research methods for dissertations

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Dissertations 4: methodology: methods.

• Introduction & Philosophy
• Methodology

Primary & Secondary Sources, Primary & Secondary Data

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

Definitions  

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

Secondary sources 

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

Primary sources 

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

Primary data 

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

Secondary data 

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

Comparison between primary and secondary data   

Use  

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

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

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

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

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

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

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

Quantitative, Qualitative & Mixed Methods

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

Quantitative research 

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

Qualitative research  

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

Mixed methods 

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

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

Ultimately, your methodology chapter should state: 

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

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

Why you rejected other methods. 

How well the method served your research. 

The problems or limitations you encountered. 

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

LinkedIn Learning Video on Academic Research Foundations: Quantitative

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

Link to quantitative research video

Some Types of Methods

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

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

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

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

ethical considerations (see also tab...)  

safety considerations  

validity  

feasibility  

recording  

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

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

Experiments 

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

For more information on Scientific Method, click here . 

Observations 

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

Questionnaires and surveys 

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

Interviews  

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

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

Focus groups   

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

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

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

Case study 

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

Content analysis 

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

Extra links and resources:  

Research Methods  

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

Doing your dissertation during the COVID-19 pandemic  

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

• Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

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

Case Study Research

Research Ethics

Quantitative Content Analysis 

Sequential Analysis 

Qualitative Content Analysis 

Thematic Analysis 

Social Media Research 

Mixed Method Research 

Procedural Method

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

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

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

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

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

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

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

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

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

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

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

Bibliography

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

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

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

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

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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

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

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

It should include:

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

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Table of contents

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

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

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

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

Option 1: Start with your “what”

What research problem or question did you investigate?

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

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

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

Option 2: Start with your “why”

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

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

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

Quantitative methods

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

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

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

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

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

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

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

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

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

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

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

Qualitative methods

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

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

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

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

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

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

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

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

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

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

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

Mixed methods

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

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

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

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

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

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

Specific methods might include:

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

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

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

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

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

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

1. Focus on your objectives and research questions

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

2. Cite relevant sources

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

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

3. Write for your audience

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

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

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

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

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

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

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

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

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

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

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

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What are acceptable dissertation research methods?

August 16, 2023

Reading time:  3–4 minutes

Doctoral research is the cornerstone of a PhD program .

In order to write a dissertation, you must complete extensive, detailed research. Depending on your area of study, different types of research methods will be appropriate to complete your work.

“The choice of research method depends on the questions you hope to answer with your research,” says Curtis Brant, PhD, Capella University dean of research and scholarship.

Once you’ve identified your research problem, you’ll employ the methodology best suited for solving the problem.

There are two primary dissertation research methods: qualitative and quantitative.

Qualitative

Qualitative research focuses on examining the topic via cultural phenomena, human behavior or belief systems. This type of research uses interviews, open-ended questions or focus groups to gain insight into people’s thoughts and beliefs around certain behaviors and systems.

Dr. Brant says there are several approaches to qualitative inquiry. The three most routinely used include:

Generic qualitative inquiry. The researcher focuses on people’s experiences or perceptions in the real world. This often includes, but is not limited to, subjective opinions, attitudes and beliefs .

Case study. The researcher performs an in-depth exploration of a program, event, activity or process with an emphasis on the experience of one or more individuals. The focus of this kind of inquiry must be defined and often includes more than one set of data, such as interviews and field notes, observations or other qualitative data.

Phenomenological. The researcher identifies lived experiences associated with how an individual encounters and engages with the real world .

Qualitative research questions seek to discover:

• A participant’s verbal descriptions of a phenomenon being investigated
•  A researcher’s observations of the phenomenon being investigated
• An integrated interpretation of participant’s descriptions and researchers observations

Quantitative

Quantitative research involves the empirical investigation of observable and measurable variables. It is used for theory testing, predicting outcomes or determining relationships between and among variables using statistical analysis.

According to Dr. Brant, there are two primary data sources for quantitative research.

Surveys: Surveys involve asking people a set of questions, usually testing for linear relationships, statistical differences or statistical independence. This approach is common in correlation research designs.

Archival research (secondary data analysis). Archival research involves using preexisting data to answer research questions instead of collecting data from active human participants.

Quantitative research questions seek to address:

• Descriptions of variables being investigated
• Measurements of relationships between (at least two) variables
• Differences between two or more groups’ scores on a variable or variables

Which method should you choose?

Choosing a qualitative or quantitative methodology for your research will be based on the nature of the questions you ask, the preferred method in your field, the feasibility of the approach and other factors. Many programs offer doctoral mentors and support teams that can help guide you throughout the process.

Capella University offers PhD and professional doctorate degree programs ranging from business to education and health to technology. Learn more about Capella doctoral programs and doctoral support.

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Guide for Thesis Research

• Introduction to the Thesis Process
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Basics of Methodology

Research is a process of inquiry that is carried out in a pondered, organized, and strategic manner. In order to obtain high quality results, it is important to understand methodology.

Research methodology refers to how your project will be designed, what you will observe or measure, and how you will collect and analyze data. The methods you choose must be appropriate for your field and for the specific research questions you are setting out to answer.

A strong understanding of methodology will help you:

• apply appropriate research techniques
• design effective data collection instruments
• analyze and interpret your data
• develop well-founded conclusions

Below, you will find resources that mostly cover general aspects of research methodology. In the left column, you will find resources that specifically cover qualitative, quantitative, and mixed methods research.

General Works on Methodology

Qualitative Research

Quantitative Research

Mixed Methods Research

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Writing your Dissertation: Methodology

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

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

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

What to Include in your Methodology

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

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

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

Common Research Methods for the Social Sciences

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

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

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

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

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

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

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

See our page: Interviews for Research for more information.

Observations

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

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

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

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

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

Questionnaires

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

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

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

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

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

Documentary Analysis

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

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

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

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

How to Choose your Methodology and Precise Research Methods

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

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

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

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

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

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

Structuring your Methodology

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

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

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

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

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

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

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

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

Continue to: Research Methods Designing Research

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

Dissertation Support: Research methods

• Getting Started

Research methods

• Preparing your literature review
• Where to look (UWS)
• Looking beyond the Library
• Managing your project
• Writing and referencing

Research process

No matter the depth of your study or the specific requirements of your assignment, you will be participating in the research process:

• Choosing a topic.
• Your proposal.
• Literature review - Exploration of existing literature/ evidence, its quality and predominant methodology.
• Identification of gaps in the research.
• [Ethical and funding applications].
• Your Project.
• Data analysis.
• Publication and dissemination of findings.

You will be choosing an appropriate research method as part of this process.  The research method is the tool used to conduct the research.  Traditionally the method was either q uantitative (positivist) or q ualitative (interpretivist).

In recent years, however, multiple new methodologies have emerged and many have developed into accepted practice, e.g. m ixed methods and arts-based research (practice as research).

Explore options with Sage Research Methods

• Read overviews on different methods  
• Find definitions
• Watch studies come to life
• Hear from the experts
• Practice data analysis
• SAGE Research Methods This link opens in a new window SAGE Research Methods is a collection of resources - e-books, case studies, videos and data sets - designed to answer your research methods and statistics questions more... less... Searchable via One Search. Use your student/staff email address and password to access the resource.
• Guide to SAGE Research Methods Publisher's guide to using SAGE Research Methods including video introductions and discipline specific resources.

Qualitative research

Qualitative approaches are common  in the social and behavioural sciences as research concentrates on experiences - resulting thoughts and feelings are open to interpretation.  Commonly used qualitative research designs are:

• Phenomenological
• Ethnographic
• Grounded theory

Primary or secondary research?

Primary research.

Primary research is usually considered to be first hand accounts, i.e. the people involved in the actual events or study, or the original sources.

Sources of primary research include:

• Letters/ diaries.
• Data from research studies.
• Original works.

Secondary research

Secondary research provides commentary, interpretation or analysis of original studies.

Examples of secondary research are:

• Literature reviews.
• Commentaries.
• Discussion and review articles in newspapers and journals.

Quantitative research

Quantitative or positivist approaches predominate in the physical sciences as hypotheses involving one situation can be posited to be fact for others.

Commonly used quantitative designs often involving the scientific variables (volume, speed, density, strength and weight) are:

• Case reports
• Cohort studies
• Randomised controlled trials
• Systematic reviews
• Meta-analysis

Mixed methods

Mixed methods studies use both quantitative and qualitative approaches.  This approach allows for an explanation of unexpected results.

Practice-based research

Arts-based research and other examples of practice as research merge traditional qualitative and more modern person-centred therapy-based activities.  This enables a more holistic approach to research.

Research methods sources

A small selection of library titles on research methods:

Open Access Research Methods sources

Some research methods resources are published on an open access (free to all) basis and have been collated into a Google Drive collection .

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Research methods.

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Research methods are the tools used to help you find, collect, analyse and interpret information in order to answer your research question. Sound methodology is important to make sure your research results are trusted and respected in your field. In some disciplines, the use of standardised methods is also important to allow fellow researchers to replicate, or repeat, their studies. The resources on this page have been designed with researchers in mind and can help you choose an appropriate research method for your dissertation.

SAGE Research Methods contains over 1,000 e-books, reference works, journal articles and videos which provide information about research methods and design. The database can help provide context for writing a research question, conducting a literature review, choosing a research method, collecting and analysing data and writing up the findings. It includes a range of methods commonly used in numerous disciplines. View the Sage Research Methods Guide for further details. Kortext and BibliU are online textbook providers, with numerous e-texts on research methods .

Open educational resources on research methods are available from the  Open Access Research Methods Resource Collection . The National Centre for Research Methods has many online resources which are intended to help people interested in social science research methods. While the Global Social Change Research Project curates a lot of open access resources, predominantly on quantitative methods with some qualitative methods.  Once you have located background information about your research design, you may want to locate scholarly journal articles on your research topic that use a particular type of methodology. Previous dissertations and theses will also help you to determine which methodologies are appropriate for a specific research question and how to construct a research study.

• Academic communication skills resources This list includes useful resources for academic communication skills including academic writing, research methods, critical thinking, skills for literature reviews and systematic reviews, referencing, presentation skills, writing for publication, statistics and general study skills.

SAGE Research Methods Map

Explore the SAGE Methods Map to learn more about research terms and find useful content.

• SAGE Methods Map

Popular research methods texts

Real World Research

Real World Research provides a clear route-map of the various steps needed to carry out a piece of applied research to a high professional standard.

Research methods in health

An accessible introduction to the concepts and practicalities of research methods in health and health services.

Research design

This bestselling text pioneered the comparison of qualitative, quantitative, and mixed methods research design.

Research methods for business students

A textbook for Business and Management students conducting a research-led project or dissertation.

Introduction to Social Research

Keith Punch takes a fresh look at the entire research process, from formulating a research question to writing up your research.

The Oxford Handbook of Qualitative Research

This handbook presents a comprehensive, interdisciplinary overview of the field of qualitative research.

Qualitative Researching

This text guides students and researchers through the process of doing qualitative research, clearly explaining how different theoretical approaches inform what you do in practice.

Introduction to Quantitative Research Methods

A student-friendly introduction to quantitative research methods and basic statistics.

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• GETTING STARTED
• Introduction
• FUNDAMENTALS

Qualitative, quantitative and mixed methods dissertations

What are they and which one should i choose.

In the sections that follow, we briefly describe the main characteristics of qualitative, quantitative and mixed methods dissertations. Rather than being exhaustive, the main goal is to highlight what these types of research are and what they involve. Whilst you read through each section, try and think about your own dissertation, and whether you think that one of these types of dissertation might be right for you. After reading about these three types of dissertation, we highlight some of the academic, personal and practical reasons why you may choose to take on one type over another.

• Types of dissertation: Qualitative, quantitative and mixed methods dissertations
• Choosing between types: Academic, personal and practical justifications

Types of dissertation

Whilst we describe the main characteristics of qualitative, quantitative and mixed methods dissertations, the Lærd Dissertation site currently focuses on helping guide you through quantitative dissertations , whether you are a student of the social sciences, psychology, education or business, or are studying medical or biological sciences, sports science, or another science-based degree. Nonetheless, you may still find our introductions to qualitative dissertations and mixed methods dissertations useful, if only to decide whether these types of dissertation are for you. We discuss quantitative dissertations , qualitative dissertations and mixed methods dissertations in turn:

Quantitative dissertations

When we use the word quantitative to describe quantitative dissertations , we do not simply mean that the dissertation will draw on quantitative research methods or statistical analysis techniques . Quantitative research takes a particular approach to theory , answering research questions and/or hypotheses , setting up a research strategy , making conclusions from results , and so forth. Classic routes that you can follow include replication-based studies , theory-driven research and data-driven dissertations . However, irrespective of the particular route that you adopt when taking on a quantitative dissertation, there are a number of core characteristics to quantitative dissertations:

They typically attempt to build on and/or test theories , whether adopting an original approach or an approach based on some kind of replication or extension .

They answer quantitative research questions and/or research (or null ) hypotheses .

They are mainly underpinned by positivist or post-positivist research paradigms .

They draw on one of four broad quantitative research designs (i.e., descriptive , experimental , quasi-experimental or relationship-based research designs).

They try to use probability sampling techniques , with the goal of making generalisations from the sample being studied to a wider population , although often end up applying non-probability sampling techniques .

They use research methods that generate quantitative data (e.g., data sets , laboratory-based methods , questionnaires/surveys , structured interviews , structured observation , etc.).

They draw heavily on statistical analysis techniques to examine the data collected, whether descriptive or inferential in nature.

They assess the quality of their findings in terms of their reliability , internal and external validity , and construct validity .

They report their findings using statements , data , tables and graphs that address each research question and/or hypothesis.

They make conclusions in line with the findings , research questions and/or hypotheses , and theories discussed in order to test and/or expand on existing theories, or providing insight for future theories.

If you choose to take on a quantitative dissertation , go to the Quantitative Dissertations part of Lærd Dissertation now. You will learn more about the characteristics of quantitative dissertations, as well as being able to choose between the three classic routes that are pursued in quantitative research: replication-based studies , theory-driven research and data-driven dissertations . Upon choosing your route, the Quantitative Dissertations part of Lærd Dissertation will help guide you through these routes, from topic idea to completed dissertation, as well as showing you how to write up quantitative dissertations.

Qualitative dissertations

Qualitative dissertations , like qualitative research in general, are often associated with qualitative research methods such as unstructured interviews, focus groups and participant observation. Whilst they do use a set of research methods that are not used in quantitative dissertations, qualitative research is much more than a choice between research methods. Qualitative research takes a particular approach towards the research process , the setting of research questions , the development and use of theory , the choice of research strategy , the way that findings are presented and discussed, and so forth. Overall, qualitative dissertations will be very different in approach, depending on the particular route that you adopt (e.g., case study research compared to ethnographies). Classic routes that you can follow include autoethnographies , case study research , ethnographies , grounded theory , narrative research and phenomenological research . However, irrespective of the route that you choose to follow, there are a number of broad characteristics to qualitative dissertations:

They follow an emergent design , meaning that the research process , and sometimes even the qualitative research questions that you tackle, often evolve during the dissertation process.

They use theory in a variety of ways - sometimes drawing on theory to help the research process; on other occasions, using theory to develop new theoretical insights ; sometimes both - but the goal is infrequently to test a particular theory from the outset.

They can be underpinned by one of a number of research paradigms (e.g., interpretivism , constructivism , critical theory , amongst many other research paradigms).

They follow research designs that heavily influence the choices you make throughout the research process, as well as the analysis and discussion of 'findings' (i.e., such research designs differ considerably depending on the route that is being followed, whether an autoethnography , case study research , ethnography , grounded theory , narrative research , phenomenological research , etc.).

They try to use theoretical sampling - a group of non-probability sampling techniques - with the goal of studying cases (i.e., people or organisations) that are most appropriate to answering their research questions.

They study people in-the-field (i.e., in natural settings ), often using multiple research methods , each of which generate qualitative data (e.g., unstructured interviews , focus groups , participant observation , etc.).

They interpret the qualitative data through the eyes and biases of the researcher , going back-and-forth through the data (i.e., an inductive process ) to identify themes or abstractions that build a holistic/gestalt picture of what is being studied.

They assess the quality of their findings in terms of their dependability , confirmability , conformability and transferability .

They present (and discuss ) their findings through personal accounts , case studies , narratives , and other means that identify themes or abstracts , processes , observations and contradictions , which help to address their research questions.

They discuss the theoretical insights arising from the findings in light of the research questions, from which tentative conclusions are made.

If you choose to take on a qualitative dissertation , you will be able to learn a little about appropriate research methods and sampling techniques in the Fundamentals section of Lærd Dissertation. However, we have not yet launched a dedicated section to qualitative dissertations within Lærd Dissertation. If this is something that you would like us to do sooner than later, please leave feedback .

Mixed methods dissertations

Mixed methods dissertations combine qualitative and quantitative approaches to research. Whilst they are increasingly used and have gained greater legitimacy, much less has been written about their components parts. There are a number of reasons why mixed methods dissertations are used, including the feeling that a research question can be better addressed by:

Collecting qualitative and quantitative data , and then analysing or interpreting that data, whether separately or by mixing it.

Conducting more than one research phase ; perhaps conducting qualitative research to explore an issue and uncover major themes, before using quantitative research to measure the relationships between the themes.

One of the problems (or challenges) of mixed methods dissertations is that qualitative and quantitative research, as you will have seen from the two previous sections, are very different in approach. In many respects, they are opposing approaches to research. Therefore, when taking on a mixed methods dissertation, you need to think particularly carefully about the goals of your research, and whether the qualitative or quantitative components (a) are more important in philosophical, theoretical and practical terms, and (b) should be combined or kept separate.

Again, as with qualitative dissertations, we have yet to launch a dedicated section of Lærd Dissertation to mixed methods dissertations . However, you will be able to learn about many of the quantitative aspects of doing a mixed methods dissertation in the Quantitative Dissertations part of Lærd Dissertation. You may even be able to follow this part of our site entirely if the only qualitative aspect of your mixed methods dissertation is the use of qualitative methods to help you explore an issue or uncover major themes, before performing quantitative research to examine such themes further. Nonetheless, if you would like to see a dedicated section to mixed methods dissertations sooner than later, please leave feedback .

• How it works

Writing a Methodology for your Dissertation | Complete Guide & Steps

What is a methodology.

The methodology is perhaps the most challenging and laborious part of the dissertation . Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the ‘how’ part of your research.

This means that your methodology chapter should clearly state whether you chose to use quantitative or qualitative data collection techniques or a mix of both.

Your research methodology should explain the following:

• What was the purpose of your research?
• What type of research method was used?
• What were the data-collecting methods?
• How did you analyse the data?
• What kind of resources were used in your research?
• Why did you choose these methods?

You will be required to provide justifications as to why you preferred a certain method over the others. If you are trying to figure out exactly how to write methodology or the structure of a methodology for a dissertation, this article will point you in the right direction.

Students must be sure of why they chose a certain research method over another. “I figured out” or “In my opinion” statements will not be an acceptable justification. So, you will need to come up with concrete academic reasons for your selection of research methods.

What are the Standard Contents of a Research Methodology?

The methodology generally acts as a guideline or plan for exactly how you intend to carry out your research. This is especially true for students who must submit their methodology chapter before carrying out the research.

Your methodology should link back to the literature review and clearly state why you chose certain data collection and analysis methods for your research/dissertation project.

The methodology chapter consists of the following:

• Research Design
• Philosophical Approach
• Data Collection Methods
• Research Limitations
• Ethical Considerations (If Any)
• Data Analysis Methods

For those who are submitting their dissertation as a single paper, their methodology should also touch on any modifications they had to make as their work progressed.

However, it is essential to provide academic justifications for all choices made by the researcher.

How to Choose your Dissertation Methodology and Research Design?

The theme of your research methodology chapter should be related to your literature review and research question (s).

You can visit your college or university library to find textbooks and articles that provide information about the commonly employed research methods .

An intensive reading of such books can help you devise your research philosophy and choose the appropriate methods. Any limitations or weaknesses of your chosen research approach should also be explained, as well as the strategies to overcome them.

To research well, you should read well! Read as many research articles (from reputed journals) as you can. Seeing how other researchers use methods in their studies and why will help you justify, in the long run, your own research method(s).

Regardless of the chosen research approach, you will find researchers who either support it or don’t. Use the arguments for and against articulated in the literature to clarify why you decided to choose the selected research design and why the research limitations are irrelevant to your research.

How to Structure your Dissertation Methodology?

The typical structure of the methodology chapter is as follows:

• Research Design And Strategy
• Methods Of Data Collection And Data Analysis
• Ethical Considerations, Reliability , Limitations And Generalisability

In research jargon, generalisability is termed external validity . It means how generalisable your research findings are to other contexts, places, times, people, etc. External validity is expected to be significantly high, especially in quantitative studies.

According to USC-Research Guides (2017) , a research design’s primary function is to enable the researcher to answer the research questions through evidence effectively. Generally, this section will shed light on how you collected your data.

The researcher will have to justify their choice of data collection methods, such as the one that was reviewed, the use of data tools (interviews, phone surveys, questionnaires, observation, online surveys , etc.) and the like.

Moreover, data sampling choice should also be clearly explained with a focus on how you chose the ethnicity, group, profession and age of the participants.

• What type of questions do you intend to ask the respondents?
• How will they help to answer your research questions ?
• How will they help to test the hypothesis of the dissertation?

It is recommended to prepare these questions at the start of your research. You should develop your research problem and questions. This approach can allow the room to change or modify research questions if your data collection methods do not give the desired results.

It’s a good practice to keep referring to your research questions whilst planning or writing the research design section. This will help your reader recall what the research is about; why you have done what you did. Even though this technique is recommended to be applied at the start of every section within a dissertation, it’s especially beneficial in the methodology section.

In short, you will need to make sure that the data you are going to collect relates to the topic you are exploring. The complexity and length of the research design section will vary depending on your academic subject and the scope of your research, but a well-written research design will have the following characteristics:

• It sheds light on alternative research design options and justifies why your chosen design is the best to address the research problem.
• Clearly specifies the research questions that the research aims to address or the hypothesis to validate.
• Explain how the collected data will help address the research problem and discusses your research methodology to collect the data.

Philosophical Approach Behind Writing a Methodology

This will discuss your chosen philosophy to strengthen your research and the research model. Commonly employed philosophies in academia are

• Interpretivism,
• Positivism/Post-Positivism
• Constructivism

There are several other research philosophies that you could adopt.

The choice of philosophy will depend on many factors, including your academic subject and the type and complexity of the research study. Regardless of which philosophy is used, you will be required to make different assumptions about the world.

Once you have chosen your research philosophy, the next step will describe your research context to answer all the questions, including when, where, why, how and what of your research.

Essentially, as a researcher, you will be required to decide whether you will be using a qualitative method, a quantitative method or a mix of both.

Did you know?

Using both qualitative and quantitative methods leads to the use of a mixed-methods approach. This approach also goes by another seldom-used name: eclectic approach.

The process of data collection is different for each method. Typically, you would want to decide whether you will adopt the positivist approach, defining your hypothesis and testing it against reality.

If this is the case, you will be required to take the quantitative approach, collecting numerical data at a large scale (from 30 or more respondents) and testing your hypotheses with this data.

Collecting data from at least 30 respondents/participants ensures reliable statistical analysis . This is especially true for quantitative studies. If the data contains less than 30 responses, it won’t be enough to carry out reliable statistical analyses on such data.

The other option for you would be to base your research on a qualitative approach, which will point you in a direction where you will be investigating broader areas by identifying people’s emotions and perceptions of a subject.

With a qualitative approach, you will have to collect responses from respondents and look at them in all their richness to develop theories about the field you are exploring.

Finally, you can also use a mix of qualitative and quantitative methods (which is becoming increasingly popular among researchers these days). This method is beneficial if you are interested in putting quantitative data into a real-world context or reflecting different perspectives on a subject.

Research philosophy in the ‘research onion.’

Methods of Data Collection and Data Analysis

This section will require you to clearly specify how you gathered the data and briefly discuss the tools you used to analyse it. For example, you may choose to conduct surveys and/or interviews as part of the data collection process.

Similarly, if you used software such as Excel or SPSS to process the data , you will have to justify your software choice. In this section of your methodology chapter , you will also have to explain how you arrived at your findings and how reliable they are.

It is important to note that your readers or supervisor would want to see a correlation between your findings and the hypothesis/research questions you based your study on at the very beginning.

Your supervisor or dissertation research assistant can play a key role in helping you write the methodology chapter according to established research standards. So, keep your supervisor in the loop to get their contributions and recommendations throughout the process.

In this section, you should briefly describe the methods you’ve used to analyse the data you’ve collected.

Qualitative Methods

The qualitative method includes analysing language, images, audio, videos, or any textual data (textual analysis). The following types of methods are used in textual analysis .

Discourse analysis:

Discourse analysis is an essential aspect of studying a language and its uses in day-to-day life.

Content analysis:

It is a method of studying and retrieving meaningful information from documents Thematic analysis:

It’s a method of identifying patterns of themes in the collected information, such as face-to-face interviews, texts, and transcripts.

Example: After collecting the data, it was checked thoroughly to find the missing information. The interviews were transcribed, and textual analysis was conducted. The repetitions of the text, types of colours displayed, and the tone of the speakers was measured.

Quantitative Methods

Quantitative data analysis is used for analysing numerical data. Include the following points:

• The methods of preparing data before analysing it.
• Which statistical test you have used? (one-ended test, two-ended test)
• The type of software you’ve used.

Ethical Considerations, Reliability and Limitations of a Dissertation Methodology

Other important sections of your methodology are:

Ethical Considerations

Always consider how your research will influence other individuals who are beyond the scope of the study. This is especially true for human subjects. As a researcher, you are always expected to make sure that your research and ideas do not harm anyone in any way.Discussion concerning data protection, data handling and data confidentiality will also be included in this brief segment.

• How did you ensure your participants’/respondents’ anonymity and/or confidentiality?
• Did you remove any identifiable markers after conducting the study (post-test stage) so that readers wouldn’t be able to guess the identity of the participant/respondent?
• Was personal information collected according to the purpose of the research? (For instance, asking respondents their age when it wasn’t even relevant in the study). All such ethical considerations need to be mentioned.

Even though there is no established rule to include ethical considerations and limitations within the methodology section, it’s generally recommended to include it in this section, as it makes more sense than including it, say, after the discussions section or within the conclusion.

This is mainly because limitations almost always occur in the methodology stage of research. And ethical considerations need to be taken while sampling, an important aspect of the research methodology.

Here are some examples of ethical issues that you should be mindful of

• Does your research involve participants recalling episodes of suffering and pain?
• Are you trying to find answers to questions considered culturally sensitive either by participants or the readers?
• Are your research, analysis and findings based on a specific location or a group of people?

All such issues should be categorically addressed and a justification provided for your chosen research methodology by highlighting the study’s benefits.

Reliability

Is your research study and findings reliable for other researchers in your field of work? To establish yourself as a reliable researcher, your study should be both authentic and reliable.

Reliability means the extent to which your research can yield similar results if it was replicated in another setting, at a different time, or under different circumstances. If replication occurs and different findings come to light, your (original) research would be deemed unreliable.

Limitations

Good dissertation writers will always acknowledge the limitations of their research study. Limitations in data sampling can decrease your results’ reliability.

A classic example of research limitation is collecting responses from people of a certain age group when you could have targeted a more representative cross-section of the population.Be humble and admit to your own study’s limitations. Doing so makes your referees, editors, supervisors, readers and anyone else involved in the research enterprise aware that you were also aware of the things that limited your study.

Limitations are NOT the same as implications. Sometimes, the two can be confused. Limitations lead to implications, that is, due to a certain factor being absent in the study (limitation) for instance, future research could be carried out in a setting where that factor is present (implication).

Dissertation Methodology Example

At this point, you might have a basic understanding of how to craft a well-written, organised, accurate methodology section for your dissertation. An example might help bring all the aforementioned points home. Here is a dissertation methodology example in pdf to better understand how to write methodology for a dissertation.

Sample Dissertation Methodology

Does your Research Methodology Have the Following?

• Great Research/Sources
• Perfect Language
• Accurate Sources

If not, we can help. Our panel of experts makes sure to keep the 3 pillars of Research Methodology strong.

Types of Methodologies

A scientific or lab-based study.

A methodology section for a scientific study will need to elaborate on reproducibility and meticulousness more than anything else. If your methods have obvious flaws, the readers are not going to be impressed. Therefore, it is important to ensure that your chosen research methodology is vigorous in nature.

Any information related to the procedure, setup and equipment should be clearly stated so other researchers in your field of study can work with the same method in the future if needed.

Variables that are likely to falsify your data must be taken into the equation to avoid ambiguities. It is recommended to present a comprehensive strategy to deal with these variables when gathering and analysing the data and drawing conclusions.

Statistical models employed as part of your scientific study will have to be justified, and so your methodology should include details of those statistical models.

Another scholar in the future might use any aspect of your methodology as the starting point for their research. For example, they might base their research on your methodology but analyse the data using other statistical models. Hence, this is something you should be mindful of.

Behavioural or Social Sciences-Based Dissertation

Like scientific or lab-based research, a behavioural and social sciences methodology needs to be built along the same lines. The chosen methodology should demonstrate reproducibility and firmness so other scholars can use your whole dissertation methodology or a part of it based on their research needs.

But there are additional issues that the researcher must take into consideration when working with human subjects. As a starting point, you will need to decide whether your analysis will be based on qualitative data, quantitative data or mixed-method of research, where qualitative data is used to provide contextual background to quantitative data or the other way around.

Here are some questions for you to consider:

• Will you observe the participants undertaking some activity, ask them to fill out a questionnaire, or record their responses during the interviews ?
• Will you base your research on existing evidence and datasets and avoid working with human subjects?
• What are the length, width, and reach of your data? Define its scope.
• Is the data highly explicit to the location or cultural setting you carried your study in, or can it be generalised to other situations and frameworks (reliability)? What are your reasons and justifications?

While you will be required to demonstrate that you have taken care of the above questions, it is equally important to make sure that you address your research study’s ethical issues side-by-side.

Of course, the first step in that regard will be to obtain formal approval for your research design from the ethics bodies (such as IRBs – institutional review boards), but still, there will be many more issues that could trigger a sense of grief and discomfort among some of the readers.

Humanities and Arts Dissertation Project

The rigour and dependability of the methods of research employed remain undisputed and unquestionable for humanities and arts-based dissertations as well. However, the way you convince your readers of your dissertation’s thoroughness is slightly different.

Unlike social science dissertation or a scientific study, the methodology of dissertations in arts and humanities subjects needs to be directly linked to the literature review regardless of how innovative your dissertation’s topic might be.

For example, you could demonstrate the relationship between A and B to discover a new theoretical background or use existing theories in a new framework.

The methodology section of humanities and arts-based dissertations is less complex, so there might be no need to justify it in detail. Students can achieve a seamless transition from the literature review to the analysis section.

However, like with every other type of research methodology, it is important to provide a detailed justification of your chosen methodology and relate it to the research problem.

Failing to do so could leave some readers unconvinced of your theoretical foundations’ suitability, which could potentially jeopardise your whole research.

Make sure that you are paying attention to and giving enough information about the social and historical background of the theoretical frameworks your research methodology is based on. This is especially important if there is an essential difference of opinion between your research and the research done on the subject in the past.

A justification of why opposing schools of thought disagree and why you still went ahead to use aspects of these schools of thought in your methodology should be clearly presented for the readers to understand how they would support your readings.

A Dissertation in Creative Arts

Some degree programs in the arts allow students to undertake a portfolio of artworks or creative writing rather than produce an extended dissertation research project.However, in practice, your creative research will be required to be submitted along with a comprehensive evaluative paper, including background information and an explanation that hypothesises your innovative exercise.

While this might seem like an easy thing to do, critical evaluation of someone’s work is highly complex and notorious in nature. This further reinforces the argument of developing a rigorous methodology and adhering to it.

As a scholar, you will be expected to showcase the ability to critically analyse your methodology and show that you are capable of critically evaluating your own creative work.Such an approach will help you justify your method of creating the work, which will give the readers the impression that your research is grounded in theory.

What to Avoid in Methodology?

All chapters of a dissertation paper are interconnected. This means that there will undoubtedly be some information that would overlap between the different chapters of the dissertation .

For example, some of the text material may seem appropriate to both the literature review and methodology sections; you might even end up moving information from pillar to post between different chapters as you edit and improve your dissertation .

However, make sure that you are not making the following a part of your dissertation methodology, even though it may seem appropriate to fit them in there:

A Long Review of Methods Employed by Previous Researchers

It might seem relevant to include details of the models your dissertation methodology is based on. However, a detailed review of models and precedents used by other scholars and theorists will better fit in the literature review chapter, which you can link back to. This will help the readers understand why you decided to go in favour of or against a certain tactic.

Unnecessary Details Readers Might Not be Interested In

There is absolutely no need to provide extensive details of things like lab equipment and experiment procedures. Having such information in the methodology chapter would discourage some readers who might not be interested in your equipment, setup, lab environment, etc.

Your aim as the author of the document will be to retain the readers’ interest and make the methodology chapter as readable as possible.

While it is important to get all the information relating to how others can reproduce your experiment, it is equally important to ensure your methodology section isn’t unnecessarily long. Again, additional information is better to be placed within the appendices chapter.

The methodology is not the section to provide raw data, even if you are only discussing the data collection process. All such information should be moved to the appendices section.

Even if you feel some finding or numerical data is crucial to be presented within the methodology section, you can, at most, make brief comments about such data. Its discussion, however, is only allowed in the discussions section .

What Makes your Methodology Stand Out?

The factors which can determine if your dissertation methodology is ‘great’ depend on many factors, including the level of study you are currently enrolled in.

Undergraduate dissertations are, of course, less complex and less demanding. At most universities in the UK, undergraduate students are required to exhibit the ability to conduct thorough research as they engage for the first time with theoretical and conceptual frameworks in their chosen research area.

As an undergraduate student, you will be expected to showcase the capacity to reproduce what you have learnt from theorists in your academic subject, transform your leanings into a methodology that would help you address the research problem, and test the research hypothesis, as mentioned in the introduction chapter.

A great undergraduate-level dissertation will incorporate different schools of thought and make a valuable contribution to existing knowledge. However, in general, undergraduate-level dissertations’ focus should be to show thorough desk-based and independent research skills.

Postgraduate dissertation papers are much more compound and challenging because they are expected to make a substantial contribution to existing knowledge.

Depending on the academic institute, some postgraduate students are even required to develop a project published by leading academic journals as an approval of their research skills.

It is important to recognise the importance of a postgraduate dissertation towards building your professional career, especially if your work is considered impactful in your area of study and receives citations from multiple scholars, enhancing your reputation in academic communities.

Even if some academics cite your literature review and conclusion in their own work, it is a well-known fact that your methodology framework will result in many more citations regardless of your academic subject.

Other scholars and researchers in your area of study are likely to give much more value to a well-crafted methodology, especially one they can use as the starting point for their own research.

Of course, they can alter, refine and enhance your methodology in one way or another. They can even apply your methodological framework to a new data set or apply it in a completely new situation that is irrelevant to your work.

Finally, postgraduate dissertations are expected to be highly convincing and demonstrate in-depth engagement. They should be reproducible and show rigour, so the findings and conclusions can be regarded as authentic and reliable among scientific and academic communities.

The methodology is the door to success when it comes to dissertation projects. An original methodology that takes into consideration all aspects of research is likely to have an impact on the field of study.

As a postgraduate student, you should ask yourself, Is my dissertation methodology reproducible and transferable? Producing a methodology that others can reproduce in the future is as important as answering research questions .

The methodology chapter can either make or break the grade of your research/dissertation paper. It’s one of the research elements that leave a memorable impression on your readers. So, it would help if you took your time when it comes to choosing the right design and philosophical approach for your research.

Always use authentic academic sources and discuss your plans in detail with your supervisor if you believe your research design or approach has flaws in it.

Did this article help you learn how to write a dissertation methodology and how to structure a dissertation methodology? Let us know in your comments.

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Qualitative research methods in medical dissertations: an observational methodological study on prevalence and reporting quality of dissertation abstracts in a German university

Charlotte ullrich.

Department of General Practice and Health Services Research, University of Heidelberg Hospital, INF 130.3, 69120 Heidelberg, Germany

Anna Stürmlinger

Michel wensing, associated data.

The data of the repository databank is semi-public and can be accessed from the corresponding author upon reasonable request. A data extraction table is available in App. 2.Competing interests and funding: We have no conflicts of interest to disclose and no funding to report.

Qualitative methods offer a unique contribution to health research. Academic dissertations in the medical field provide an opportunity to explore research practice. Our aim was to assess the use of qualitative methods in dissertations in the medical field.

By means of a methodological observational study, an analysis of all academic medical dissertations’ abstracts between 1998 and 2018 in a repository databank of a large medical university faculty in Germany was performed. This included MD dissertations (Dr. med. (dent.)) and medical science dissertations (Dr. sc. hum.). All abstracts including “qualitativ*” were screened for studies using qualitative research methods. Data were extracted from abstracts using a category grid considering a) general characteristics (year, language, degree type), b) discipline, c) study design (mixed methods/qualitative only, data conduction, data analysis), d) sample (size and participants) and e) technologies used (data analysis software and recording technology). Thereby reporting quality was assessed.

In total, 103 abstracts of medical dissertations between 1998 and 2018 (1.4% of N  = 7619) were included, 60 of MD dissertations and 43 of medical sciences dissertations. Half of the abstracts ( n  = 51) referred to dissertations submitted since 2014. Most abstracts related to public health/hygiene ( n  = 27) and general practice ( n  = 26), followed by medical psychology ( n  = 19). About half of the studies ( n  = 47) used qualitative research methods exclusively, the other half ( n  = 56) used mixed methods. For data collection, primarily individual interviews were used ( n  = 80), followed by group interviews ( n  = 33) and direct observation ( n  = 11). Patients ( n  = 36), physicians ( n  = 36) and healthcare professionals ( n  = 17) were the most frequent research participants. Incomplete reporting of participants and data analysis was common ( n  = 67). Nearly half of the abstracts ( n  = 46) lacked information on how data was analysed, most of the remaining ( n  = 43) used some form of content analysis. In summary, 36 abstracts provided all crucial data (participants, sample size,; data collection and analysis method).

A small number of academic dissertations used qualitative research methods. About a third of these reported all key aspects of the methods used in the abstracts. Further research on the quality of choice and reporting of methods for qualitative research in dissertations is recommended.

Qualitative research methods offer a unique contribution to health research, particular for exploration of the experiences of patients, healthcare professionals and others [ 1 – 5 ]. While (general) epidemiology primarily addresses health and healthcare in populations and clinical research concentrates on medical interventions and health prognosis, qualitative research methods focus on different actors’ perspectives, experiences and behaviours in health-related contexts. Qualitative research entails a broad spectrum of methods of data conduction and data analysis: individual interviews illuminate individual perceptions [ 6 ], group interviews deliver insights into shared norms and opinions [ 7 ], direct observations facilitate understandings of behaviours in healthcare practice [ 8 – 10 ] and documents can offer insights into discourses and self-representations [ 11 ]. For data analysis, methods combining inductive and deductive steps are most suitable for exploratory research questions utilizing existing results, theories and concepts [ 12 ]. Given these prospects, little is known on the practice of applying qualitative research methods, especially concerning medicine.

In dissertations, a foundation for future scientific work is laid; therefore, guidance and rigour are of special importance [ 13 ]. Dissertations in medical departments provide a good opportunity to explore research practices of students and young academics. In Germany, about 60% of all graduating medical students complete an academic dissertation [ 14 ], which they usually finish parallel to medical school within a full-time equivalent of about a year [ 15 – 18 ]. As a by-product, medical doctoral students are increasingly among the authors of published research, holding first-authorship in about 25% [ 18 – 20 ].

In Germany, basic scientific training is a required part of the medical curriculum and recent policies put even more emphasis on the development of scientific competencies [ 15 , 21 , 22 ]. National regulations specify scientific competencies giving explicit recommendations for quantitative methods. Medical students have rarely received training in qualitative methods. However, health care professions and qualitative methods share a perspective directed to practice and interactions. Interviews and observations are already commonly used as clinical and diagnostic tools.

In addition to the doctoral degrees for medical and dental graduates (Doctor medicinae (dentariae), Dr. med. (dent.)), students with other disciplinary backgrounds (e.g. natural scientists, psychologists and social scientists) complete dissertations at medical faculties in Germany (often labelled Doctor scientiarum humanarum, Dr. sc. hum. or Doctor rerum medicarum, Dr. rer. medic.). Although regulations differ slightly, the degrees are usually situated within and regulated by the same institutional culture and context (e.g. faculty, department, supervision and aspired publications).

The aim of this study was to understand the current practice of applying qualitative research methods helping identify gaps in reporting and need for guidance. By means of a methodological study – a subtype of observational studies that evaluates the design, analysis of reporting of other research-related reports [ 23 ] – we investigated volume and variety of the use of qualitative research methods in dissertations at a German medical faculty. Hereby we wanted to inform methodological advances to health research and outline implications for medical education in scientific competencies training.

Search strategy

Dissertations in the medical field were retrospectively assessed: In a document analysis, all dissertation abstracts at one medical faculty were reviewed. This faculty was chosen as it is one of the oldest and largest medical faculties in Germany, with a strong research tradition and a high dissertation rate among graduating students. All abstracts from 01/01/1998 to 31/12/2018, which were publicly available in the repository databank of the university, were reviewed. This included MD dissertations (Dr. med. (dent.)) and medical science dissertations (Dr. sc. hum.) written in German or English. All types of studies using qualitative research methods, all types of human participants, all types of interventions and all types of measures were eligible. We focused on abstracts, because full text dissertations are not publicly available and are helpful to get an overview of a number of method-related issues. Although serving as a proxy, abstracts should provide a sufficient summary of the dissertation, including crucial information on study design, independently from the full text. In the databank, relevant documents had to be labelled a) “abstract of a medical dissertation” (referring to both degree types). To further identify dissertations using qualitative methods b) the search term “qualitativ*” was used as an inclusion criterium.

Selection and data extraction

All identified abstracts were pre-screened independently by two researchers (AS, LS) and then reviewed by the main research team (KK, AS, CU) excluding abstracts using “qualitativ*” only in respect to non-methods-related issues (e.g. quality of life). Data on a) general characteristics (year, language, degree type), b) discipline, c) study design (mixed methods/qualitative only, data conduction, data analysis), d) sample (size and participants) and e) technologies used (data analysis software and recording technology) (see App. 2) was then extracted independently by two team members (AS, LS) and crossed-checked (KK, CU). Data extraction was initially guided by two widely used reporting guidelines for qualitative health research articles [ 24 , 25 ] and adapted to reflect the abstract format: Abstracts provided comparable information on the set-up of study design and sample. Reporting of results was not assessed due to heterogeneity and briefness. Data extraction forms were piloted and adjusted to inductive findings. Disagreements were discussed, assessed and solved by consensus by the main research team (KK, AS, CU). Extracted data were analysed and reported as absolute and relative frequencies. As all abstracts were available, no further data was obtained from authors.

Search results

Out of a total of 7619 dissertation abstracts, 296 dissertations were initially identified. Of these, 173 abstracts were excluded from the study as “qualitativ*” in these abstracts did not refer to the research method. Additionally, 20 abstracts (12 medicine, 8 medical science) were not further included in the analysis due to an ambiguous and inconclusive use of the label “qualitative methods” and/or restricted comparability with the otherwise pre-dominant interview-based study designs: a) a qualitative research design was stated, but no further information on the approach was given ( n  = 7), b) no explicit distinction was made between qualitative research design and a clinical diagnostic approach ( n  = 4), c) the qualitative approach comprised of additional free text answers in written questionnaires only ( n  = 6), and d) only document analysis or observation was used ( n  = 3). In total, 103 abstracts (1.4% of 7619) were included in the analysis.

Low but increasing use

Since 1998, the number of dissertations applying qualitative methods has continually increased while the total number of dissertations remained stable (between n  = 314 in 2006 and n  = 410 in 1999 and 2008, M (1998–2018) = 362.8, SD = 26.1) (Fig.  1 ). Before 2005 there was yearly not more than one dissertation that used qualitative methods. Since then, the number has steadily raised to more than 10 dissertations per year, equivalent to an increase from 0.28% in 1998 to 3.42% in 2018 of all listed dissertation abstracts per year.

Number of all dissertations and dissertations using qualitative methods per year between 1998 and 2018

General characteristics

Abstracts nearly equally referred to dissertations leading to an MD degree (Dr. med. n  = 57, Dr. med. Dent. n  = 3) and medical science degree (Dr. sc. hum. n  = 43), respectively. The included dissertation abstracts were based in 12 different sub-specialties , most in general practice ( n  = 26), in public health and hygiene ( n  = 27) and medical psychology ( n  = 19); the Dr. med. (dent.) abstracts having a higher share in general practice ( n  = 21) and the Dr. sc. hum. abstracts in public health/hygiene ( n  = 16) (s. Table  1 ).

Usage of qualitative research design in dissertations at a medical faculty

Most abstracts followed at least roughly the common structure of background, methods, results and conclusion. The length of the abstracts varied between less than one and more than three pages, with most abstracts being one to two pages long; 77 abstracts were written in German and 26 in English.

Study design

About half of the studies used qualitative research methods exclusively ( n  = 47; 60% of Dr. med. (dent.) abstracts, 26% of Dr. sc. hum. abstracts), the other half mixed methods ( n  = 56; 40% of Dr. med. (dent.) abstracts, 74% of Dr. sc. hum. abstracts; Table ​ Table1). 1 ). Individual interviews were the most common form of data collection ( n  = 80), followed by group interviews ( n  = 33) and observation ( n  = 11). In total, 23 abstracts indicated the use of a combination of different qualitative methods of data conduction, all of these included individual interviews. For documentation/recording, when reported ( n  = 37), audio recording was used in most cases ( n  = 3).

Little difference regarding method of data conduction were found between pure qualitative and mixed-methods designs. Mixed methods studies rather included physicians ( n  = 21) and used predominantly general content analysis ( n  = 14), when reported; whereas qualitative studies rather included patients ( n  = 28) and used predominantly both content analysis ( n  = 14) and content analysis following Mayring ( n  = 12). Overall incomplete reporting was more common in mixed-method studies ( n  = 41) than qualitative studies ( n  = 26, 55.3%) (see App. 2).

Sample size varied widely: Overall, 67 abstracts provided a sample size. Of those, a median number of 29 people (min-max: 2–136) participated in individual and group interviews. Only in Dr. sc. hum. dissertations using mixed methods, lower median sample sizes were reported for the qualitative part (Md = 22, min-max: 6–110; n  = 17) compared to dissertations using qualitative methods only (medical science ( n  = 7): Md = 31, min-max: 16–50; MD ( n  = 29): Md = 29, min-max: 7–136) and Dr. med. (dent.) dissertations with mixed methods (Md = 30, min-max: 2–62; n  = 14). In individual interviews, when sample size was reported ( n  = 55, 69% of 80), it distributed roughly equally in the ranges of 1–10, 11–20, 21–30, 31–50 and above 50 (Md = 25; min-max: 2–110). For the 33 dissertations using group interviews, the number of groups is given in 20 abstracts, the number of participants in 15 abstracts. Between 1 and 24 group interviews were conducted with a median total of 24 participants (min-max: 2–65) (see Table ​ Table1 1 ).

Patients ( n  = 36) and physicians ( n  = 36) were the overall most frequent research participants , followed by other health care professionals ( n  = 17), students ( n  = 11) and relatives of patients ( n  = 7). Other participants ( n  = 16) included: representatives of self-help organizations and other experts, educators such as teachers and policy makers. In 33% ( n  = 31) of the abstracts, more than one participant group was included, 6.8% ( n  = 7) did not specify research participants. While MD dissertations predominantly included physicians ( n  = 27) and patients ( n  = 19), Dr. sc. hum. dissertations included mostly patients ( n  = 17) and other participants ( n  = 10).

Data analysis

For data analysis, if reported ( n  = 57), content analyses were the most common used method ( n  = 42), including the highly deductive approach formulated by Mayring [ 26 ] ( n  = 16), mostly used in MD dissertations ( n  = 14). Among other reported methods ( n  = 15), grounded theory ( n  = 5) was the most common approach; rarely mentioned methods include framework analysis and non-specific analysis combining inductive and deductive approaches. Forty-six abstracts did not provide information on the analysis method used (38.3% of MD abstracts, 53% of medical science abstracts). If reported ( n  = 24), ATLAS.ti ( n  = 14), MAXQDA ( n  = 3) and NVivo ( n  = 3) were mentioned most frequently as qualitative data analysis programs.

In summary, 36 abstracts provided all crucial data (participants: sample size, characteristics, i.e. healthcare professional/patient; data collection and analysis method). Thus, 58% ( n  = 35) of MD dissertation abstracts and 74% ( n  = 32) of Dr. sc. hum. dissertation abstracts had at least one missing information.

The results show a low but increasing use of qualitative research methods in medical dissertations. Abstracts nearly equally referred to dissertations leading to an MD degree and medical science doctorate respectively; half of which were submitted since 2011. Qualitative methods were used in several departments, most frequently in those for general practice, public health and medical psychology mirroring an already known affinity between the objective of certain medical disciplines and perspective qualitative methods [ 27 , 28 ].

About half of the studies used qualitative research methods exclusively, the other half mixed methods: While some differences were found, due to short format and sparse information within the abstract a strict differentiation between qualitative approaches alone and combined quantitative and qualitative designs was not made. Little difference according to degree type was observed. This points to a strong shared dissertation culture, that balances and conceals differences in academic training between medical students and graduates from other, quite diverse, disciplines (e.g. from humanities, natural and social sciences) pursuing a doctorate at a medical faculty.

Limited variety in methods used

The results show a strong preference for certain methods in data conduction, research participants and data analysis: Individual and group interviews were predominant as well as content analysis, especially Mayring’s deductive approach. All in all, a limited use of the broad spectrum of qualitative research methods can be observed. Interviews are important to gain insights on actors’ perspective [ 6 ]; however, they have limited information value when it comes to actual processes and practice of health care. To investigates those, additional direct observation would be suitable [ 8 , 9 ]. In group interviews shared norms and opions can be observed, they are not suitable to capture individual perspectices. Group interviews go along with higher time and efforts regarding scheduling, interview guidance and data analysis [ 7 ]. Within the dissertations, documents are rarely used as data within the dissertations, but could be useful readily available documents.

Included research participants were mostly patients and physicians. This might be due to the research questions posed or the availability of participants. However, to reflect the complexity of health care a higher diversity of research questions, expanding participants (e.g. other health care professionals and caregivers) and based on a thorough knowledge of available methods, including qualitative approaches, might be needed.

As for methods of analysis, the results show a predominant use of a form of content analysis, with a strong affinity to quantitative analysis often limited to description forgoing in-depth analysis. As qualitative methods belong to the interpretative paradigm, most qualitative methodologies emphasize inductive analyses (e.g. Grounded Theory) and/or a combination of induction and deduction [ 12 , 29 ]. By using primarily descriptive content analysis the full potential of qualitative research and depth of the data to gain new a insights are thus neglected. Since knowledge about and application of qualitative methods are not part of the medical curriculum, doctoral students lack training in using qualitative methods and grasping the possibilities these methods convey for in-depth original knowledge.

Incomplete reporting

One fundamental principle of good research practice is accurate reporting. For empirical research, reporting on research design and methods is crucial to ensure comparability and reflect reach of research results. Within medicine and other health sciences, while debated [ 30 ], reporting guidelines are increasingly used to guarantee a basic standard. While qualitative research designs differ from clinical and quantitative designs regarding theoretical and methodological background, study aims and research process, rigorous reporting is a shared standard: this includes reporting on data conduction, sampling, participants and data analysis (e.g. COREQ [ 24 ]).

In our study, incomplete reporting regarding research design and methods was common. Especially, information on methods of data analysis was missing in about half of the abstracts reflecting the limited awareness of the plethora of qualitative analysis methods. Additionally, a third of the abstracts did not provide information on sample size. Although the importance of a “sufficient” sample size is controversially discussed, identifying the sources and putting their contributions into perspective is a paramount characteristic of qualitative research [ 31 – 33 ]. All in all, incomplete reporting was common ( n  = 67). Additionally, out of 123 initially identified abstracts, 20 had to be excluded from the analysis as comparability was not given mainly due to the inconclusive use of the term qualitative methods.

Several issues should be considered when interpreting the findings from this study. As a case study at one large faculty, which has a strong research orientation, the generalizability of the findings is uncertain. It seems unlikely that the quality of reporting is better in other medical faculties in Germany, but the prevalence of using qualitative methods might be higher. Character and role of the abstracts might not be as apparent as in journal papers, as they serve as a summary of the dissertation and are listed within the online repository databank only. The relation of reporting quality of those abstracts and the full text dissertation or even publication is unknown. Presentation of results was not assessed as information in abstracts were brief and heterogenous. Additionally, insights are limited by the structure of the repository databank itself, i.e. sub-disciplines are combined that sometimes cover distinct research fields or did evolve as separate specialties. All in all, however, the results mirror the critique on the lack of scientific training in medical education [ 17 , 22 , 34 , 35 ] and the want of sufficient reporting in medicine and health science, irrespective of study design [ 36 ].

While recent policies put a strong emphasis on strengthening scientific competences in medical education in Germany [ 15 , 21 , 22 ], especially MD dissertations are only in some degree comparable to dissertation thesis of other disciplines and medical dissertations internationally: In Germany, about 60% of all graduating medical students complete an academic dissertation [ 14 ], which they usually finish parallel to medical school within a full-time equivalent of about a year [ 15 – 18 ]. Graduate programs that exclusively dedicate 1 year for pursuing a dissertation are still discussed as innovative [ 35 ]. Additionally, the expertise of supervisors was not assessed. In a recent opinion paper, Malterud et al. [ 37 ] called for supervisors and dissertation committees holding corresponding methodological skills and experience as well as an academic consensus regarding scientific rigour to ensure high quality theses using qualitative methods. Missing standards in supervision and reporting might have led to the observed results in our study.

Qualitative research methods offer a unique scientific benefit to health care, including medicine. Our results show that within dissertation research, the number of dissertations applying qualitative methods has continually increased mirroring an overall trend in health research. To improve reach and results, a broader spectrum of qualitative methods should be considered when selecting research designs, including e.g. (direct) observation, document and analysis strategies, that combine inductive and deductive approaches. Same holds true for including a more diverse body of research participants. More broadly, reporting and academic practice should be improved.

Reporting guidelines can not only help to improve the quality of reporting but also be used as a tool to supervising graduate students steps commonly associated with qualitative research methods. So far, however, reporting guidelines mainly target full and/or published papers. Still, some reporting guidelines for abstracts are already available [ 38 – 41 ], that could be adapted for dissertation research in health science.

In academic practice, skilled supervision alongside transparent and method-appropriate criteria are the precondition for confident and courageous dissertation research that increases understanding and challenges existing knowledge of health care research. Educational programs strengthening research and reporting skills – within and beyond qualitative methods – should be implemented into medical education more profoundly, at the latest in doctoral training.

Acknowledgements

We would like to thank Laura Svensson for assisting in reviewing the abstracts and data extraction. In addition, we would like to thank the reviewers for their thorough review and constructive comments.

Abbreviations

Authors’ contributions.

CU and KK conceived the idea for this manuscript. CU, KK and AS reviewed, extracted and analyzed the data. KK led the data analysis. CU wrote the first draft of the manuscript. MW provided substantial comments at different stages of the manuscript. CU, KK and MW critically revised the manuscript. All authors read and approved the manuscript for submission.

Open Access funding enabled and organized by Projekt DEAL.

Availability of data and materials

Ethics approval and consent to participate.

Not applicable. In accordance with the scope and design of this study no formal study protocol was written.

Consent for publication

Not applicable.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Charlotte Ullrich, Email: [email protected] .

Anna Stürmlinger, Email: [email protected] .

Michel Wensing, Email: [email protected] .

Katja Krug, Email: [email protected] .

How To Write The Methodology Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD) | Reviewed By: Dr. Eunice Rautenbach | September 2021 (Updated April 2023)

So, you’ve pinned down your research topic and undertaken a review of the literature – now it’s time to write up the methodology section of your dissertation, thesis or research paper . But what exactly is the methodology chapter all about – and how do you go about writing one? In this post, we’ll unpack the topic, step by step .

Overview: The Methodology Chapter

• The purpose  of the methodology chapter
• Why you need to craft this chapter (really) well
• How to write and structure the chapter
• Methodology chapter example
• Essential takeaways

What (exactly) is the methodology chapter?

The methodology chapter is where you outline the philosophical underpinnings of your research and outline the specific methodological choices you’ve made. The point of the methodology chapter is to tell the reader exactly how you designed your study and, just as importantly, why you did it this way.

Importantly, this chapter should comprehensively describe and justify all the methodological choices you made in your study. For example, the approach you took to your research (i.e., qualitative, quantitative or mixed), who  you collected data from (i.e., your sampling strategy), how you collected your data and, of course, how you analysed it. If that sounds a little intimidating, don’t worry – we’ll explain all these methodological choices in this post .

Why is the methodology chapter important?

The methodology chapter plays two important roles in your dissertation or thesis:

Firstly, it demonstrates your understanding of research theory, which is what earns you marks. A flawed research design or methodology would mean flawed results. So, this chapter is vital as it allows you to show the marker that you know what you’re doing and that your results are credible .

Secondly, the methodology chapter is what helps to make your study replicable. In other words, it allows other researchers to undertake your study using the same methodological approach, and compare their findings to yours. This is very important within academic research, as each study builds on previous studies.

The methodology chapter is also important in that it allows you to identify and discuss any methodological issues or problems you encountered (i.e., research limitations ), and to explain how you mitigated the impacts of these. Every research project has its limitations , so it’s important to acknowledge these openly and highlight your study’s value despite its limitations . Doing so demonstrates your understanding of research design, which will earn you marks. We’ll discuss limitations in a bit more detail later in this post, so stay tuned!

Need a helping hand?

How to write up the methodology chapter

First off, it’s worth noting that the exact structure and contents of the methodology chapter will vary depending on the field of research (e.g., humanities, chemistry or engineering) as well as the university . So, be sure to always check the guidelines provided by your institution for clarity and, if possible, review past dissertations from your university. Here we’re going to discuss a generic structure for a methodology chapter typically found in the sciences.

Before you start writing, it’s always a good idea to draw up a rough outline to guide your writing. Don’t just start writing without knowing what you’ll discuss where. If you do, you’ll likely end up with a disjointed, ill-flowing narrative . You’ll then waste a lot of time rewriting in an attempt to try to stitch all the pieces together. Do yourself a favour and start with the end in mind .

Section 1 – Introduction

As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims . As we’ve discussed many times on the blog, your methodology needs to align with your research aims, objectives and research questions. Therefore, it’s useful to frontload this component to remind the reader (and yourself!) what you’re trying to achieve.

In this section, you can also briefly mention how you’ll structure the chapter. This will help orient the reader and provide a bit of a roadmap so that they know what to expect. You don’t need a lot of detail here – just a brief outline will do.

Section 2 – The Methodology

The next section of your chapter is where you’ll present the actual methodology. In this section, you need to detail and justify the key methodological choices you’ve made in a logical, intuitive fashion. Importantly, this is the heart of your methodology chapter, so you need to get specific – don’t hold back on the details here. This is not one of those “less is more” situations.

Let’s take a look at the most common components you’ll likely need to cover. 

Methodological Choice #1 – Research Philosophy

Research philosophy refers to the underlying beliefs (i.e., the worldview) regarding how data about a phenomenon should be gathered , analysed and used . The research philosophy will serve as the core of your study and underpin all of the other research design choices, so it’s critically important that you understand which philosophy you’ll adopt and why you made that choice. If you’re not clear on this, take the time to get clarity before you make any further methodological choices.

While several research philosophies exist, two commonly adopted ones are positivism and interpretivism . These two sit roughly on opposite sides of the research philosophy spectrum.

Positivism states that the researcher can observe reality objectively and that there is only one reality, which exists independently of the observer. As a consequence, it is quite commonly the underlying research philosophy in quantitative studies and is oftentimes the assumed philosophy in the physical sciences.

Contrasted with this, interpretivism , which is often the underlying research philosophy in qualitative studies, assumes that the researcher performs a role in observing the world around them and that reality is unique to each observer . In other words, reality is observed subjectively .

These are just two philosophies (there are many more), but they demonstrate significantly different approaches to research and have a significant impact on all the methodological choices. Therefore, it’s vital that you clearly outline and justify your research philosophy at the beginning of your methodology chapter, as it sets the scene for everything that follows.

Methodological Choice #2 – Research Type

The next thing you would typically discuss in your methodology section is the research type. The starting point for this is to indicate whether the research you conducted is inductive or deductive .

Inductive research takes a bottom-up approach , where the researcher begins with specific observations or data and then draws general conclusions or theories from those observations. Therefore these studies tend to be exploratory in terms of approach.

Conversely , d eductive research takes a top-down approach , where the researcher starts with a theory or hypothesis and then tests it using specific observations or data. Therefore these studies tend to be confirmatory in approach.

Related to this, you’ll need to indicate whether your study adopts a qualitative, quantitative or mixed  approach. As we’ve mentioned, there’s a strong link between this choice and your research philosophy, so make sure that your choices are tightly aligned . When you write this section up, remember to clearly justify your choices, as they form the foundation of your study.

Methodological Choice #3 – Research Strategy

Next, you’ll need to discuss your research strategy (also referred to as a research design ). This methodological choice refers to the broader strategy in terms of how you’ll conduct your research, based on the aims of your study.

Several research strategies exist, including experimental , case studies , ethnography , grounded theory, action research , and phenomenology . Let’s take a look at two of these, experimental and ethnographic, to see how they contrast.

Experimental research makes use of the scientific method , where one group is the control group (in which no variables are manipulated ) and another is the experimental group (in which a specific variable is manipulated). This type of research is undertaken under strict conditions in a controlled, artificial environment (e.g., a laboratory). By having firm control over the environment, experimental research typically allows the researcher to establish causation between variables. Therefore, it can be a good choice if you have research aims that involve identifying causal relationships.

Ethnographic research , on the other hand, involves observing and capturing the experiences and perceptions of participants in their natural environment (for example, at home or in the office). In other words, in an uncontrolled environment.  Naturally, this means that this research strategy would be far less suitable if your research aims involve identifying causation, but it would be very valuable if you’re looking to explore and examine a group culture, for example.

As you can see, the right research strategy will depend largely on your research aims and research questions – in other words, what you’re trying to figure out. Therefore, as with every other methodological choice, it’s essential to justify why you chose the research strategy you did.

Methodological Choice #4 – Time Horizon

The next thing you’ll need to detail in your methodology chapter is the time horizon. There are two options here: cross-sectional and longitudinal . In other words, whether the data for your study were all collected at one point in time (cross-sectional) or at multiple points in time (longitudinal).

The choice you make here depends again on your research aims, objectives and research questions. If, for example, you aim to assess how a specific group of people’s perspectives regarding a topic change over time , you’d likely adopt a longitudinal time horizon.

Another important factor to consider is simply whether you have the time necessary to adopt a longitudinal approach (which could involve collecting data over multiple months or even years). Oftentimes, the time pressures of your degree program will force your hand into adopting a cross-sectional time horizon, so keep this in mind.

Methodological Choice #5 – Sampling Strategy

Next, you’ll need to discuss your sampling strategy . There are two main categories of sampling, probability and non-probability sampling.

Probability sampling involves a random (and therefore representative) selection of participants from a population, whereas non-probability sampling entails selecting participants in a non-random  (and therefore non-representative) manner. For example, selecting participants based on ease of access (this is called a convenience sample).

The right sampling approach depends largely on what you’re trying to achieve in your study. Specifically, whether you trying to develop findings that are generalisable to a population or not. Practicalities and resource constraints also play a large role here, as it can oftentimes be challenging to gain access to a truly random sample. In the video below, we explore some of the most common sampling strategies.

Methodological Choice #6 – Data Collection Method

Next up, you’ll need to explain how you’ll go about collecting the necessary data for your study. Your data collection method (or methods) will depend on the type of data that you plan to collect – in other words, qualitative or quantitative data.

Typically, quantitative research relies on surveys , data generated by lab equipment, analytics software or existing datasets. Qualitative research, on the other hand, often makes use of collection methods such as interviews , focus groups , participant observations, and ethnography.

So, as you can see, there is a tight link between this section and the design choices you outlined in earlier sections. Strong alignment between these sections, as well as your research aims and questions is therefore very important.

Methodological Choice #7 – Data Analysis Methods/Techniques

The final major methodological choice that you need to address is that of analysis techniques . In other words, how you’ll go about analysing your date once you’ve collected it. Here it’s important to be very specific about your analysis methods and/or techniques – don’t leave any room for interpretation. Also, as with all choices in this chapter, you need to justify each choice you make.

What exactly you discuss here will depend largely on the type of study you’re conducting (i.e., qualitative, quantitative, or mixed methods). For qualitative studies, common analysis methods include content analysis , thematic analysis and discourse analysis . In the video below, we explain each of these in plain language.

For quantitative studies, you’ll almost always make use of descriptive statistics , and in many cases, you’ll also use inferential statistical techniques (e.g., correlation and regression analysis). In the video below, we unpack some of the core concepts involved in descriptive and inferential statistics.

In this section of your methodology chapter, it’s also important to discuss how you prepared your data for analysis, and what software you used (if any). For example, quantitative data will often require some initial preparation such as removing duplicates or incomplete responses . Similarly, qualitative data will often require transcription and perhaps even translation. As always, remember to state both what you did and why you did it.

Section 3 – The Methodological Limitations

With the key methodological choices outlined and justified, the next step is to discuss the limitations of your design. No research methodology is perfect – there will always be trade-offs between the “ideal” methodology and what’s practical and viable, given your constraints. Therefore, this section of your methodology chapter is where you’ll discuss the trade-offs you had to make, and why these were justified given the context.

Methodological limitations can vary greatly from study to study, ranging from common issues such as time and budget constraints to issues of sample or selection bias . For example, you may find that you didn’t manage to draw in enough respondents to achieve the desired sample size (and therefore, statistically significant results), or your sample may be skewed heavily towards a certain demographic, thereby negatively impacting representativeness .

In this section, it’s important to be critical of the shortcomings of your study. There’s no use trying to hide them (your marker will be aware of them regardless). By being critical, you’ll demonstrate to your marker that you have a strong understanding of research theory, so don’t be shy here. At the same time, don’t beat your study to death . State the limitations, why these were justified, how you mitigated their impacts to the best degree possible, and how your study still provides value despite these limitations .

Section 4 – Concluding Summary

Finally, it’s time to wrap up the methodology chapter with a brief concluding summary. In this section, you’ll want to concisely summarise what you’ve presented in the chapter. Here, it can be a good idea to use a figure to summarise the key decisions, especially if your university recommends using a specific model (for example, Saunders’ Research Onion ).

Importantly, this section needs to be brief – a paragraph or two maximum (it’s a summary, after all). Also, make sure that when you write up your concluding summary, you include only what you’ve already discussed in your chapter; don’t add any new information.

Methodology Chapter Example

In the video below, we walk you through an example of a high-quality research methodology chapter from a dissertation. We also unpack our free methodology chapter template so that you can see how best to structure your chapter.

Wrapping Up

And there you have it – the methodology chapter in a nutshell. As we’ve mentioned, the exact contents and structure of this chapter can vary between universities , so be sure to check in with your institution before you start writing. If possible, try to find dissertations or theses from former students of your specific degree program – this will give you a strong indication of the expectations and norms when it comes to the methodology chapter (and all the other chapters!).

Also, remember the golden rule of the methodology chapter – justify every choice ! Make sure that you clearly explain the “why” for every “what”, and reference credible methodology textbooks or academic sources to back up your justifications.

If you need a helping hand with your research methodology (or any other component of your research), be sure to check out our private coaching service , where we hold your hand through every step of the research journey. Until next time, good luck!

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Thesis and Dissertation: Getting Started

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The resources in this section are designed to provide guidance for the first steps of the thesis or dissertation writing process. They offer tools to support the planning and managing of your project, including writing out your weekly schedule, outlining your goals, and organzing the various working elements of your project.

Weekly Goals Sheet (a.k.a. Life Map) [Word Doc]

This editable handout provides a place for you to fill in available time blocks on a weekly chart that will help you visualize the amount of time you have available to write. By using this chart, you will be able to work your writing goals into your schedule and put these goals into perspective with your day-to-day plans and responsibilities each week. This handout also contains a formula to help you determine the minimum number of pages you would need to write per day in order to complete your writing on time.

Setting a Production Schedule (Word Doc)

This editable handout can help you make sense of the various steps involved in the production of your thesis or dissertation and determine how long each step might take. A large part of this process involves (1) seeking out the most accurate and up-to-date information regarding specific document formatting requirements, (2) understanding research protocol limitations, (3) making note of deadlines, and (4) understanding your personal writing habits.

Creating a Roadmap (PDF)

Part of organizing your writing involves having a clear sense of how the different working parts relate to one another. Creating a roadmap for your dissertation early on can help you determine what the final document will include and how all the pieces are connected. This resource offers guidance on several approaches to creating a roadmap, including creating lists, maps, nut-shells, visuals, and different methods for outlining. It is important to remember that you can create more than one roadmap (or more than one type of roadmap) depending on how the different approaches discussed here meet your needs.

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Home » Research Methods – Types, Examples and Guide

Research Methods – Types, Examples and Guide

Table of Contents

Research Methods

Definition:

Research Methods refer to the techniques, procedures, and processes used by researchers to collect , analyze, and interpret data in order to answer research questions or test hypotheses. The methods used in research can vary depending on the research questions, the type of data that is being collected, and the research design.

Types of Research Methods

Types of Research Methods are as follows:

Qualitative research Method

Qualitative research methods are used to collect and analyze non-numerical data. This type of research is useful when the objective is to explore the meaning of phenomena, understand the experiences of individuals, or gain insights into complex social processes. Qualitative research methods include interviews, focus groups, ethnography, and content analysis.

Quantitative Research Method

Quantitative research methods are used to collect and analyze numerical data. This type of research is useful when the objective is to test a hypothesis, determine cause-and-effect relationships, and measure the prevalence of certain phenomena. Quantitative research methods include surveys, experiments, and secondary data analysis.

Mixed Method Research

Mixed Method Research refers to the combination of both qualitative and quantitative research methods in a single study. This approach aims to overcome the limitations of each individual method and to provide a more comprehensive understanding of the research topic. This approach allows researchers to gather both quantitative data, which is often used to test hypotheses and make generalizations about a population, and qualitative data, which provides a more in-depth understanding of the experiences and perspectives of individuals.

Key Differences Between Research Methods

The following Table shows the key differences between Quantitative, Qualitative and Mixed Research Methods

Examples of Research Methods

Examples of Research Methods are as follows:

Qualitative Research Example:

A researcher wants to study the experience of cancer patients during their treatment. They conduct in-depth interviews with patients to gather data on their emotional state, coping mechanisms, and support systems.

Quantitative Research Example:

A company wants to determine the effectiveness of a new advertisement campaign. They survey a large group of people, asking them to rate their awareness of the product and their likelihood of purchasing it.

Mixed Research Example:

A university wants to evaluate the effectiveness of a new teaching method in improving student performance. They collect both quantitative data (such as test scores) and qualitative data (such as feedback from students and teachers) to get a complete picture of the impact of the new method.

Applications of Research Methods

Research methods are used in various fields to investigate, analyze, and answer research questions. Here are some examples of how research methods are applied in different fields:

• Psychology : Research methods are widely used in psychology to study human behavior, emotions, and mental processes. For example, researchers may use experiments, surveys, and observational studies to understand how people behave in different situations, how they respond to different stimuli, and how their brains process information.
• Sociology : Sociologists use research methods to study social phenomena, such as social inequality, social change, and social relationships. Researchers may use surveys, interviews, and observational studies to collect data on social attitudes, beliefs, and behaviors.
• Medicine : Research methods are essential in medical research to study diseases, test new treatments, and evaluate their effectiveness. Researchers may use clinical trials, case studies, and laboratory experiments to collect data on the efficacy and safety of different medical treatments.
• Education : Research methods are used in education to understand how students learn, how teachers teach, and how educational policies affect student outcomes. Researchers may use surveys, experiments, and observational studies to collect data on student performance, teacher effectiveness, and educational programs.
• Business : Research methods are used in business to understand consumer behavior, market trends, and business strategies. Researchers may use surveys, focus groups, and observational studies to collect data on consumer preferences, market trends, and industry competition.
• Environmental science : Research methods are used in environmental science to study the natural world and its ecosystems. Researchers may use field studies, laboratory experiments, and observational studies to collect data on environmental factors, such as air and water quality, and the impact of human activities on the environment.
• Political science : Research methods are used in political science to study political systems, institutions, and behavior. Researchers may use surveys, experiments, and observational studies to collect data on political attitudes, voting behavior, and the impact of policies on society.

Purpose of Research Methods

Research methods serve several purposes, including:

• Identify research problems: Research methods are used to identify research problems or questions that need to be addressed through empirical investigation.
• Develop hypotheses: Research methods help researchers develop hypotheses, which are tentative explanations for the observed phenomenon or relationship.
• Collect data: Research methods enable researchers to collect data in a systematic and objective way, which is necessary to test hypotheses and draw meaningful conclusions.
• Analyze data: Research methods provide tools and techniques for analyzing data, such as statistical analysis, content analysis, and discourse analysis.
• Test hypotheses: Research methods allow researchers to test hypotheses by examining the relationships between variables in a systematic and controlled manner.
• Draw conclusions : Research methods facilitate the drawing of conclusions based on empirical evidence and help researchers make generalizations about a population based on their sample data.
• Enhance understanding: Research methods contribute to the development of knowledge and enhance our understanding of various phenomena and relationships, which can inform policy, practice, and theory.

When to Use Research Methods

Research methods are used when you need to gather information or data to answer a question or to gain insights into a particular phenomenon.

Here are some situations when research methods may be appropriate:

• To investigate a problem : Research methods can be used to investigate a problem or a research question in a particular field. This can help in identifying the root cause of the problem and developing solutions.
• To gather data: Research methods can be used to collect data on a particular subject. This can be done through surveys, interviews, observations, experiments, and more.
• To evaluate programs : Research methods can be used to evaluate the effectiveness of a program, intervention, or policy. This can help in determining whether the program is meeting its goals and objectives.
• To explore new areas : Research methods can be used to explore new areas of inquiry or to test new hypotheses. This can help in advancing knowledge in a particular field.
• To make informed decisions : Research methods can be used to gather information and data to support informed decision-making. This can be useful in various fields such as healthcare, business, and education.

Advantages of Research Methods

Research methods provide several advantages, including:

• Objectivity : Research methods enable researchers to gather data in a systematic and objective manner, minimizing personal biases and subjectivity. This leads to more reliable and valid results.
• Replicability : A key advantage of research methods is that they allow for replication of studies by other researchers. This helps to confirm the validity of the findings and ensures that the results are not specific to the particular research team.
• Generalizability : Research methods enable researchers to gather data from a representative sample of the population, allowing for generalizability of the findings to a larger population. This increases the external validity of the research.
• Precision : Research methods enable researchers to gather data using standardized procedures, ensuring that the data is accurate and precise. This allows researchers to make accurate predictions and draw meaningful conclusions.
• Efficiency : Research methods enable researchers to gather data efficiently, saving time and resources. This is especially important when studying large populations or complex phenomena.
• Innovation : Research methods enable researchers to develop new techniques and tools for data collection and analysis, leading to innovation and advancement in the field.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Finding Dissertations

• Research Ethics

Find Dissertations Using a Particular Method/Methodology

To find dissertations and theses in other databases, filter the A-Z Database List by  Dissertations and Theses . Click the database title to search in it. Enter your search terms and filter the search within the database to Dissertation/Thesis under the Document type or Format. Here is an example though different databases will vary as to the exact appearance and wording:

You can also limit a OneSearch search to Dissertations in the Resource Type option under Tweak your results .

There are other repositories containing dissertations and theses potentially available for borrowing through other institutions so please contact library staff if you need assistance tracking one down. You may also find a dissertation published as an author's first book (often with a similar title) or selected chapters published as articles.

• To find a dissertation published as a book, search for the author at  WorldCat . 
• To find dissertation findings published as articles, search for the author in one of our journal article databases.

Search for a dissertation by Research Methodology:

Use the name of the research method as a keyword. Search for the research method itself or combined with your topic, for example:

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Dissertation Research Methods 1st Edition

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Dissertation Research Methods: A Step-by-Step Guide to Writing Up Your Research in the Social Sciences focuses specifically on the methodology for planning, writing and submitting your dissertation thesis. Written by two methodology experts in the social sciences, the book provides a step-by-step guide through each stage of the dissertation process.

It covers all aspects of the methodological considerations needed, from choosing a topic or research question, developing a literature review, identifying research gaps, accessing potential study participants, utilizing the right sampling strategies, analyzing data and writing up findings. Readers are introduced to the main research methods normally used in dissertations and their characteristics, and they are guided to choose an appropriate research method for their study, provide a substantial description of the selected method and articulate strong arguments in support of it. The book is filled with templates, exemplars and tools to help students write about methodology in their thesis and to equip readers to successfully troubleshoot any methodology challenges they may face.

This compact book will be of use to all graduate students and their supervisors in the Social Sciences and Education and Behavioural Sciences who are looking for a guide to working with robust and defensible methodological principles in their dissertation research and theses.

• ISBN-10 103221385X
• ISBN-13 978-1032213859
• Edition 1st
• Publication date September 11, 2023
• Language English
• Dimensions 6.14 x 1.06 x 9.21 inches
• Print length 470 pages
• See all details

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Editorial Reviews

About the author.

Philip Adu is a methodology expert and founder of the Center for Research Methods Consulting. He has provided research methodology services to clients for over ten years. He is also a contributing faculty at Walden University. Dr. Adu is the author of A Step-by-Step Guide to Qualitative Data Coding (2019). He is also a co-author of The Theoretical Framework in Phenomenological Research (2022).

D. Anthony Miles is CEO and founder of Miles Development Industries Corporation®, a consulting practice and venture capital acquisition firm. He also has extensive experience with dissertations and assisting doctoral students. Dr. Miles has served as a dissertation chair, methodologist and statistician. He has over ten years' experience with dissertations and has worked with over 100 doctoral students. In 2009, he was awarded the USASBE Doctoral Consortium fellowship for his doctoral research.

Product details

• Publisher ‏ : ‎ Routledge; 1st edition (September 11, 2023)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 470 pages
• ISBN-10 ‏ : ‎ 103221385X
• ISBN-13 ‏ : ‎ 978-1032213859
• Item Weight ‏ : ‎ 1.54 pounds
• Dimensions ‏ : ‎ 6.14 x 1.06 x 9.21 inches
• #271 in Popular Psychology Research
• #284 in Medical Psychology Research
• #599 in Social Sciences Research

About the authors

D. anthony miles.

D. Anthony Miles, Ph.D., CMA, RBA, MBC, MCP (San Antonio, TX), is a serial entrepreneur, award-winning researcher, award-winning professor, award-winning statistician, legal expert witness, startup/marketing expert, forensic marketing expert, and best-selling author. He is CEO and Founder, of Miles Development Industries Corporation®, a consulting practice and venture capital firm, https://mdicorpventures.com/

Dr. Miles is a nationally known Startup and Marketing expert. He has done more than 100 media interviews as a subject matter expert. He has been featured on nationally syndicated media outlets such as: ABC News, CBS News, Fox News, NBC News, CNN, Huffington Post, Forbes, Reader’s Digest, Bloomberg Radio, Blog Talk Radio, WGN Radio in Chicago, iHeart Radio, YouTube, iTunes, TuneIn, and numerous others.. Also he is host and executive producer of Game On Business Talk® Radio Show. He was invited to Harvard University by the Harvard Business School (HBS). He has a Ph.D./MBA in Entrepreneurship/General Business from the University of the Incarnate Word.

Philip Kontor Adu PhD

I'm the Founder of Center for Research Methods Consulting, LLC. As a Methodology Expert at this center, I provide research methodology services/consultations to researchers, practitioners, faculty, and students. I was a Methodology Expert at the Chicago School of Professional Psychology (TCSPP) for 10 years. I completed my Interdisciplinary Ph.D. in Education at West Virginia University. I’m specialized in program planning and evaluation, curriculum development, and technology integration. I was involved in diverse program planning and evaluation projects such as a National Science Foundation funded project, “Engineers of Tomorrow”, and “Quality Rating and Improvement for West Virginia Child Care”, which was funded by the West Virginia Department of Health and Human Resources. I have made several presentations at the American Educational Research Association (AERA) annual conference. I also served as a reviewer of the Journal of Mixed Methods Research.

I have extensive knowledge and skills in conducting research (especially qualitative research), and designing and teaching research method courses. I developed and taught Statistics, Qualitative Research, Action Research, and Program Evaluation courses in the International Psychology program, and Educational Psychology and Technology program at TCSPP. My unique way of demystifying and simplifying qualitative data analysis processes to my audience during webinars (posted in YouTube) have been a great help to many. In addition, I have expertise in using NVivo (a qualitative analysis software) to conduct qualitative analysis. An example of this can be found in my popular NVivo blog post, “Perfecting the Art of Qualitative Coding”.

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Michael Skuhersky Thesis Defense: An Integrated Approach for Caenorhabditis elegans Nervous System Simulation

Speaker : Michael Skuhersky

Advisor : Edward Boyden

Defense date/time : April 24th at 2pm

In-person location : Singleton Auditorium, 46-3002

Title : An Integrated Approach for Caenorhabditis elegans Nervous System Simulation

Abstract : The Caenorhabditis elegans (C. elegans) connectome, with its relatively simple structure of approximately 300 neurons and several thousand synaptic connections, presents as the most immediately tractable target for whole-nervous system functional simulation. Despite this potential, research has predominantly focused on isolated neural circuits due to technical limitations such as the field of view of existing microscopes, activity indicator considerations, and the complexity of mapping interneuron connections. Existing whole-brain models of C. elegans often rely on assumptions due to inadequate biophysical data per neuron, limiting their accuracy and utility. We describe the development of a specialized lightsheet microscope capable of capturing isotropic high-resolution, functional activity across the entire worm during various behaviors, automated imaging by use of hybrid microfluidics, alongside novel neuron identification methods to precisely map neural identity, so as to generate a comprehensive dataset ideal for model training. Our goal is to create an accurate and interpretable whole-worm functional model of C. elegans, derived from real-world data under diverse behavioral conditions. The accuracy of the model will be validated by its ability to predict future neural activity based on initial states derived from actual worms, thereby offering a more accurate representation of the organism's neural dynamics. This effort not only advances our understanding of the C. elegans functional connectome but also sets a precedent for whole-brain modeling techniques applicable to broader neuroscientific studies.

Upcoming Events

Coglunch: gabor brody "how context shapes what symbols mean", 2024 picower lecture with hongkui zeng, phd, "understanding brain cell type diversity", scsb colloquium series: understanding and conquering pain [clifford woolf, m.b., b.ch., ph.d.].

School of Music

Madeline Yankell brings the bubbly Vesta to life in the Hancher premiere of Fierce

Vesta―named after the Roman goddess of the Earth―is one of the four principal characters in Fierce , a new opera that follows four young girls (also referred to as “muses”) as they prepare for the next chapter of their lives. The opera—making its Iowa premiere—reflects the collaborative spirit of Performing Arts At Iowa and will be co-produced by the School of Music, the Performing Arts Production Unit, and Hancher Auditorium. Vesta, played by Madeline Yankell, is the youngest of the muses. She is naive, bubbly, and sometimes she takes refuge from life in a fantasy world full of otters.   

Yankell is a graduate student in music education who recently defended her MA thesis on movement and choral singing. She has previously performed in La Traviata and Dialogues des Carmelites .   

“I’m so excited to perform at Hancher. It’s a dream come true,” Yankell beams, “I’ve had the opportunity to perform on the Hancher stage a few times but the fact that I get to sing a song about otters on this huge stage is just kind of nuts.”  

Yankell grew up on the east coast in Moorestown, New Jersey, before pursuing her BA with a focus in music teacher education from Case Western Reserve University in Ohio. After graduating, she moved to Massachusetts, where she spent a few years teaching high school choir.   

“I applied to a lot of different grad programs in places all over the country,” Yankell explains what drew her to the University of Iowa. “UI really has the perfect combination of research and performing arts funding. I get to participate in operas, choirs, and be part of the performing arts but I also get to do music education research.”   

Since Yankell has been at the university, she’s enjoyed the collaborative environment encouraged in the School of Music and across Performing Arts At Iowa.   

When she was exploring her grad school options, Yankell says, “I just happened upon the performing arts scene in Iowa City. The Iowa City community is really strong and so supportive of the arts. Also, the School of Music, Hancher, and the theatre and dance departments have been working well together to create more collaborative experiences for students. The students also really support each other here.”  

Yankell is currently in the last semester of her master’s so, when the opportunity to audition for Fierce came around, she jumped at it.   

The new opera was composed for Cincinnati Opera by Dr. William Menefield, a UI assistant professor of Jazz Studies, in collaboration with librettist Sheila Williams. It premiered there in 2022. For the Hancher debut, Menefield will be taking on the role of director.    

“I knew Dr. Menefield was the leader of the Black Pop Ensemble and they’re such a great group,” Yankell says. “I really wanted to work with him, and this opera is so different from anything I’ve ever done.”  

The characters of the four muses were created by Williams, based on the real life stories and personalities of a group of Cincinnatti -area high school girls she talked with in a yearlong series of heart-to-heart conversations. These rich conversations spanned topics such as parental expectations, the best lipstick color, ethnic identity, and college admissions anxiety.   

Yankell is excited to bring the bubbly character of Vesta to life on the Hancher stage.   

“What I really love about playing Vesta is that she’s got these layers of sadness and depth,” Yankell explains her role. “There’s a great juxtaposition between her bubbly exclamations about how magical otters are, and the issues she faces at home with her parents. She also gets to be brave and bold. Behind her silliness there is so much wisdom and strength.”   

As Yankell has been rehearsing for Fierce , she has also been writing her master’s thesis. She is passionate about music education and would like to return to teaching high school students after graduation—with aspirations towards teaching at the collegiate level in the future.   

Yankell notes “Something I’ve enjoyed about working with Dr. Menefield and the production team is that they’ve fostered an environment of growth. We’ll often stop to discuss acting methods or vocal technique, which is so important because, at the end of the day, we’re a learning community.”  

“And it’s just a fun project because we have Dr. Menefield there and he wrote it,” she adds. “There are days where he’ll say he was channeling something specific, like Beyonce. It’s not often you get to channel Beyonce while working on an opera.”