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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on August 25, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

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 .

It should include:

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

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, other interesting articles, 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 ? How did you prevent bias from affecting your data?

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 generalizable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalized your concepts and measured your variables. Discuss your sampling method or inclusion and 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 July 4–8, 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.

• Information bias
• Omitted variable bias
• Regression to the mean
• Survivorship bias
• Undercoverage bias
• Sampling bias

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 analyze?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness store’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.

• The Hawthorne effect
• Observer bias
• The placebo effect
• Response bias and Nonresponse bias
• The Pygmalion effect
• Recall bias
• Social desirability bias
• Self-selection bias

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.

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Next, you should indicate how you processed and analyzed 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 analyzing 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 : Categorizing 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 behaviors, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalized 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 generalizable.

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.

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

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

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

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

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.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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• Knowledge Base
• Dissertation
• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

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

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

It should include:

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

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Table of contents

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

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

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

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

Option 1: Start with your “what”

What research problem or question did you investigate?

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

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

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

Option 2: Start with your “why”

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

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

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

Quantitative methods

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

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

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

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

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

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

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

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

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

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

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

Qualitative methods

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

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

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

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

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

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

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

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

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

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

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

Mixed methods

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

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

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

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

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

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

Specific methods might include:

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

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

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

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

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

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

1. Focus on your objectives and research questions

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

2. Cite relevant sources

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

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

3. Write for your audience

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

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

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

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

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

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

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

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

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

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

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

Cite this Scribbr article

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McCombes, S. (2022, October 10). What Is a Research Methodology? | Steps & Tips. Scribbr. Retrieved 18 June 2024, from https://www.scribbr.co.uk/thesis-dissertation/methodology/

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Methodologies

The Methodology is one of the most important and neglected sections in engineering writing. In some documents, such as an undergraduate lab report, the methodology section can be as short as a one-sentence reference to relevant section of the lab manual. But in more advanced labs, the methodology can be a very significant part of the report. In fact, the methodology is often the product of engineering related research: researchers are often looking for appropriate ways of testing or evaluating products, forces, etc., or new methods for accomplishing a required task. In a proposal, the methodology can even be the most important part of the document – the proposal argues that its method for achieving a certain task is the best.

The methodology section of report should accomplish two tasks:

• Should allow readers to, if necessary, reproduce your experiment, design, or method for achieving a task
• Should help readers to anticipate your results

Writing a methodology that does both requires attention to detail and precision. In the following example from a lab report, key elements of the method are missing:

We poured out some distilled water into the container. We then added some of mixture A. We shook the mixture and observed what happened, taking some measurements.

This statement of method is missing some essential elements:

• How much distilled water did you pour?
• How much of the mixture did you add?
• How did you shake it (length, technique)?
• What did you observe, measure?

It is also missing some key details that may or may not be relevant to the experiment:

• What was the container made of?
• How big was it?
• Did you let it settle?

The composition of the container ma be significant because the mixture may react with certain materials; its size is significant, because it may tell us how accurate your measurements were (for example, measuring 5ml in a 1000 ml container would probably result in less accurate measurements than measuring 5ml in a 100ml container). Whether or not the mixture was allowed to settle, and how much time was required, may also determine the results of the reaction.

In revising this statement of method, we want to ensure that we include all of these details to help the reader reproduce the experiment and to anticipate a set of results:

We poured 250ml of distilled water into the 1000ml glass beaker. We then added 50mg of Mixture A. We shook the mixture by gently twirling the beaker around for two minutes. We observed and recorded the changes in mixture color and transparency during our mixing process. Immediately after stopping the mixing process, we recorded the color, translucency, and temperature of the new solution; we repeated these measurements after letting the solution settle for five minutes.

After reading this method, readers should already have expectations for the results: specifically, readers should see three key readings, color, transparency, and temperature taken at three different times, during, immediately after shaking, and after settling (but no temp reading for during stage).

Passive versus Active Voice: The methods section of your report should not be written in an imperative mode – that is, you are not giving people instructions or commands, but describing what was done. But the choice between active and passive voice in your methods is a contentious one. Some readers will prefer the active voice, while others prefer the passive. Both are acceptable; deciding on what voice to use will require some audience analysis (i.e. ask your professor or supervisor). The above passage can easily and unobtrusively be converted to passive:

250ml of distilled water was poured into a 1000ml glass beaker. 50mg of Mixture A was then added to the water. The mixture was gently shaken for two minutes. Changes in mixture color and transparency during our mixing process were observed and recorded. The color, translucency, and temperature of the new solution were recorded immediately after shaking, and after five minutes of settling.

Writing Methods for Other Types of Reports: The above example was taken from a student lab report: you should apply the same attention to detail in writing methods sections for proposals and other types of reports.

The key difference between the methodology in lab report and other types of reports is that in the lab report, the method is often given in the procedure from the manual. In research reports and proposals, the method is something you devise on your own. This adds two tasks to writing the methods: organization and justification.

1. Organization: Organization of the methodology section seems simple enough: the most obvious structure is chronological. However, while organization by chronology is usually the dominant mode of organization, you may not want to describe everything in the order that you did them. For example, you might start a different stage of the methods while waiting for the previous one to finish. Trying to adhere to a strict chronological mode of organization here would not be a good idea. Organizing a methodology section well involves:

Dividing and subdividing the steps into the appropriate key stages/sub-stages Choosing headings / key words that reflect the nature of the stages (i.e. Sample Preparation) Providing an overview of the entire methodology at the beginning of the section

2. Justification: If your method is of your own making, you may also need to justify your choices. Explain clearly why you chose the method that you did – for accuracy, simplicity, etc. – and also identify the implications of using your methods. For example, there may be some limitations that you were forced to accept because of time, cost, or other constraints. Identify these, state why they are acceptable or necessary, and explain the effect they may have on your results (take these into account in your Discussion as well).

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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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This chapter introduces the writing techniques for a clear description of the methodology. Methodology in an engineering publication describes sufficient details using precise language to ensure replicability and reproducibility of the work. However, details for clarity should be presented with conciseness. Techniques introduced in this chapter apply to both modeling and experimental studies.

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Fuller S, Zhao Y, Cliff S, Wexler A, Kalberer M, 2012. Direct surface analysis of time-resolved aerosol impactor samples with ultrahigh-resolution mass spectrometry, Analytical Chemistry 84 (22): 9858-9864.

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Thiel D. 2014. Research Methods for Engineers , Cambridge University Press. https://doi.org/10.1017/CBO9781139542326

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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.

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

• << Previous: The Literature Review
• Next: The Results and Discussion >>
• Last Updated: May 30, 2024 2:45 PM
• URL: https://library.soton.ac.uk/writing_the_dissertation

Thesis Proposal

Note: This article is partially based on the 2017-2018 MechE Graduate Student Guide (PDF) . Please check the latest guide for the most-up to date formatting requirements.

Criteria for Success

A strong thesis proposal…

• Motivates your project and introduces your audience to the state-of-the-art for the problem you’re working on.
• Explains the limitations in the current methods through literature review and/or original analysis. This should also explain why the limitations matter and why they’re the right ones to focus on.
• Clearly explains your technical approach to make specific improvements to some part of the field.
• Uses original analysis and literature to support the feasibility of the approach.
• Describes what is original about your work.
• Provides a practical outline for completing this research : a degree timeline laying out quantifiable hypotheses, experimental/numerical/theoretical techniques, and metrics for evaluation .

Structure Diagram

Meche-specific structure requirements.

Your thesis proposal should be limited to 6 pages including figures and references.

In addition, you need a cover page that (only) includes:

• tentative title of the thesis
• brief abstract
• committee chair and/or advisor should be indicated
• include their official titles, departmental affiliations, and email addresses

The purpose of your thesis proposal is to introduce your research plan to your thesis committee. You want the committee members to come away understanding what your research will accomplish, why it is needed ( motivation ), how you will do it ( feasibility & approach ), and most importantly, why it is worthy of a PhD ( significance ).

You intend to solve a real and important problem, and you are willing to dedicate years of your life to it, so use your proposal to get the committee excited about your research!

Analyze your audience

Unlike many of the papers and presentations you will write during graduate school, only a select few people will read your thesis proposal. This group will always include your PhD committee and your research advisor, and may include other interested MechE faculty or scientists and engineers at your funding source.

Therefore, you will typically have a good understanding of your audience before it is written. This can allow you to tailor your message to the technical level of your specific audience. If you aren’t sure what your audience could reasonably be expected to know, be conservative! Regardless, your audience is always looking to answer the questions: “ what is this research, how will you perform it, and why does it matter?”

While the small audience may make you less interested in committing time to your proposal, the exercise of motivating and justifying your work plan will be critical to your PhD.

Follow the standard structure for research proposals

While some variation is acceptable, don’t stray too far from the following structure. See also the Structure Diagram above.

• Introduction . Provide only the necessary information to motivate your research, and show how it fits into the broader field. What is the problem you are trying to solve? By the end of the introduction, your audience should understand the basics of what you will do and why you will do it.
• Background/Methodology . Describe the current state of the art and related research fields in sufficient technical detail. The goal is provide just enough detail to give the reader a sound understanding of the limitations and the need for new work. Do not go into detail that does not directly help in understanding your You are not trying to make your reader understand everything about the topic or demonstrate how much you know.
• Objectives . Although not strictly necessary, this section lets you summarize concrete goals of your work, and can help to serve as a checklist for yourself as you move through the process. This is best for projects that tackle many interrelated problems. Think of this as a list of concrete (quantifiable) goals that you want to accomplish.
• Proposed Work. Explain how your work will solve the problems that you have identified. How will you address the objectives above? Provide just enough technical specificity to leave the reader with a firm grasp of what you will do.
• Provide a set of time-structured goals and deliverables. While this is not strictly necessary, your committee will want a timeline when you meet with them, so it can help to start planning now. You want to graduate, so make sure that you have a plan to do so!
• This is a standard section listing references in an appropriate format (MLA, APA, etc.)

Consider the logical sequence of your sections. After the introduction, your audience should be intrigued by a key problem, and intrigued that you know how to solve it. Through the background, they learn that this problem is more difficult than they originally realized. Finally, in the proposed work they learn that your proposal addresses the additional complexity introduced in the background, and they have confidence that you can actually solve the problem.

Summarize the current research field

You need to have a strong grasp of the broader research community. How can you contribute, if you don’t know what is done and what needs to be done?

The point here is not to educate your audience, but rather to provide them with the tools needed to understand your proposal. A common mistake is to explain all of the research that you did to understand your topic and to demonstrate that you really know your field. This will bore your audience, who either already knows this information or does not see why they should care. It’s more important to show where current gaps are. Cut anything that doesn’t answer the what and why of what people are doing. Your depth of knowledge will come through in your thoughtful proposal.

Justify the significance of your work

Answer the question: “What happens if your work is successful?” Again, you are trying to convince your readers either to give you funding or to work with you for three (or more) years. Convince them that your project is worth it.

Your research doesn’t have to revolutionize your field, but you need to explain concretely how it will move your field forward. For example, “Successful development of the proposed model will enable high-fidelity simulation of boiling” is a specific and convincing motivation, compared to, “The field of boiling modeling must be transformed in order to advance research.”

Justify your research plan

Identify the steps needed to overcome your identified problem/limitation. Though your PhD will evolve over time, the tasks and timeline that you identify in your proposal will continue to help determine the trajectory of your research. A good plan now can save a lot of work a few years down the road.

A strong research plan answers three key questions:

• g., “In order to engineer material properties using mesoscopic defects, it is necessary to characterize the defects, measure how they affect material response, and identify techniques to reproducibly create the defects at specific sites within a material.”
• g., “In my PhD, I will focus on developing high-speed dynamic imaging techniques to characterize transient defect states in metallic nanowires. I will then use these techniques to measure the properties of nanowires fabricated with three different processes known to produce different defect structures.”
• How will you evaluate success in each step? These metrics should be concrete and measurable! Putting the thought into metrics now will make it easier for your committee (and yourself) to check a box and say ‘you can graduate.’

Each of these questions should be supported by details that reflect the current state of the art. Technical justification is critical to establish credibility for your plan. Reference the material that you introduced in the background section. You should even use your research plan to tailor your background section so that your committee knows just enough to believe what you’re claiming in your plan.

Based on the tasks and metrics in your plan, establish specific reflection points when you’ll revisit the scope of your project and evaluate if changes are needed.

Include alternative approaches

You won’t be able to predict all of the challenges you will encounter, but planning alternative approaches early on for major methods or decision points will prepare you to make better game-time decisions when you come up against obstacles. e.g.,

I will develop multi-pulse, femtosecond illumination for high speed imaging following Someone et al. Based on the results they have shown, I expect to be able to observe defect dynamics with micron spatial resolution and microsecond temporal resolution. If these resolutions are not achievable in the nanowire systems, I will explore static measurement techniques based on the work of SomeoneElse et al.

Resources and Annotated Examples

Annotated example 1.

This is a recent MechE thesis proposal, written in the style of an IEEE paper. 1,022 KB

What’s Included: Methodology Template

This template covers all the core components required in the research methodology chapter or section of a typical dissertation or thesis, including:

• The opening section
• Research philosophy
• Research type
• Research strategy
• Time horizon
• Sampling strategy
• Data collection methods
• Data analysis methods
• Conclusion & summary

The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what’s required, along with links to additional free resources (articles, videos, etc.) to help you along your research journey.

The cleanly-formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

PS – if you’d like a high-level template for the entire thesis, you can we’ve got that too .

What format is the template (DOC, PDF, PPT, etc.)?

The methodology chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

What types of dissertations/theses can this template be used for?

The methodology template follows the standard format for academic research projects, which means it will be suitable for the vast majority of dissertations and theses (especially those within the sciences), whether they adopt a qualitative, quantitative, or mixed-methods approach. The template is loosely based on Saunders’ research onion , which is recommended as a methodological framework by many universities.

Keep in mind that the exact requirements for the methodology chapter/section will vary between universities and degree programs. These are typically minor, but it’s always a good idea to double-check your university’s requirements before you finalize your structure.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require the methodology chapter to be more extensive/comprehensive, but the structure will typically remain the same.

How long should the methodology chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate. 

How detailed should my methodology be?

As a rule of thumb, you should provide enough detail for another researcher to replicate your study. This includes clear descriptions of procedures, tools, and techniques you used to collect and analyse your data, as well as your sampling approach.

How technical should my language be in this chapter?

In the methodology chapter, your language should be technical enough to accurately convey your research methods and processes, but also clear and precise to ensure it’s accessible to readers within your field.

Aim for a balance where the technical aspects of your methods are thoroughly explained without overusing jargon or overly complex language.

Should I include a pilot study in my methodology?

If you conducted a pilot study, you can include it in the methodology to demonstrate the feasibility and refinement of your methods. Be sure to obtain the necessary permissions from your research advisor before conducting any pilot studies, though. 

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, we kindly request that you reference this page as your source.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my methodology?

Yes, we can assist with your methodology chapter (or any other chapter) on a coaching basis. If you’re interested, feel free to get in touch to discuss our private coaching services .

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Home » Dissertation Methodology – Structure, Example and Writing Guide

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.

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Research is based on finding a solution to a problem. There are various methods of formulating a research design for a study. Two broad approaches of data collection and interpretation are qualitative and quantitative research. Qualitative research focuses in understanding a research query on a humanistic approach and generates non-numerical data.  Below are books that explain how to create a qualitative study and the statistical techniques used in analyzing the data.

There are six major types of qualitative research design:

• Phenomenology
• Ethnography
• Grounded Theory
• Analyzing Qualitative Data Publication Date: 2010
• Big data for qualitative research by Kathy A. Mills Publication Date: 2019
• Fundamentals of qualitative research: a practical guide by Kakali Bhattacharya Publication Date: 2017
• Introduction to qualitative research methods: a guidebook and resource by Steven J. Taylor, Robert Bogdan, and Majorie L. DeVault Publication Date: 2016
• Qualitative Research in Business Publication Date: 2015
• Qualitative marketing research: a practical text for understanding consumers by Dominika Maison Publication Date: 2019

The quantitative research method is based on numerical data. This type of research is concerned with the organization, analysis, interpretation and presentation of numerical data. It is important to use the appropriate statistical test(s) for analysis of the data. Below are books that explain how to create a quantitative study and the statistical techniques used in analyzing the data.

There are four major types of qualitative research design:

• Descriptive
• Correlational
• Causal-Comparative/Quasi-Experimental
• Experimental Research
• Best practices in data cleaning : a complete guide to everything you need to do before and after collecting your data by Jason W. Osborne Publication Date: 2013
• Best practices in quantitative methods by Jason W. Osborne Publication Date: 2008
• Quantitative techniques in business, management and finance : a case-study approach by Umeshkumar Dubey, D P Kothari and G K Awari Publication Date: 2017
• SAGE quantitative research methods by W. Paul Vogt Publication Date: 2011
• Teaching quantitative methods : getting the basics right by Geoff Payne and Malcolm Williams Publication Date: 2011
• SAGE Research Methods Datasets This link opens in a new window A collection of teaching datasets that can be used to support the teaching of quantitative and qualitative analytical methods used in the social sciences. These are datasets taken from larger national and international data sources, cleaned and reduced in size and complexity for teaching and self-study purposes, perfect for researchers, learning a new method, or brushing up on a familiar one. Published by: SAGE Publications
• SAGE Research Methods Cases This link opens in a new window A collection of case studies of real social research, specially commissioned and designed to help you understand abstract methodological concepts in practice. Published by: SAGE Publications

Mixed methods research design (MMR) is a type of research where the researcher(s) combine elements of qualitative and quantitative research approaches. For example, use of qualitative and quantitative viewpoints, data collection, analysis, or inference techniques for the broad purposes of breadth and depth of understanding and corroboration of the data.

Below are books that explain how to create a mixed methods research study and the statistical techniques used in analyzing the data.

• Blending qualitative and quantitative research methods in theses and dissertations by R. Murray Thomas Publication Date: 2003
• Challenging the qualitative-quantitative divide : explorations in case-focused causal analysis by Barry Cooper Publication Date: 2012
• Integrating Qualitative and Quantitative Methods: a pragmatic approach by David L. Morgan Publication Date: 2017
• Selecting the right analyses for your data : quantitative, qualitative, and mixed methods by W. Paul Vogt Publication Date: 2014
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Thesis Structure

This page outlines the stages of an honours thesis and provides links to other pages that will give you more information and some examples from past theses.

Stages of a thesis (in order)

Write this last. It is an overview of your whole thesis, and is between 200-300 words.

See writing abstracts for honours theses for what to include in your abstract or see some example abstracts .

Introduction

Usually longer than an abstract, and provides the following:

• background to the topic;
• brief review of current knowledge (Can include literature review in some schools);
• indicates gap in knowledge, states aim of your research and how it fits into the gap;
• can include hypotheses; can include an outline of the following chapters.

See thesis introductions exercises for more information.

• Literature review

Often part of the Introduction, but can be a separate section. It is an evaluation of previous research on your topic, where you show that there is a gap in the knowledge that your research will attempt to fill. The key word here is evaluation.

See literature reviews for more information and examples to get you started on your literature review.

Often the easiest part of the thesis to write. Outlines which method you chose and why (your methodology); what, when, where, how and why you did what you did to get your results.

Here are some sample methods .

Outlines what you found out in relation to your research questions or hypotheses, presented in figures and in written text.

Results contain the facts of your research. Often you will include a brief comment on the significance of key results, with the expectation that more generalised comments about results will be made in the Discussion section. Sometimes Results and Discussion are combined: check with your supervisor and with highly rated past theses in your School.

Here are some suggestions for writing up results .

The Discussion section:

• comments on your results;
• explains what your results mean;
• interprets your results in a wider context; indicates which results were expected or unexpected;
• provides explanations for unexpected results.

The Discussion should also relate your specific results to previous research or theory. You should point out what the limitations were of your study, and note any questions that remain unanswered. The Discussion CAN also include Conclusions/Future Research. Check with your supervisor.

See our theses in discussion page for more information or try these exercises .

• Conclusions

Very important! This is where you emphasise that your research aims/objectives have been achieved.

You also emphasise the most significant results, note the limitations and make suggestions for further research.

Conclusions can include Future Directions. Check with your supervisor.

For more information see conclusions in honours theses or sample conclusions .

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How to write a methodology chapter in a masters thesis

Is there a standard way to set up a methodology chapter, other than just listing equipment and explaining the execution of method and analysis?

I find this type of set up to look childish and too simple, in a way. Maybe I only need a good example of a preferable layout.

• methodology

• 5 A simple methodology section is a good thing, because it helps other researchers to reproduce your work. This is not the part in the thesis where you show that you're an imaginative writer. –  lighthouse keeper Commented Jan 17, 2017 at 14:59
• Unless you're doing completely novel research, I'd expect most methodologies to be simple and "relatively unoriginal." There are only so many ways to do PCR or chemical synthesis or derivatives, and you should not be reinventing the wheel for a procedure that has likely just been adapted to your project. –  Compass Commented Jan 17, 2017 at 15:35
• The point of the methodology section is to describe what you did so that if your study was replicated, the same results would be obtained. It also allows others to determine if something in your methods resulted in an unexpected finding, or suggest something that could be changed that might lead to a novel finding. At the very least, it demonstrates you understand and follow the scientific method. –  Inde Commented Jan 17, 2017 at 20:30

How you have described the methodology section is in general, precisely what you should do. One source for assistance with writing this section is from the University itself - they will often have a suggested outline.

For example, Monash University has a webpage Discuss your methodology page, have a general outline for a scientific-based thesis methodology, such as:

rationale for choosing materials, methods and procedures details of materials, equipment and procedures that will allow others to replicate experiments understand and implement technical solutions

They also have examples for other disciplines, but a strong suggestion is to read and learn from other dissertations from your field - also, ask your advisor if they have examples.

A good methodology should be clear and concise and written in a way that someone else could replicate your experiments and get about the same results (or at least, similar results) and have an understanding of why the equipment and method was chosen.

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Writing the parts of scientific reports

18 Writing the methodology chapter

The title of this chapter can vary, such as Procedure(s) or Experiments or Materials and Methods , depending on the discipline, the project or subject of the study. The location of this chapter within a paper can vary. In a simple thesis it typically precedes the Results chapter. In a project report there might not be a separate chapter with the title ‘Methodology”, but this might be part of the description of the project tasks or research design.

Purpose of the methodology section

Overall, the purpose of this section is to provide the reader with information on the methods used to answer the research question (s), to achieve the objectives of the projects. Another important aspect is the justification for each method, which means why they were used, and also how. This involves a restatement of the research aim/ objectives and explains to the reader how the chosen research method (s) help answer the research questions. At this stage ethical issues or limitations of the research can also be stated.

In  other studies, the primary goal of this section is to convey to the reader the validity of the research which has been undertaken. The reader must be able to replicate the experiment and obtain essentially the same result.

Writing up the methods

In social science readers are often not only interested in the findings but in the methods you used to obtain them such as how you chose your sample, how representative it is, the questions posed in the survey or asked in the interview. The method section then becomes a detailed account of the steps undertaken in your research. Methods sections of projects using a non-experimental approach most likely have the three components of description , explanation and justification of data and method.

Therefore, the methods section fulfills three purposes (Lea, 2014):

• Describe the data and method(s) used
• Explain how the data were collected and how the method (s) were employed in the research
• Justify why the data were collected and why particular methods were chosen.

Overall structure

The overall structure follows the general-to-specific pattern, and also the logical organization of your project.

Experimental method

If experiments are used as a method, procedures followed and how results were calculated have to be presented. A typical structure:

• Apparatus: briefly describe the equipment, hardware used. Be as precise as possible: full details, including photographs, drawings or sketches should be placed in the appendix.
• Materials: list the materials used- be specific.
• Procedure: present a chronological account of how the experiment was conducted.

Use present tense to restate the aim/ purpose of your paper: this paper investigates the effects….

Most parts of this section use past tense + passive:

How it was done (passive voice + by ….. ing): the test was carried out by using a saturated solution of …

Why it was done (passive voice + to + verb): the …. was used to measure …

Use of sub-headings

This section often has subheadings which should, whenever possible, match those to be used in the results section.

Describing sequence

Sequence, or order, is important in describing processes. The table below shows some common expressions.

You may also want to explain:

Academic Writing in a Swiss University Context Copyright © 2018 by Irene Dietrichs. All Rights Reserved.

Machine Learning Models for Computational Structural Mechanics

The numerical simulation of physical systems plays a key role in different fields of science and engineering. The popularity of numerical methods stems from their ability to simulate complex physical phenomena for which analytical solutions are only possible for limited combinations of geometry, boundary, and initial conditions. Despite their flexibility, the computational demand of classical numerical methods quickly escalates as the size and complexity of the model increase. To address this limitation, and motivated by the unprecedented success of Deep Learning (DL) in computer vision, researchers started exploring the possibility of developing computationally efficient DL-based algorithms to simulate the response of complex systems. To date, DL techniques have been shown to be effective in simulating certain physical systems. However, their practical application faces an important common constraint: trained DL models are limited to a predefined set of configurations. Any change to the system configuration (e.g., changes to the domain size or boundary conditions) entails updating the underlying architecture and retraining the model. It follows that existing DL-based simulation approaches lack the flexibility offered by classical numerical methods. An important constraint that severely hinders the widespread application of these approaches to the simulation of physical systems.

In an effort to address this limitation, this dissertation explores DL models capable of combining the conceptual flexibility typical of a numerical approach for structural analysis, the finite element method, with the remarkable computational efficiency of trained neural networks. Specifically, this dissertation introduces the novel concept of “Finite Element Network Analysis” (FENA), a physics-informed, DL-based computational framework for the simulation of physical systems. FENA leverages the unique transfer knowledge property of bidirectional recurrent neural networks to provide a uniquely powerful and flexible computing platform. In FENA, each class of physical systems (for example, structural elements such as beams and plates) is represented by a set of surrogate DL-based models. All classes of surrogate models are pre-trained and available in a library, analogous to the finite element method, alleviating the need for repeated retraining. Another remarkable characteristic of FENA is the ability to simulate assemblies built by combining pre-trained networks that serve as surrogate models of different components of physical systems, a functionality that is key to modeling multicomponent physical systems. The ability to assemble pre-trained network models, dubbed network concatenation , places FENA in a new category of DL-based computational platforms because, unlike existing DL-based techniques, FENA does not require ad hoc training for problem-specific conditions.

While FENA is highly general in nature, this work focuses primarily on the development of linear and nonlinear static simulation capabilities of a variety of fundamental structural elements as a benchmark to demonstrate FENA's capabilities. Specifically, FENA is applied to linear elastic rods, slender beams, and thin plates. Then, the concept of concatenation is utilized to simulate multicomponent structures composed of beams and plate assemblies (stiffened panels). The capacity of FENA to model nonlinear systems is also shown by further applying it to nonlinear problems consisting in the simulation of geometrically nonlinear elastic beams and plastic deformation of aluminum beams, an extension that became possible thanks to the flexibility of FENA and the intrinsic nonlinearity of neural networks. The application of FENA to time-transient simulations is also presented, providing the foundation for linear time-transient simulations of homogeneous and inhomogeneous systems. Specifically, the concepts of Super Finite Network Element (SFNE) and network concatenation in time are introduced. The proposed concepts enable training SFNEs based on data available in a limited time frame and then using the trained SFNEs to simulate the system evolution beyond the initial time window characteristic of the training dataset. To showcase the effectiveness and versatility of the introduced concepts, they are applied to the transient simulation of homogeneous rods and inhomogeneous beams. In each case, the framework is validated by direct comparison against the solutions available from analytical methods or traditional finite element analysis. Results indicate that FENA can provide highly accurate solutions, with relative errors below 2 % for the cases presented in this work and a clear computational advantage over traditional numerical solution methods. 

The consistency of the performance across diverse problem settings substantiates the adaptability and versatility of FENA. It is expected that, although the framework is illustrated and numerically validated only for selected classes of structures, the framework could potentially be extended to a broad spectrum of structural and multiphysics applications relevant to computational science.

CAREER: Multi-Physics Transient Holography: A Non-Intrusive Imaging Approach for the Identification of Structural Damage in Mechanical Systems

Directorate for Engineering

Degree Type

• Doctor of Philosophy
• Mechanical Engineering

Campus location

• West Lafayette

Advisor/Supervisor/Committee Chair

Additional committee member 2, additional committee member 3, additional committee member 4, usage metrics.

• Solid mechanics
• Deep learning
• Structural engineering
• Numerical analysis