestions, recommendations and results in this piece are those of the author and should not be taken as our company views.

Type of Academic Paper – Dissertation Chapter

Academic Subject – Marketing

Word Count – 3017 words

Introduction

The current chapter presents developing the research methods needed to complete the experimentation portion of the current study. The chapter will discuss in detail the various stages of developing the methodology of the current study. This includes a detailed discussion of the philosophical background of the research method chosen. In addition to this, the chapter describes the data collection strategy, including the selection of research instrumentation and sampling. The chapter closes with a discussion on the analysis tools used to analyse the data collected.

Selecting an Appropriate Research Approach

Creswall (2013) stated that research approaches are plans and procedures that range from steps, including making broad assumptions to detailed methods of data collection, analysis, and interpretation. The several decisions involved in the process are used to decide which approach should be used in a specific study that is informed using philosophical assumptions brought to the study (Creswall 2013). Included in this are procedures of inquiry or research designs and specific research methods used for data collection, its analysis, and finally, its interpretation. However, Guetterman (2015); Lewis (2015); and Creswall (2013) argue that the selection of the specific research approach is based on the nature of the research problem, or the issue that is being addressed by any study, personal experiences of the researchers’, and even the audience for which the study is being developed for.

There are many ways to customise research approaches to develop an approach most suited for a particular study. However, the main three categories with which research approaches are organised include; qualitative, quantitative, and mixed research methods. Creswall (2013) comments that all three approaches are not considered so discrete or distinct from one another. Creswall (2013) states, “qualitative and quantitative approaches should not be viewed as rigid, distinct categories, polar opposite, or dichotomies” (p.32). Newmand and Benz (1998) pointed out that quantitative and qualitative approaches instead represent different ends on a continuum since a study “tends” to be more quantitative than qualitative or vice versa. Lastly, mixed methods research resides in the middle of the continuum as it can incorporate elements and characteristics of both quantitative and qualitative approaches. Lewis (2015) points out that the main distinction that is often cited between quantitative and qualitative research is that it is framed in terms of using numbers rather than words; or using closed-ended questions for quantitative hypotheses over open-ended questions for qualitative interview questions. Guetterman (2015) points out that a clearer way of viewing gradations of differences between the approaches is to examine the basic philosophical assumptions brought to the study, the kinds of research strategies used, and the particular methods implemented in conducting the strategies.

Underlying Philosophical Assumptions

An important component of defining the research approach involves philosophical assumptions that contribute to the broad research approach of planning or proposing to conduct research. It involves the intersection of philosophy, research designs and specific methods as illustrated in Fig. 1 below.

Figure 3.2-1- Research Onion (Source; Saunders and Tosey 2013)

Slife and Williams (1995) have argued that philosophical ideas have remained hidden within the research. However, they still play an influential role in the research practice, and it is for this reason that it is most identified. Various philosophical assumptions are used to construct or develop a study. Saunders et al. (2009) define research philosophy as a belief about how data about a phenomenon should be gathered, analysed and used. Saunders et al. (2009) identify common research philosophies such as positivism, realism, interpretivism, subjectivism, and pragmatism. Dumke (2002) believes that two views, positivism and phenomenology, mainly characterise research philosophy.

Positivism reflects acceptance in adopting the philosophical stance of natural scientists (Saunders, 2003). According to Remenyi et al. (1998), there is a greater preference in working with an “observable social reality” and that the outcome of such research can be “law-like” generalisations that are the same as those which are produced by physical and natural scientists. Gill and Johnson (1997) add that it will also emphasise a high structure methodology to allow for replication for other studies. Dumke (2002) agrees and explains

that a positivist philosophical assumption produces highly structured methodologies and allows for generalisation and quantification of objectives that can be evaluated by statistical methods. For this philosophical approach, the researcher is considered an objective observer who should not be impacted by or impact the subject of research.

On the other hand, more phenomenological approaches agree that the social world of business and management is too complex to develop theories and laws similar to natural sciences. Saunders et al. (2000) argue that this is the reason why reducing observations in the real world to simple laws and generalisations produces a sense of reality which is a bit superficial and doesn’t present the complexity of it.

The current study chooses positivistic assumptions due to the literature review’s discussion of the importance of Big Data in industrial domains and the need for measuring its success in the operations of the business. The current study aims to examine the impact that Big Data has on automobile companies’ operations. To identify a positive relationship between Big Data usage and beneficial business outcomes, the theory needs to be used to generate hypotheses that can later be tested of the relationship which would allow for explanations of laws that can later be assessed (Bryman and Bell, 2015).

Selecting Interpretive Research Approach

Interpretive research approaches are derived from the research philosophy that is adopted. According to Dumke (2002), the two main research approaches are deductive and inductive. The inductive approach is commonly referred to when theory is derived from observations. Thus, the research begins with specific observations and measures. It is then from detecting some pattern that a hypothesis is developed. Dumke (2002) argues that researchers who use an inductive approach usually work with qualitative data and apply various methods to gather specific information that places different views. From the philosophical assumptions discussed in the previous section, it is reasonable to use the deductive approach for the current study. It is also considered the most commonly used theory to establish a relationship between theory and research. The figure below illustrates the steps used for the process of deduction.

Data Collection

confirmed or rejected
Revision of theory

Based on what is known about a specific domain, the theoretical considerations encompassing it a hypothesis or hypotheses are deduced that will later be subjected to empirical enquiry (Daum, 2013). Through these hypotheses, concepts of the subject of interest will be translated into entities that are rational for a study. Researchers are then able to deduce their hypotheses and convert them into operational terms.

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Justifying the Use of Quantitative Research Method

Saunders (2003) notes that almost all research will involve some numerical data or even contain data quantified to help a researcher answer their research questions and meet the study’s objectives. However, quantitative data refers to all data that can be a product of all research strategies (Bryman and Bell, 2015; Guetterman, 2015; Lewis, 2015; Saunders, 2003). Based on the philosophical assumptions and interpretive research approach, a quantitative research method is the best suited for the current study. Haq (2014) explains that quantitative research is about collecting numerical data and then analysing it through statistical methods to explain a specific phenomenon. Mujis (2010) defends the use of quantitative research because, unlike qualitative research, which argues that there is no pre-existing reality, quantitative assumes that there is only a single reality about social conditions that researchers cannot influence in any way. Also, qualitative research is commonly used when there is little to no knowledge of a phenomenon, whereas quantitative research is used to find the cause and effect relationship between variables to either verify or nullify some theory or hypothesis (Creswall 2002; Feilzer 2010; Teddlie and Tashakkori 2012).

Selecting an Appropriate Research Strategy

There are many strategies available to implement in a study, as evidenced from Fig. 1. There are many mono-quantitative methods, such as telephone interviews, web-based surveys, postal surveys, and structured questionnaires (Haq 2014). Each instrument has its own pros and cons in terms of quality, time, and data cost. Brymand (2006); Driscoll et al. (2007); Edwards et al. (2002); and Newby et al. (2003) note that most researchers use structured questionnaires for data collection they are unable to control or influence respondents, which leads to low response rates but more accurate data obtained. Saunders and Tosey (2015) have argued that quantitative data is simpler to obtain and more concise to present. Therefore, the current study uses a survey-based questionnaire (See Appendix A).

Justifying the use of Survey Based Questionnaire

Surveys are considered the most traditional forms of research and are used in non-experimental descriptive designs that describe some reality. Survey-based questionnaires are often restricted to a representative sample of a potential group of the study’s interest. In this case, it is the executives currently working for automobile companies in the UK. The survey instrument is then chosen for its effectiveness at being practical and inexpensive (Kelley et al., 2003). Due to the philosophical assumptions, interpretive approach, and methodological approach, the survey design for the current study is considered the best instrument in line with these premises, besides being cost-effective.

Empirical Research Methodology

Research design.

This section describes how research is designed to use the techniques used for data collection, sampling strategy, and data analysis for a quantitative method. Before going into the strategies of data collection and analysis, a set of hypotheses were developed.

Hypotheses Development

The current study uses a quantitative research approach, making it essential to develop a set of hypotheses that will be used as a test standard for the mono-method quantitative design. The following are a set of hypotheses that have been developed from the examination of the literature review.

H1- The greater the company’s budget for Big Data initiatives (More than 1 million GBP), the greater its ability to monetise and generate new revenues.

H2- The greater the company’s budget for Big Data initiatives (More than 1 million GBP) the more decrease in expenses in found.

H3- The greatest impact of Big Data on a company is changing the way business is done.

H4- Big Data integrating with a company has resulted in competitive significance.

H5- The analytical abilities of a company allows for achieved measurable results.

H6- Investing in Big Data will lead to highly successful business results.

H7- A business’s operations function is fuelling Big Data initiatives and effecting change in operations.

H8- The implementation of Big Data in the company has positive impacts on business.

This section includes the sampling method used to collect the number of respondents needed to provide information, then analysed after collection.

Sampling Method

Collis (2009) explains that there are many kinds of sampling methods that can be used for creating a specific target sample from a population. This current study uses simple random sampling to acquire respondents with which the survey will be conducted. Simple random sampling is considered the most basic form of probability sampling. Under the method, elements are taken from the population at random, with all elements having an equal chance of being selected. According to () as of 2014, there are about thirty-five active British car manufacturers in the UK, each having an employee population of 150 or more. This is why the total population of employees in car manufacturers is estimated to be 5,250 employees. The sample, therefore, developed used the following equation;

2 × (1 − )

+( 2 × (1− ) ) 2

Where; N is the population size, e is the margin of error (as a decimal), z is confidence level (as a z-score), and p is percentage value (as a decimal). Thus, the sample size is with a normal distribution of 50%. With the above equation, a population of 5,250; with a 95% confidence level and 5% margin of error, the total sample size needed for the current equals 300. Therefore, N=300, which is the sample size of the current study.

The survey develops (see Appendix A) has a total of three sections, A, B, and C, with a total of 39 questions. Each section has its own set of questions to accomplish. The survey is a mix of closed-end questions that look to comprehend the respondents’ demographic makeup, the Big Data initiatives of the company, and the impact that Big Data was having on their company. The survey is designed to take no longer than twenty minutes. The survey was constructed on Survey Monkey.com, and an online survey provided website. The survey was left on the website for a duration of 40 days to ensure that the maximum number of respondents were able to answer the survey. The only way that the survey was allowed for a respondent is if they passed a security question as if they were working for an automobile company in the UK when taking the survey. Gupta et al. (2004) believe that web surveys are visual stimuli, and the respondent has complete control about whether or how each question is read and understood. That is why Dillman (2000) argued that web questionnaires are expected to resemble those taken through the mail/postal services closely.

Data Analysis

The collected data is then analysed through the Statistical Package for Social Science (SPSS) version 24 for descriptive analysis. The demographic section of the survey will be analysed using descriptive statistics. Further analysis of the data includes regression analysis. Simple regression analysis includes only one independent variable and one dependent variable. Farrar and Glauber (1967) assert that the purpose of regression analysis is to estimate the parameters of dependency, and it should not be used to determine the interdependency of a relationship.

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Conclusions.

The chapter provides a descriptive and in-depth discussion of the methods involved in the current study’s research. The current study is looking towards a quantitative approach that considers positivism as its philosophical undertaking, using deductive reasoning for its interpretive approach, is a mono-quantitative method that involves the use of a survey instrument for data collection. The methodology chapter also provided the data analysis technique, which is descriptive statistics through frequency analysis and regression analysis.

Examples of results;

Question 8- Of these staff, are mostly working in or for your consumer-facing (B2C) businesses, your commercial or wholesale (B2B) businesses, or both?

Based on the illustration, nineteen (19) respondents indicated that 501-1000 employees are dedicated to analytics for both B2B and B2C. The category of using Big Data analytics for both B2B and B2C comprises the most agreement of respondents with 72 of 132 indicated.

The category of using Big Data analytics

The figure above represents the respondents’ answers to their automobile company’s plan for measuring Big Data’s success. Of the 132 participants, 44.70 per cent responded that the company is planning on using quantitative metrics associated with business performance to analyse if Big Data is actually successful. Another, 30.30 per cent indicated that their company was planning on using qualitative metrics tied to business performance. Using business performance to analyse the success of Big Data is coherent to the results of the literature review that indicated previous studies of doing such. As an automobile company, they need to know the results of using Big Data analytics, and that is only by using business performance indicators regardless of being qualitative or quantitative.

Fig. 4.3-6 portrays the response of participants in regards to actually achieving measurable results from Big Data. According to 68.18 per cent of respondents, the company that they worked for did indeed show measurable results from their investments in Big Data. However, 31.82 per cent indicated that there was indeed no measurable result in investing in Big Data.

Bryman, A., Bell, E., 2015. Business Research Methods. Oxford University Press.

Daum, P., 2013. International Synergy Management: A Strategic Approach for Raising Efficiencies in the Cross-border Interaction Process. Anchor Academic Publishing (aap_verlag).

Dümke, R., 2002. Corporate Reputation and its Importance for Business Success: A European

Perspective and its Implication for Public Relations Consultancies. diplom.de.

Guetterman, T.C., 2015. Descriptions of Sampling Practices Within Five Approaches to Qualitative Research in Education and the Health Sciences. Forum Qualitative Sozialforschung /

Forum: Qualitative Social Research 16.

Haq, M., 2014. A Comparative Analysis of Qualitative and Quantitative Research Methods and a Justification for Adopting Mixed Methods in Social Research (PDF Download Available).

ResearchGate 1–22. doi:http://dx.doi.org/10.13140/RG.2.1.1945.8640

Kelley, K., Clark, B., Brown, V., Sitzia, J., 2003. Good practice in the conduct and reporting of survey research. Int J Qual Health Care 15, 261–266. doi:10.1093/intqhc/mzg031

Lewis, S., 2015. Qualitative Inquiry and Research Design: Choosing Among Five Approaches.

Health Promotion Practice 16, 473–475. doi:10.1177/1524839915580941

Saunders, M., 2003. Research Methods for Business Students. Pearson Education India.

Saunders, M.N.K., Tosey, P., 2015. Handbook of Research Methods on Human Resource

Development. Edward Elgar Publishing.

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From Zendaya to Margot Robbie, 'method dressing' is the latest trend sweeping Hollywood's red carpets

A close up of Zendaya against an orange backdrop wearing a metallic silver robot suit

Zendaya served in more ways than one when she arrived at the world premiere of her latest film, Challengers, in Sydney.

Her green sequined gown featured the shadowed silhouette of a tennis player, racket in hand, readying herself to smash a glittering tennis ball.

It's yet another example of what the 27-year-old's stylist calls "method dressing," where stars are donning increasingly thematic outfits as they take their storytelling beyond the big screen.

Main character energy

In Challengers, Zendaya plays Tashi, a tennis prodigy turned coach who transforms her husband into a grand slam champion.

With that in mind, her global press tour has been a showcase of sporty yet sophisticated cuts, court-side green tones and crisp tennis whites worthy of a place at Wimbledon.

Swipe through Zendaya's sporty Challengers wardrobe

Zendaya poses in a glittering green gown where black sequins illustrate the shadow of a tennis player serving

The film's costume designer Jonathan Anderson created this custom gown.

Zendaya wears a glittering dress made to look like a tennis uniform, with tennis balls forming her high heels

Zendaya paired this glitzy uniform with tennis ball stilettos in Rome.

Zendaya, with her hair in a braid, poses in a white gown with little embroidered tennis rackets

In London, tennis racket details were paired with Tashi's signature braid.

Zendaya smiles softly in a white and green checkered coat, white heels and a white headband on a manicured lawn

Promoting the film in Paris took a preppy turn with this checkered coat.

Zendaya smiles as she struts in a silky light green button-down and pant combination.

Zendaya looked like a glamorous tennis ball in this silky green suit.

Zendaya poses for a photo in a white skirt and blazer with no shirt underneath, and just a diamond necklace

Zendaya embodied her character with this lesson in power dressing.

"We are constantly trying to be inspired by the film," Zendaya told Vogue at the film's premiere in Rome.

"Whether that be literally – like this morning I had tennis balls in my shoes – or more just the essence of the character or a concept or an idea."

It's hardly the first time the actor has channelled her on-screen counterpart on the red carpet.

For the release of sci-fi epic Dune: Part Two earlier this year, Zendaya wore an array of futuristic looks when promoting the film featuring architectural designs, daring cutouts and metallic details.

Swipe through Zendaya's Dune: Part Two red carpet wardrobe

Zendaya poses fashionably on a sandy red carpet in a silver robotic suit

Vintage Mugler was a show-stopper at the London premiere.

Zendaya poses in a white long-sleeved gown with a narrow mesh cutout that shows off her hips

Another couture gown was selected for the New York City premiere.

Zendaya poses in a long-sleeved grey top and matching pencil skirt that's covered in red sequins that look like computer coding

This archive Givenchy two-piece was worn in Seoul.

Zendaya poses in her hands on her hips in a low rise ballgown skirt and matching top that has a gathered collar

This custom Louis Vuitton look was created for the Paris premiere.

Zendaya poses in a low-rise skirt and high cut crop top that are both made of material that is wrapped and draped around her

In Mexico City, Zendaya wore custom Torishéju for a photo call...

Zendaya wears a long-sleeved brown sweater that’s cropped high with a matching skirt with a slit

... and custom Bottega Veneta for the premiere.

But one look in particular went viral – the vintage haute couture 'robot' suit designed by Thierry Mugler worn at the film's London premiere.

The cyborg ensemble had been so closely guarded by the fashion house that it hadn't been worn since it first debuted on the Parisian runway in 1995.

The avant-garde creation is not for the faint of heart – Zendaya later revealed she was light-headed within minutes as the metal traps heat – but it became a viral fashion moment instantly.

"We adopted method dressing," Law Roach, Zendaya's longtime stylist, told Vogue during the Dune: Part Two press tour, riffing off the concept of "method acting."

"The looks served as an extension of the wardrobe from the movie; it was intentional and purposeful."

Margot Robbie also epitomised method dressing during her months-long Barbie press tour.

Robbie's stylist, Andrew Mukamal, worked with various designers to curate countess life-sized recreations pulled straight from the iconic doll's wardrobe.

Margot Robbie raided Barbie's closet for the film's press tour

Margot smiles on the red carpet in a pink gown with a fluffy white trim around the shoulders

For the London premiere, Margot wore a recreation of 'Enchanted Evening Barbie' from 1960.

Margot poses for a photo in a short patterned dress with long hair inspired by Barbie

Off the red carpet, Margot recreated the 'Totally Hair Barbie' look from 1992.

Margot robbie wearing a hot pink mini skirt, studded with rhinestones, as well as a matching crop top, jacket and pillbox hat

For another appearance, Margot channelled 'Sparkling Pink Barbie' from 1964.

Margot smiles over her shoulder in a hot pink sequined halter neck gown with a matching boa

This Golden Globes look was inspired by 'Superstar Barbie' from 1977.

Margot smiles for a photo, dressed in a hot pink dress and huge dangling silver earrings

Another recreated look was this 'Earring Magic Barbie' look from 1992.

Margot smiles in a black sequined gown, diamond necklace and holds a pink sheer handkerchief

At the LA premiere, Margot recreated the 1960 'Solo in the Spotlight Barbie' look.

Liana Rossi, head of culture and influence at advertising agency Ogilvy, says "if you look at that explosion of media coverage that was just about the looks after the film, the proof is in the pudding that there's something that works there."

"I think in terms of getting people's attention now beyond watching a film trailer this seems to be like it'll be a really fruitful territory."

This level of thematic dressing for such extended periods of time wasn't always the case, according to journalist, editor and brand strategist Isabelle Truman.

"Actors used to use awards shows and red carpets as a kind of palette cleanser for future projects, wearing looks that were relatively safe, classic and timeless to avoid being typecast by the industry or the public – which, in turn, impacts jobs they're offered – and appear as a blank canvas ready to be recast," she told ABC News.

"The choice by Margot Robbie and her stylist to instead use the opportunity to further promote the film through fashion during its press run was smart and refreshing, especially after we'd been starved of any red carpet moments, let alone fun and conceptual ones, for so long due to the pandemic."

Robbie was a producer on Barbie, so her ties to the film and its success go deeper than your average lead, Truman adds.

"But I think it's exciting to see Zendaya adopt a similar ethos of dressing on theme."

Former Vogue Australia editor Kirstie Clements says the scale of method dressing encapsulates how the fashion and entertainment industries are "completely intertwined now."

"In a way, the purist idea of fashion from before has been completely hijacked by the entertainment industry. They're completely symbiotic," she told ABC News.

And in Ms Clement's view, "stylists have become celebrities themselves."

From stylist to 'image architect'

Law Roach has been styling Zendaya for years, with the pair first working together when she was a 14-year-old acting on the Disney show Shake It Up.

Zendaya, wearing a diamond necklace, sits next to Law Roach, in sunglasses, front row at a fashion show

Fast forward to now and Law Roach boasts more than 1.4 million Instagram followers and refers to himself as an 'image architect' rather than a stylist.

For Ms Clements, stylists finding celebrity status has "been coming for a while and now it's completely kicked off."

"You've got Pharrell [Williams] as the designer of menswear over at Louis Vuitton and he's really a music producer and not trained in fashion design.

"The whole world's become merged."

In Ms Rossi's view, "Law Roach is a genius and image architect is a really brilliant articulation."

"As we look at the kind of images that proliferate culture and the way that celebrities garner our attention increasingly, it's not necessarily new but I think the storytelling through fashion is open to a lot of interpretation," she says.

"It can be really creative, it can be very layered. It has the opportunity to really speak to fandoms but also connect with new audiences, which is what I think makes it so powerful."

Dakota Johson and Sydney Sweeney pose in a red carpet, both wearing spider web inspired gowns

With method dressing, "it's a fine line between costume and inspired look," Ms Rossi says, "and I don't know that it's necessarily the worst thing to straddle."

"I think in the context of Barbie you had audiences, myself included, hitting cinemas dressed head to toe in hot pink."

Ms Rossi says the Gentleminions trend – which saw hoards of teenage boys wearing suits to screenings of Minions: The Rise of Gru – is another example of how audiences found a sense of participation in cinema.

"I think fandoms and building cultural moments can be really lucrative for the talent, for the franchise, for the studio network, for the audience, kind of for everyone," she says.

"And it can be quite joyful, which I think is what a lot of people are looking for."

No room for error

For Ms Truman, the trend among celebrities of method dressing "makes fashion fun."

"I also think with actors today having so much more of a voice and perspective anyway, that old-school notion [of dressing as a blank canvas] is kind of redundant," she says.

"Jacob Elordi wearing women's purses isn't going to make him any less likely to portray a hunky man in a blockbuster, for example."

Jacob wears black sunglasses, a black jumpsuit and accessorises with a black leather crossbody handbag

"I do miss the days when stylists weren't as necessary," she adds.

"In the early aughts pre-iPhones when celebrities like Paris Hilton and Nicole Richie would dress themselves and be really fun and experimental.

"Today, there's no room for error, which is why it's so essential to get the right stylist who understands intrinsically exactly what they're doing."

Ms Rossi says the SAG-AFTRA strikes that shut down Hollywood for months "really showed us that we need [press tours] in the context of marketing and earning attention in PR for films."

"But broadly speaking, you've got a pretty hard world," she says.

"I think a lot of people are looking for joy and fun."

X (formerly Twitter)

'Find pink. Wear pink': Great fan fits from the Barbie screening

A compilation image of fans smiling in their Barbie costumes, with a glittery pink backdrop.

Some call him a St Kevin's boy, others a babygirl. Why is the internet obsessed with Jacob Elordi?

A close up of a man's face, smoke surround him

Dune: Part Two is an epic cinematic experience, but does it do justice to the beloved original story?

Close up film still of Timothée Chalamet in costume with a breathing tube in his nose and very blue eyes

'Straight and strait-jacketed': Behind the pink plastic veneer, this Barbie movie is bland

A blonde white woman wearing a blue and white striped halter-neck and matching headband drives a bright pink car.

Dakota Johnson has charisma to burn, but even she can't save this abysmal superhero movie

A brunette woman in a paramedic uniform looks up in shock in an action shot from Madame Web.

Arts, Culture and Entertainment
Celebrities
Film (Arts and Entertainment)
Film Industry
Popular Culture
United States

Methodology for Fortune’s ranking of the best part-time MBA programs

Part-time MBA programs are the flexible choice. Whether you’re working a full-time job or need to dedicate more time to family at home, part-time MBAs are designed for those with a busy schedule but still want to advance in their careers.

But with there being a large number of universities with part-time versions, it can be difficult to dig through the weeds and find a program that truly fits your mold. While location often plays a major role in the decision-making, a part-time MBAs rigor and prestige are still important for many candidates.

UNC Kenan-Flagler’s top-ranked online MBA

To make the process even just slightly easier, Fortune Education has sought to rank the best part-time MBA . For 2024, we ranked 50 programs.

In formulating our ranking, we considered a variety of factors such as price, student backgrounds, and alumni outcomes. Since no program is the same—with varying timelines, outcomes collection, and curriculum—no ranking is perfect. However, after consultation with our expert panel, we utilized indicators that we felt best judged the part-time MBA ecosystem for 2024.

Here are the data points we used:

Fortune collected-data:

We looked at the leaders of America’s 1000 biggest companies to see if they had obtained an MBA—and from which school. We analyzed each CEO, CFO, as well as technology lead (whether that be CIO, CTO, or CISO). The more Fortune 1000 C-level placement, the higher the school’s Fortune 1000 Score. A school’s score includes Fortune 1000 C-levels who graduated with an MBA from the school, regardless of the type of MBA program.
We looked at the average number of times during a month that people search for each business school on Google, then converted it into a yearly metric to measure public perception of a school’s brand and reputation and how it affected what school they were interested in attending.

School-provided data:

Size of 2022–2023 graduating class: 10%
Out-of-state annual tuition: 5%
Graduation rate, 2020–23: 12.5%
One-year retention rate, 2022–23: 12.5%
Acceptance rate, fall 2023: 8%
Yield, 2023–24 (matriculates/admits): 8%
Average undergraduate GPA, 2023–23 enrollees: 6%
Average number of years of work experience, 2023–24 entrants : 8%

Our expert panel

In preparation for the release of our ranking, Fortune discussed the MBA world with two experts who have worked directly with business schools, admissions counselors, and prospective students for a number of years:

Esther Magna : Principal MBA Admissions Consultant, Stacy Blackman Consulting
Rachel Beck : MBA Admissions Managing Director, mbaMission

By asking questions about the importance of MBA education, different types of programs, and the skills needed to succeed, we hoped to better understand how to effectively guide those pursuing a career in the field. It’s noteworthy that neither expert was directly involved in ranking any programs.

‘Fit is everything’

The world of business is constantly changing. MBAs are no exception—in terms of curriculum as well as student interest.

In fact, the demand for MBAs is counter cyclical to the economy . Magna says that during the pandemic, there was a large surge in MBA demand, and each year since then has, as expected, seen slightly year-over-year declines.

Moreover, an increase in tech layoffs over the past two years has also made some more hesitant about being able to get a coveted job at a top tech company like Google, Amazon, or Meta after an MBA is complete.

“The reality is that those that are happily employed, and see career progression within their current roles, and don’t see the greater purpose for the MBA—which is advancing long term career aspirations—might think twice right now because of certain variables, such as the economy,” Magna says.

But for part-time MBAs in particular, the thought process may be different since students are often employed during the program and are more so looking to advance vertically. So, what are the biggest keys to success? According to Magna, they are:

Self-awareness
Data-driven decision-making

Because ultimately there isn’t a ton of time for MBA candidates to simply be a dreamer and think about career goals, the earlier you know your strengths and weaknesses as well as passions and purposes, the better off you will be, Magna says. To achieve this, she encourages individuals to network, ask curious questions, and find mentors—sooner rather than later.

Above all, when picking a program, Magna notes, “fit is everything.” While brand and reputation are important factors, location is especially crucial for part-time programs.

“If you have a fantastic job where you don’t want to leave, and you’re considering part time programs, the geographic access is probably more important than whether they’re ranked number seven and number 12,” she says.

Part-time MBAs: the ‘stepchild’

Beck notes that the part-time MBA is almost like the “stepchild” to full-time programs, since the latter tend to get more attention. In fact, many of the M7 Business Schools , such as Harvard, Stanford, and Columbia, do not even have part-time programs.

Regardless, the part-time MBA still has many added benefits. Namely the ability to continue working.

“A lot of people who are in the part time program might want to grow within their companies—like that might be a plan for them—or they feel the need to get an MBA to reach a next level or to pivot into another industry,” she says. “There’s a lot of different reasons why people get a part time MBA, and it’s just a wider pool of experience, and backgrounds,”

Additionally, one of the additional perks of the part-time MBA is that students can start applying learned tools and soft skills the next day in their careers.

When it comes to selecting a specific program, Beck agrees with Magna in that location is a large factor

“I just think that you’re kind of stuck going with a part time program based on where you live and work,” she explains. “You’re not doing a part time program in Boston, if you live in Philadelphia.”

Ultimately, she advises candidates to find a program that is perfect for them, their careers, and their life circumstances.

“But what makes schools more coveted than other schools? They have great placement. They have great professors, they have great networks, they’re teaching on the cutting edge. Those are things that make business schools stand out versus other business schools,” she says.

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Norway's health minister resigns after plagiarism accusation in latest scandal to rock the Cabinet

COPENHAGEN, Denmark — Norway’s health minister resigned Friday, the second Norwegian government member to step down this year amid allegations they plagiarized academic works.

Ingvild Kjerkol resigned a day after a probe by Nord University in Bodoe in northern Norway, where Kjerkol, handed in her master thesis in 2021, concluded that “there is a not insignificant amount of plagiarism in her master’s thesis.”

“We have come to the conclusion that Ingvild should resign as minister,” Prime Minister Jonas Gahr Støre told a press conference. He said the probe had concluded the plagiarism was “intentional.”

Kjerkoll said she and a co-author “did not intend to plagiarize other people’s assignments.”

“Although it hurts not to be believed, we have to deal with the fact that (the university) is of a different opinion,” she said at a joint press conference with Gahr Støre.

The 48-year-old Kjerkol has been in office since October 2021 when Gahr Støre presented a coalition government of his own Labor party and the junior Center Party.

Kjerkol is the second government member to be entangled in academic plagiarism allegations this year.

In January, Sandra Borch stepped down as minister for research and higher education after a student discovered that parts of Borch’s master’s thesis, including spelling mistakes, were copied without attribution from a different author.

Gahr Støre’s coalition has seen the departure of several ministers in recent months over other wrongdoings. In September, it was revealed that the husband of then Foreign Minister Anniken Huitfeldt had been trading in stocks for years behind her back and that could potentially enrich her.

In September, the ruling social democratic Labor party was defeated in local elections by the conservative Hoeyre, the main opposition party, for the first time since 1924. The party, which for decades was Norway’s largest party in local elections, came in second in the Sept. 11 elections for local councils in Norway’s 356 municipalities and 11 counties .

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What Is a Research Methodology?
Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic.
Dissertation Methodology
The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation: ... This is an important part of the publication process if you aim to publish your dissertation in a peer-reviewed journal. Establishes the ...
How To Write The Methodology Chapter
Do yourself a favour and start with the end in mind. Section 1 - Introduction. As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims. As we've discussed many times on the blog ...
A Complete Guide To Dissertation Methodology
The methodology is perhaps the most challenging and laborious part of the dissertation. Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the 'how' part of your research.
Dissertation Structure & Layout 101 (+ Examples)
The methodology, results and discussion chapters go about undertaking new research about this question. The conclusion chapter (attempts to) ... Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills. Therefore, the markers want to see that you know which methods to use, can ...
Writing your Dissertation: Methodology
A key part of your dissertation or thesis is the methodology. This is not quite the same as 'methods'. The methodology describes the broad philosophical underpinning to your chosen research methods, including whether you are using qualitative or quantitative methods, or a mixture of both, and why. You should be clear about the academic ...
How to Write an APA Methods Section
The main heading of "Methods" should be centered, boldfaced, and capitalized. Subheadings within this section are left-aligned, boldfaced, and in title case. You can also add lower level headings within these subsections, as long as they follow APA heading styles. To structure your methods section, you can use the subheadings of ...
Research Methodology Chapter: 5 Tips & Tricks
The methodology chapter is a crucial part of your dissertation or thesis - it's where you provide context and justification for your study's design. This in turn demonstrates your understanding of research theory, which is what earns you marks.. Over the years, we've helped thousands of students navigate this tricky section of the research process.
Writing the Dissertation
Guide contents. As part of the Writing the Dissertation series, this guide covers the most common conventions found in a methodology chapter, giving you the necessary knowledge, tips and guidance needed to impress your markers! The sections are organised as follows: Getting Started - Defines the methodology and its core characteristics.; Structure - Provides a detailed walk-through of common ...
Start
Methodology. Methodology is sometimes used interchangeably with methods, or as the set of methods used in a research. More specifically, as the name would suggest, methodo-logy is the logos, the reasoning, on the methods. It is also referred to as the theory of how research should be undertaken (Saunders, Lewis and Thornhill, 2015, p4).
How Do I Write the Methods Chapter?
The methods chapter is all about describing what you did in a step-by-step style and with as much detail as possible. This chapter of your dissertation should include your protocol, any equipment or instruments that you used and describe what measurements were made and recorded, how you analysed them, and if appropriate, what statistical tests you used.
PDF A Complete Dissertation
6 PART I. TAKING CHARGE OF YOURSELF AND YOUR WORK DISSERTATION CHAPTERS Order and format of dissertation chapters may vary by institution and department. 1. Introduction 2. Literature review 3. Methodology 4. Findings 5. Analysis and synthesis 6. Conclusions and recommendations Chapter 1: Introduction This chapter makes a case for the signifi-
What Is a Dissertation?
A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...
Writing the Research Methodology Section of Your Thesis
A thesis research methodology explains the type of research performed, justifies the methods that you chose by linking back to the literature review, and describes the data collection and analysis procedures.It is included in your thesis after the Introduction section.Most importantly, this is the section where the readers of your study evaluate its validity and reliability.
Dissertation Methodology ~ Definition & Guide
The dissertation methodology is an essential part of your research paper. It shows the reader whether your study is reliable and credible. The methodology outlines the specific research methods and tools you employed, allowing others to replicate or challenge your findings. A well-constructed dissertation methodology not only enhances the integrity of your research but also paves the way for ...
What Is a Research Methodology?
Revised on 10 October 2022. Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research.
6. The Methodology
Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects. 5th edition.Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences.
PDF 3 Methodology
your chosen research method, and describe the process and participants in your study). The Methodology chapter is perhaps the part of a qualitative thesis that is most unlike its equivalent in a quantitative study. Students doing quantitative research have an established conventional 'model' to work to, which comprises these possible elements:
How to Write Your Dissertation Methodology
The key point is to show that your research was conducted meticulously. Try to keep your writing style concise and clear; this will ensure that it is easy for the reader to understand and digest. Here are five top tips to consider when writing your dissertation methodology: 1. Look at Other Methodology Sections.
Dissertations 4: Methodology: Methods
Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method. Questionnaires and surveys.
How to Write Dissertation Methodology: Guidelines & Advice
A good dissertation methodology definition is - it's the part where you show a step-by-step breakdown of the methods used in your research such that other researchers can replicate your results. You don't only justify your methods, you also show how you used them. Now that you understand what a dissertation method is, it's time to learn ...
Chapter 3
Introduction. The current chapter presents developing the research methods needed to complete the experimentation portion of the current study. The chapter will discuss in detail the various stages of developing the methodology of the current study. This includes a detailed discussion of the philosophical background of the research method chosen.
Federal Register :: Indexing Methodology for Title I Manufactured Home
Accordingly, 24 CFR part 201 is corrected by making the following correcting amendments: Start Part PART 201—TITLE I PROPERTY IMPROVEMENT AND MANUFACTURED HOME LOANS End Part Start Amendment Part. 1. The authority for 24 CFR part 201 continues to read as follows: End Amendment Part Start Authority. Authority: 12 U.S.C. 1703; 15 U.S.C. 1639c ...
From Zendaya to Margot Robbie, 'method dressing' is the latest trend
For the release of sci-fi epic Dune: Part Two earlier this year, Zendaya wore an array of futuristic looks when promoting the film featuring architectural designs, daring cutouts and metallic details.
Methodology for Fortune's ranking of the best part-time MBA programs
Our part-time MBA ranking is made up of 10 factors, including Fortune 1000 research, annual search volume, and admissions data. ... Methodology for Fortune's ranking of the best part-time MBA ...
Norway's health minister resigns after plagiarism accusation in latest
COPENHAGEN, Denmark — Norway's health minister resigned Friday, the second Norwegian government member to step down this year amid allegations they plagiarized academic works.

Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology

Types of Dissertation Methodology

Structure of Dissertation Methodology

How to Write Dissertation Methodology

Example of Dissertation Methodology

Where to Write Dissertation Methodology

Advantages of Dissertation Methodology

About the author

Muhammad Hassan

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Writing your Dissertation: Methodology

What to Include in your Methodology

Common Research Methods for the Social Sciences

Observations

Questionnaires

Documentary Analysis

How to Choose your Methodology and Precise Research Methods

Structuring your Methodology

Writing The Methodology Chapter

Overview: Writing The Methodology Chapter

1. Develop an outline before you start writing

2. Take inspiration from other studies

Need a helping hand?

3. Justify every design choice you make

4. Err on the side of too much detail

5. Provide citations to support each design choice

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Writing the Dissertation - Guides for Success: The Methodology

Overview of writing the methodology

Disciplinary differences

Guide contents

Training and tools

What is the methodology?

Methods or methodology?

What are my markers looking for?

Structuring your methodology

The 'research onion'

Introduction and research outline

Research philosophy

Research method

Data collection

Data analysis

Validity and reliability

Reliability

Ethical considerations

Limitations

What to avoid

Ignoring limitations

Literature review of methods

Unnecessary detail

Q: Should the methodology be in the past or present tense?

Q: Should the methodology include secondary literature?

Q: Do you still need to write a methodology for secondary research?

Q: Should the methodology be in the first-person or third?

How Do I Write the Methods Chapter?

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Further Reading

For qualitative methods in particular:

For power calculations:

For help with statistics:

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