qualitative psychology dissertation examples

Qualitative Psychology Dissertations Online

• Post author By coen_sharon
• Post date October 3, 2013

This post originally featured on the Media Psychology UK , the blog for our MSc Media Psychology course at the University of Salford.  

By  Jenna Condie

I’m often asked how to structure a qualitative dissertation and I find that seeing other dissertations can help to 1) recognise the structural similarities and writing conventions, and 2) recognise that all dissertations are slightly different and it’s perfectly ok to do your own thing too.  So I recently went on the hunt for some examples of qualitative psychology Masters theses to help  MSc Media Psychology  students in writing up their qualitative research.

I found a few qualitative psychology Masters theses online (see below) but PhD theses and undergraduate dissertations seem more available electronically (I’ve also included some examples of each below).  Perhaps there is gap for an online hub of Masters projects? If you know of one, I’d love to hear about it.

• Conroy, M. (2010)  A Qualitative Study of the Psychological Impact of Unemployment on Individuals ,  Dublin Institute of Technology .   Submitted for the award of Masters in Child, Family and Community Studies
• Heinze, I. (2011)  Making Sense of the Social Aspects of Business Failure,   The University of Edinburgh *, Submitted for the award of Master of Science in Psychological Research Methods
• Lyon, T. (2011)  Beyond the future: Fortune telling as constituted in the media,   The University of Edinburgh *, Submitted for the award of MSc in the History and Theory of Psychology

*Found via the University of Edinburgh’s search option for Psychology Masters thesis collection  here .

• Brown, P. (2005)  Life in dispersal: narratives of asylum, identity and community , Doctoral thesis,  University of Huddersfield  (Phil just happens to be my PhD supervisor!)
• Chernicoff, E. (2002)  Becoming Visible : A Qualitative Analysis of Female to Male Transsexuals’ Coming Out Experiences , PhD thesis,  Philadelphia College of Osteopathic Medicine
• Clements, A. (2012)  Commitment in students training for caring professions: a focus on student nurses’ experience of support , PhD thesis,  University of Bedfordshire  (a mixed methods example)
• Howarth, C. (2000)  “So, you’re from Brixton?”: Towards a social psychology of community .  PhD thesis,  The London School of Economics and Political Science (LSE) .

LSE Theses Online  and the Open University’s  Open Research Online  are both fab repositories. Registering for the British Library’s Electronic Thesis Service  EThoS  is also a must.

Undergraduate dissertations:

• Foskett, E. (2012)  A discourse analysis using feminist strands of thought to analyse advertisements,  Download from the MMU Psychology Dissertations Journal  here .
• Walker, S. (2012)  “Follow, follow?”: A thematic analysis of how geographical location, social intensity & masculinity are predictors for ‘casting’ nationality with football , Download from the MMU Psychology Dissertations Journal  here

Media Psychology:

Whilst searching, I also found a Masters dissertation on social media’s role in branding which applies cultivation theory…might be of interest to our MSc Media Psych students.

• North, N. (2011)  Social Media’s role in branding: A study of social media use and the cultivation of brand effect, trust and loyalty ,  The University of Texas at Austin,  Submitted for the award of Master of Arts

Quite a few of the dissertations uploaded to the MMU Psychology Dissertations Journal are also media related.  You can search the Journal  here .

Get Writing

It’s great to see how others have conquered the challenges of writing up but there does come a point where you need to stop looking at other people’s work and focus on writing your own work in your own way.  Good luck!

P.S. Don’t forget to adhere to your University’s specific guidance on writing up dissertations and theses too!

Thanks to @DrAClements, @ClareUytman, @ej_odwyer, @spatialsyndave, @drshroyer, @cyberandrew, @marcdonncadh, @paulbyrneuk, @DrSharronH, @GalvinMary, @VickiMcDermott for their retweets and suggestions which informed this post.

• Tags dissertation , writing

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Tips for a qualitative dissertation

Veronika Williams

17 October 2017

Tips for students

This blog is part of a series for Evidence-Based Health Care MSc students undertaking their dissertations.

Undertaking an MSc dissertation in Evidence-Based Health Care (EBHC) may be your first hands-on experience of doing qualitative research. I chatted to Dr. Veronika Williams, an experienced qualitative researcher, and tutor on the EBHC programme, to find out her top tips for producing a high-quality qualitative EBHC thesis.

1) Make the switch from a quantitative to a qualitative mindset

It’s not just about replacing numbers with words. Doing qualitative research requires you to adopt a different way of seeing and interpreting the world around you. Veronika asks her students to reflect on positivist and interpretivist approaches: If you come from a scientific or medical background, positivism is often the unacknowledged status quo. Be open to considering there are alternative ways to generate and understand knowledge.

2) Reflect on your role

Quantitative research strives to produce “clean” data unbiased by the context in which it was generated.  With qualitative methods, this is neither possible nor desirable.  Students should reflect on how their background and personal views shape the way they collect and analyse their data. This will not only add to the transparency of your work but will also help you interpret your findings.

3)  Don’t forget the theory

Qualitative researchers use theories as a lens through which they understand the world around them. Veronika suggests that students consider the theoretical underpinning to their own research at the earliest stages. You can read an article about why theories are useful in qualitative research  here.

4) Think about depth rather than breadth

Qualitative research is all about developing a deep and insightful understanding of the phenomenon/ concept you are studying. Be realistic about what you can achieve given the time constraints of an MSc.  Veronika suggests that collecting and analysing a smaller dataset well is preferable to producing a superficial, rushed analysis of a larger dataset.

5) Blur the boundaries between data collection, analysis and writing up

Veronika strongly recommends keeping a research diary or using memos to jot down your ideas as your research progresses. Not only do these add to your audit trail, these entries will help contribute to your first draft and the process of moving towards theoretical thinking. Qualitative researchers move back and forward between their dataset and manuscript as their ideas develop. This enriches their understanding and allows emerging theories to be explored.

6) Move beyond the descriptive

When analysing interviews, for example, it can be tempting to think that having coded your transcripts you are nearly there. This is not the case!  You need to move beyond the descriptive codes to conceptual themes and theoretical thinking in order to produce a high-quality thesis.  Veronika warns against falling into the pitfall of thinking writing up is, “Two interviews said this whilst three interviewees said that”.

7) It’s not just about the average experience

When analysing your data, consider the outliers or negative cases, for example, those that found the intervention unacceptable.  Although in the minority, these respondents will often provide more meaningful insight into the phenomenon or concept you are trying to study.

8) Bounce ideas

Veronika recommends sharing your emerging ideas and findings with someone else, maybe with a different background or perspective. This isn’t about getting to the “right answer” rather it offers you the chance to refine your thinking.  Be sure, though, to fully acknowledge their contribution in your thesis.

9) Be selective

In can be a challenge to meet the dissertation word limit.  It won’t be possible to present all the themes generated by your dataset so focus! Use quotes from across your dataset that best encapsulate the themes you are presenting.  Display additional data in the appendix.  For example, Veronika suggests illustrating how you moved from your coding framework to your themes.

10) Don’t panic!

There will be a stage during analysis and write up when it seems undoable.  Unlike quantitative researchers who begin analysis with a clear plan, qualitative research is more of a journey. Everything will fall into place by the end.  Be sure, though, to allow yourself enough time to make sense of the rich data qualitative research generates.

Related course:

Qualitative research methods.

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Home   >>   Blog   >>   Tips on writing a qualitative dissertation or thesis, from Braun & Clarke – Part 1

Tips on writing a qualitative dissertation or thesis, from Braun & Clarke – Part 1

Our advice here relates to many forms of qualitative research, and particularly to research involving the use of thematic analysis (TA). 

Based on our experience of supervising students over two decades, as well as our writing on qualitative methodologies, we discuss what we think constitutes good practice – and note some common problems to avoid. 

Our first tip is  always to check local requirements ! Check what is required in your university context with regard to the format and presentation of your dissertation/thesis; if our advice clashes with this, discuss it with your supervisor. Sometimes requirements are “rules”, and sometimes they’re more norms and conventions, and there’s room to do things differently.

Qualitative centric research writing

Why might our advice here clash with what your local context expects or requires? The simple answer is that there isn’t a widely agreed on  single  standard for reporting qualitative research. Broadly speaking, there are two styles of qualitative research reporting – let’s call these “add qualitative research and stir” and “qualitative centric”. The “add qualitative and stir” style reflects the default conventions for reporting  quantitative  research slightly tweaked for qualitative research. Some characteristics of this style of reporting include: 

• third-person/passive voice
• searching out and identifying a “gap” in the literature in the introduction
• methodological critique of existing research; 
• and, when it comes to reporting the analysis, separate “results” and “discussion” sections. 

This style of reporting is far more widely understood and accepted than the other. 

What we advocate for is a “qualitative centric” style of reporting – one that is more in line with the ethos and values of qualitative research. This style departs from quantitative norms of empirical research reporting, and is consequently less widely recognised and understood. 

This is why you might experience a clash between what we recommend as good practice and what is required in your local context. We experience this clash of reporting values all the time – we have been required by reviewers and editors on numerous occasions to turn our qualitative centric research papers into something more conventional, and our students have sometimes been required by examiners to turn their qualitative centric theses into something more conventional (e.g., by separating out an integrated “results and discussion” and including methodological critique in the introduction). 

We want to be open about the fact that there  can be  risks in a qualitative centric style of reporting! One of the aims of this blog post, and the  Twitter thread  on which it is based, is to increase understanding of qualitative centric reporting styles so that fewer qualitative researchers are required to rework their research report into something less reflective of the ethos of qualitative research. 

So, what are some of the features of a qualitative centric reporting style? Let’s work through a report section by section.

Introduction

Think of the opening section of your report not as a literature  review  but as an  introduction  – the introduction is highly likely to include discussion of relevant literature, but the goal of the introduction is not to review the literature and find a “gap”. Instead, your goal in this section is to provide a context and rationale for your research.

If you do discuss bodies of literature, try to avoid summarising study after study after study… instead overview and synthesise a body of literature (What questions have been asked? What, if any, assumptions have been made? What are some of the common themes across the literature?). Have the confidence to tell the reader something about the state of the literature from your perspective.

Theoretical consistency in your introduction 

If you embrace fully the ethos and values of qualitative research, you don’t just understand qualitative research as providing you with tools and techniques to generate and analyse data; you’re unlikely to be a committed positivist or (simple/pure) realist. So if you’re not a positivist or realist when conducting and reporting  your  own research, how should you handle reporting research in your introduction that  is  positivist/realist? We think it’s important to be theoretically consistent across  your  report! 

That means not being a positivist/realist in your introduction when discussing quantitative research, then shifting to being something else when reporting your research. It means you need to think carefully about how you present and frame the findings of quantitative research. As an example, don’t present results from other projects as statements of fact (e.g. by stating “gay men are more likely than straight men to experience poor body image”), but rather as what other research has reported e.g. by saying “several quantitative studies suggest that gay men are more likely than straight men to experience poor body image”. It’s a subtle but important difference. It shows the reader that you understand your theoretical approach, and that it doesn’t (necessarily) align with the philosophical assumptions underpinning the quantitative research. 

We would also advise against engaging in methodological critique based on the values and assumptions of quantitative research in an introduction (methodological critique consistent with the philosophical assumptions of your research may be appropriate).

Framing your research: inverted triangles or stacked boxes?

Ideally, your introduction will make an  argument for your research  and  frame it within relevant wider contexts . It will flow beautifully – the reader will always know why they are being told something and where they are being taken next. There will be no jumping around from one to another seemingly unrelated topic. 

To help with flow and structure, work out if your introduction is the classic “inverted triangle” (starts broad and gets increasingly more specific) or what we call the “stacking boxes” structure. With the latter, you have several different topics to discuss but they aren’t easily classifiable as broader or more specific, they are all roughly at the same level. Your task is to decide how to order or stack the boxes! This is a judgement call and you will often need to figure out what works best  as you write . We regularly advise our students to reorder their stack of boxes; we do the same with our own work. You can’t always know ahead of writing how things will flow. 

With a “stacking boxes” introduction, we strongly recommend having some signposting or an overview at the start of the introduction to help the reader understand what you will cover and where things are going. Try to have linking sentences between different topics or sections to signal transitions to the reader (we’ve been here, now we are going there…). 

Research questions/aims

Typically, we’d advise you to end the introduction with your research questions/aims*. Any question (or questions) and aims should make sense to the reader – they definitely should not come as a surprise! – in light of the context you have presented. You want the reader to almost expect and anticipate your research question; you want your research question to  make sense . 

*Though, in some instances, this  might  work best at the start, ahead of your box stack! In such cases, you should come back to it at the end or before the start of the methodology. This works within a qualitative-centric introduction because you are not building towards a great “reveal” of the “gap” you have identified. 

Make sure you formulate your research question in a way that is consistent with the ethos and values of qualitative research. Don’t frame your research question(s) as hypotheses or, indeed, discuss what you expect to find. A common error is to formulate a research question in terms of the impact or effect of X on Y – which is essentially a poorly-disguised quantitative hypothesis! Our book  Successful Qualitative Research  provides a detailed discussion of formulating research questions for qualitative research. If you’re using TA, we have recently published a paper  Conceptual and Design Thinking for Thematic Analysis  t hat includes guidance on appropriate research questions for reflective TA – the approach to TA that we developed and first wrote about in  2006 .

Circling back to the title 

Let us circle around to thesis/dissertation  titles  here too – qualitative research is nothing if not recursive! Double check your title to make sure it isn’t implicitly quantitatively framed either. You really don’t want the reader to read your title and the introduction and be expecting a quantitative study when they get to your research questions! Ideally a good title tells the reader something about the topic, the methodological approach and perhaps also a key message from the analysis. Short, evocative quotations from participants can make great titles. Here’s an example from a project on  gay fathers .

Read Part 2 of this blog.

Victoria Clarke and Virginia Braun’s forthcoming book is  Thematic Analysis: A Practical Guide . They have websites on  thematic analysis  and the  story completion method . You can find them both on  Twitter  –  @drvicclarke  and  @ginnybraun  – where they tweet regularly about qualitative research.

More from edpsy:

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About Victoria Clarke

Victoria is an Associate Professor in Qualitative and Critical Psychology at the University of the West of England, Bristol, UK. You can find her on Twitter - @drvicclarke - regularly tweeting about qualitative research.

View all posts by Victoria Clarke

About Virginia Braun

Virginia is a Professor in Psychology at The University of Auckland, Aotearoa New Zealand. You can find her on Twitter - @ginnybraun – (re)tweeting about qualitative research and other issues.

View all posts by Virginia Braun

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Dissertations and research projects

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Developing a theoretical framework

Reflecting on your position, extended literature reviews, presenting qualitative data.

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What is a theoretical framework?

Developing a theoretical framework for your dissertation is one of the key elements of a qualitative research project. Through writing your literature review, you are likely to have identified either a problem that need ‘fixing’ or a gap that your research may begin to fill.

The theoretical framework is your toolbox . In the toolbox are your handy tools: a set of theories, concepts, ideas and hypotheses that you will use to build a solution to the research problem or gap you have identified.

The methodology is the instruction manual: the procedure and steps you have taken, using your chosen tools, to tackle the research problem.

Why do I need a theoretical framework?

Developing a theoretical framework shows that you have thought critically about the different ways to approach your topic, and that you have made a well-reasoned and evidenced decision about which approach will work best. theoretical frameworks are also necessary for solving complex problems or issues from the literature, showing that you have the skills to think creatively and improvise to answer your research questions. they also allow researchers to establish new theories and approaches, that future research may go on to develop., how do i create a theoretical framework for my dissertation.

First, select your tools. You are likely to need a variety of tools in qualitative research – different theories, models or concepts – to help you tackle different parts of your research question.  

When deciding what tools would be best for the job of answering your research questions or problem, explore what existing research in your area has used. You may find that there is a ‘standard toolbox’ for qualitative research in your field that you can borrow from or apply to your own research.

You will need to justify why your chosen tools are best for the job of answering your research questions, at what stage they are most relevant, and how they relate to each other. Some theories or models will neatly fit together and appear in the toolboxes of other researchers. However, you may wish to incorporate a model or idea that is not typical for your research area – the ‘odd one out’ in your toolbox. If this is the case, make sure you justify and account for why it is useful to you, and look for ways that it can be used in partnership with the other tools you are using.

You should also be honest about limitations, or where you need to improvise (for example, if the ‘right’ tool or approach doesn’t exist in your area).

This video from the Skills Centre includes an overview and example of how you might create a theoretical framework for your dissertation:

How do I choose the 'right' approach?

When designing your framework and choosing what to include, it can often be difficult to know if you’ve chosen the ‘right’ approach for your research questions. One way to check this is to look for consistency between your objectives, the literature in your framework, and your overall ethos for the research. This means ensuring that the literature you have used not only contributes to answering your research objectives, but that you also use theories and models that are true to your beliefs as a researcher.

Reflecting on your values and your overall ambition for the project can be a helpful step in making these decisions, as it can help you to fully connect your methodology and methods to your research aims.

Should I reflect on my position as a researcher?

If you feel your position as a researcher has influenced your choice of methods or procedure in any way, the methodology is a good place to reflect on this.  Positionality  acknowledges that no researcher is entirely objective: we are all, to some extent, influenced by prior learning, experiences, knowledge, and personal biases. This is particularly true in qualitative research or practice-based research, where the student is acting as a researcher in their own workplace, where they are otherwise considered a practitioner/professional. It's also important to reflect on your positionality if you belong to the same community as your participants where this is the grounds for their involvement in the research (ie. you are a mature student interviewing other mature learners about their experences in higher education). 

The following questions can help you to reflect on your positionality and gauge whether this is an important section to include in your dissertation (for some people, this section isn’t necessary or relevant):

• How might my personal history influence how I approach the topic?
• How am I positioned in relation to this knowledge? Am I being influenced by prior learning or knowledge from outside of this course?
• How does my gender/social class/ ethnicity/ culture influence my positioning in relation to this topic?
• Do I share any attributes with my participants? Are we part of a s hared community? How might this have influenced our relationship and my role in interviews/observations?
• Am I invested in the outcomes on a personal level? Who is this research for and who will feel the benefits?

One option for qualitative projects is to write an extended literature review. This type of project does not require you to collect any new data. Instead, you should focus on synthesising a broad range of literature to offer a new perspective on a research problem or question.  

The main difference between an extended literature review and a dissertation where primary data is collected, is in the presentation of the methodology, results and discussion sections. This is because extended literature reviews do not actively involve participants or primary data collection, so there is no need to outline a procedure for data collection (the methodology) or to present and interpret ‘data’ (in the form of interview transcripts, numerical data, observations etc.) You will have much more freedom to decide which sections of the dissertation should be combined, and whether new chapters or sections should be added.

Here is an overview of a common structure for an extended literature review:

Introduction

• Provide background information and context to set the ‘backdrop’ for your project.
• Explain the value and relevance of your research in this context. Outline what do you hope to contribute with your dissertation.
• Clarify a specific area of focus.
• Introduce your research aims (or problem) and objectives.

Literature review

You will need to write a short, overview literature review to introduce the main theories, concepts and key research areas that you will explore in your dissertation. This set of texts – which may be theoretical, research-based, practice-based or policies – form your theoretical framework. In other words, by bringing these texts together in the literature review, you are creating a lens that you can then apply to more focused examples or scenarios in your discussion chapters.

Methodology

As you will not be collecting primary data, your methodology will be quite different from a typical dissertation. You will need to set out the process and procedure you used to find and narrow down your literature. This is also known as a search strategy.

Including your search strategy

A search strategy explains how you have narrowed down your literature to identify key studies and areas of focus. This often takes the form of a search strategy table, included as an appendix at the end of the dissertation. If included, this section takes the place of the traditional 'methodology' section.

If you choose to include a search strategy table, you should also give an overview of your reading process in the main body of the dissertation.  Think of this as a chronology of the practical steps you took and your justification for doing so at each stage, such as:

• Your key terms, alternatives and synonyms, and any terms that you chose to exclude.
• Your choice and combination of databases;
• Your inclusion/exclusion criteria, when they were applied and why. This includes filters such as language of publication, date, and country of origin;
• You should also explain which terms you combined to form search phrases and your use of Boolean searching (AND, OR, NOT);
• Your use of citation searching (selecting articles from the bibliography of a chosen journal article to further your search).
• Your use of any search models, such as PICO and SPIDER to help shape your approach.
• Search strategy template A simple template for recording your literature searching. This can be included as an appendix to show your search strategy.

The discussion section of an extended literature review is the most flexible in terms of structure. Think of this section as a series of short case studies or ‘windows’ on your research. In this section you will apply the theoretical framework you formed in the literature review – a combination of theories, models and ideas that explain your approach to the topic – to a series of different examples and scenarios. These are usually presented as separate discussion ‘chapters’ in the dissertation, in an order that you feel best fits your argument.

Think about an order for these discussion sections or chapters that helps to tell the story of your research. One common approach is to structure these sections by common themes or concepts that help to draw your sources together. You might also opt for a chronological structure if your dissertation aims to show change or development over time. Another option is to deliberately show where there is a lack of chronology or narrative across your case studies, by ordering them in a fragmentary order! You will be able to reflect upon the structure of these chapters elsewhere in the dissertation, explaining and defending your decision in the methodology and conclusion.

A summary of your key findings – what you have concluded from your research, and how far you have been able to successfully answer your research questions.

• Recommendations – for improvements to your own study, for future research in the area, and for your field more widely.
• Emphasise your contributions to knowledge and what you have achieved.

Alternative structure

Depending on your research aims, and whether you are working with a case-study type approach (where each section of the dissertation considers a different example or concept through the lens established in your literature review), you might opt for one of the following structures:

Splitting the literature review across different chapters:

This structure allows you to pull apart the traditional literature review, introducing it little by little with each of your themed chapters. This approach works well for dissertations that attempt to show change or difference over time, as the relevant literature for that section or period can be introduced gradually to the reader.

Whichever structure you opt for, remember to explain and justify your approach. A marker will be interested in why you decided on your chosen structure, what it allows you to achieve/brings to the project and what alternatives you considered and rejected in the planning process. Here are some example sentence starters:

In qualitative studies, your results are often presented alongside the discussion, as it is difficult to include this data in a meaningful way without explanation and interpretation. In the dsicussion section, aim to structure your work thematically, moving through the key concepts or ideas that have emerged from your qualitative data. Use extracts from your data collection - interviews, focus groups, observations - to illustrate where these themes are most prominent, and refer back to the sources from your literature review to help draw conclusions. 

Here's an example of how your data could be presented in paragraph format in this section:

Example from  'Reporting and discussing your findings ', Monash University .

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Home > School, College, or Department > CLAS > Psychology > Dissertations and Theses

Psychology Dissertations and Theses

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Theses/Dissertations from 2021 2021

The Longitudinal Effects of a Family and Sleep Supportive Intervention on Service Member Anger and Resilience , Shalene Joyce Allen

Drug Conviction and Employment Restriction: Experiences of Employees with Drug-Related Criminal Histories , Liana Bernard

Sustaining Boys' Motivation Over the Transition to Middle School: Can Interpersonal Resources Protect Boys from Engagement Declines Across Sixth Grade? , Brandy Anne Brennan

Returning to Rejection: Outcomes and Boundary Conditions of Mental Illness Stereotypes , Stefanie Fox

Guarding Against Strain: The Moderating Role of Nonwork Experiences in the Relationship Between Work-Related Hypervigilance and Strain in Correctional Officers , Samantha Getzen

Anti-Muslim Bias: Investigating Individual Differences, Threat Perceptions, and Emotions in Islamophobic Policy Support , Aeleah M. Granger

Black Children's Development of Self-Regulation within Stressful Contexts of Parenting: Investigating Potential Buffering Effects of a Kindergarten Social-Emotional Learning Program , Eli Labinger

"Like I Was an Actual Researcher": Participation and Identity Trajectories of Underrepresented Minority and First-Generation STEM Students in Research Training Communities of Practice , Jennifer Lynn Lindwall

Claiming Miscommunication to Justify Rape: The Role of Liking the Perpetrator , Alyssa Marie Glace Maryn

An "I" for an "I" : A Systematic Review and Meta-Analysis of Instigated and Reciprocal Incivility , Lauren Sarah Park

Parenting and Children's Academic Coping as a Dynamic System: Feedforward, Feedback, and Mediators of Changes Across the School Year , Kristen Elizabeth Raine

Does Experiencing Spousal Support and Strain Impact the Quality of Family-Based Support that Supervisors Provide to Employees? , Joseph Alvin Sherwood

"B-ing Flexible" : Examining Creativity in Bisexual Employees , Megan Jane Snoeyink

Exploring the Relationships Between Community Experiences and Well-Being among Youth Experiencing Homelessness , Katricia Stewart

Mothers' Drinking Motives , Sheila Kathleen Umemoto

An Examination of Nurses' Schedule Characteristics, Recovery from Work, and Well-Being , Sarah Elizabeth Van Dyck

Preventing Sexual Violence Through Understanding Perceptions of Sexual Offenders , Judith G. Zatkin

Theses/Dissertations from 2020 2020

Examining Employee Needs at Work and Home: a Self-Determination Theory Perspective , Dana Anuhea Auten

Trajectories, Time Windows, and Alternative Pathways of Engagement: Motivational Resources Underlying Academic Development during Middle School , Heather Anne Brule

Examining Mindfulness Training for Teachers: Theoretical and Methodological Extensions of Intervention Effectiveness , Jaiya Rae Choles

Detecting Reinforcement Patterns in the Stream of Naturalistic Observations of Social Interactions , James Lamar DeLaney 3rd

An Investigation of the Temporal Relationship Between Agitation and Sleep Disturbances , Emily Catherine Denning

Peers' Academic Coping as a Resource for Academic Engagement and Motivational Resilience in the First Year of Middle School , Daniel Lee Grimes

Home Resources Supporting Workplace Resources: an Investigation of Moderated Intervention Effects From the Study for Employment Retention of Veterans (SERVe) , Sarah Nielsen Haverly

"It Puts a Face to All the Knowledge We've Gotten" : a Program of Research on Intimate Partner Violence Surrogate Impact Panels , Kate Louise Sackett Kerrigan

A Daily Examination of Anger and Alcohol Use Among Post-9/11 Veterans , James David Lee

An Examination of Daily Family-Supportive Supervisor Behaviors, Perceived Supervisor Responsiveness and Job Satisfaction , Luke Daniel Mahoney

Nurse Can't Even: the Immediate Impact of Incivility on Affect, Well-being, and Behavior , Katharine Lucille McMahon

Perceptions of Police Use of Force at the Intersection of Race and Pregnancy , Emma Elizabeth Lee Money

The Impact of Paternal Caregivers for Youth Who Commit Sexual Offenses , Miranda Hope Sitney

Human Energy in the Workplace: an Investigation of Daily Energy Management Strategies, Job Stressors and Employee Outcomes , Morgan Rose Taylor

Individual and Community Supports that Impact Community Inclusion and Recovery for Individuals with Serious Mental Illnesses , Rachel Elizabeth Terry

Investigating Sexual Fantasy and Sexual Behavior in Adolescent Offenders , Hayley Lauren Tews

Theses/Dissertations from 2019 2019

Integrating Work Ability into the Organizational Science Literature: Advancing Theory and Developing the Nomological Network , Grant Brady

Family Linked Workplace Resources and Contextual Factors as Important Predictors of Job and Individual Well-being for Employees and Families , Jacquelyn Marie Brady

The Role of Teacher Autonomy Support Across the Transition to Middle School: its Components, Reach, and Developmental Effects , Julia Sara Dancis

Does X Mark the Applicant? Assessing Reactions to Gender Non-Binary Job Seekers , Kelly Mason Hamilton

Urbanicity as a Moderator of the Relationship Between Stigma and Well-being Outcomes for Individuals with Serious Mental Illnesses , Emily Leickly

The Relationship Between Undergraduate Research Training Programs and Motivational Resources for Underrepresented Minority Students in STEM: Program Participation, Self-efficacy, a Sense of Belonging, and Academic Performance , Jennifer Lindwall

Perceived Partner Responsiveness, Sleep and Pain: a Dyadic Study of Military-Connected Couples , AnnaMarie Sophia O'Neill

Recruitment Marketing: How Do Wellness and Work-Life Benefits Influence Employer Image Perceptions, Organizational Attraction, and Job Pursuit Intentions? , Amy Christine Pytlovany

The Combined Effects of Parent and Teacher Involvement on the Development of Adolescents' Academic Engagement , Nicolette Paige Rickert

Examining the Development and Classroom Dynamics of Student Disaffection Over Multiple Time Periods: Short-term Episodes and Long-term Trajectories , Emily Anne Saxton

Drinking on a Work Night: a Comparison of Day and Person-Level Associations with Workplace Outcomes , Brittnie Renae Shepherd

Development and Validation of the Workplace Mental Illness Stigma Scale (W-MISS) , Nicholas Anthony Smith

Relational Thriving in Context: Examining the Roles of Gratitude, Affectionate Touch, and Positive Affective Variability in Health and Well-Being , Alicia Rochelle Starkey

Preventing Child Sexual Abuse and Juvenile Offending Through Parental Monitoring , Kelly E. Stewart

"To Call or Not to Call?" The Impact of Supervisor Training on Call Center Employee Attitudes and Well-Being , Whitney Elan Schneider Vogel

Theses/Dissertations from 2018 2018

The Impact of Leader Race and Gender on Perceptions of Organizations in Response to Corporate Error , Nicolas Derek Brown

Impacts of Mindfulness Training on Mechanisms Underlying Stress Reduction in Teachers: Results from a Randomized Controlled Trial , Jaiya Rae Choles

Student Motivation Profiles as a Diagnostic Tool to Help Teachers Provide Targeted Support , Cailin Tricia Currie

Insufficient Effort Responding on Mturk Surveys: Evidence-Based Quality Control for Organizational Research , Lee Cyr

Affirmative Consent Endorsement and Peer Norms Supporting Sexual Violence Among Vulnerable Students on College Campuses , Alyssa Marie Glace

Gendered Partner-Ideals, Relationship Satisfaction, and Intimate Partner Violence , Sylvia Marie Ferguson Kidder

Organizational Calling and Safety: the Role of Workload and Supervisor Support , Layla Rhiannon Mansfield

Bystander Intervention to Prevent Campus Sexual Violence: the Role of Sense of Community, Peer Norms, and Administrative Responding , Erin Christine McConnell

Benevolent Sexism and Racial Stereotypes: Targets, Functions, and Consequences , Jean Marie McMahon

Perceived Overqualification and Withdrawal Among Seasonal Workers: Would Work Motivation Make a Difference? , Anthony Duy Nguyen

Differential Well-Being in Response to Incivility and Surface Acting among Nurses as a Function of Race , Lauren Sarah Park

Financial Strain and the Work-Home Interface: a Test of the Work-Home Resources Model from the Study for Employment Retention of Veterans (SERVe) , MacKenna Laine Perry

Neighbor Perceptions of Psychiatric Supportive Housing : the Role of Knowledge, Attitudes, and Behaviors , Amy Leigh Shearer

The Role of Caregiver Disruption in the Development of Juvenile Sexual Offenders , Miranda Sitney

Intrapersonal and Social-Contextual Factors Related to Psychological Well-being among Youth Experiencing Homelessness , Katricia Stewart

Age-based Differences in the Usefulness of Resources: a Multi-Study Investigation of Work and Well-being Outcomes , Lale Muazzez Yaldiz

Pathways to Kindergarten Growth: Synthesizing Theories of the Kindergarten Transition to Support Children's Development , Rita Yelverton

Theses/Dissertations from 2017 2017

The Force of Manhood: the Consequences of Masculinity Threat on Police Officer Use of Force , Aurelia Terese Alston

Supervisor Mindfulness and Its Association with Leader-Member Exchange , Dana Anuhea Auten

Combat Experiences, Iso-strain, and Sleep Quality Affect Symptoms of Posttraumatic Stress among Working Post-9/11 Veterans , Gilbert Patrick Brady Jr.

A Study of Shame-proneness, Drinking Behaviors, and Workplace Role Ambiguity Among a Sample of Student Workers , Sarah Nielsen Haverly

Intraminority Support For and Participation In Race-Based Collective Action Movements: an Intersectional Perspective , Jaboa Shawntaé Lake

Patients and Nurses and Doctors Oh My!: Nurse Retention from a Multi-Foci Aggression Perspective , Kevin Oliver Novak

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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

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• Methodology
• What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on 4 April 2022 by Pritha Bhandari . Revised on 30 January 2023.

Qualitative research involves collecting and analysing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analysing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, and history.

• How does social media shape body image in teenagers?
• How do children and adults interpret healthy eating in the UK?
• What factors influence employee retention in a large organisation?
• How is anxiety experienced around the world?
• How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography, action research, phenomenological research, and narrative research. They share some similarities, but emphasise different aims and perspectives.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

• Observations: recording what you have seen, heard, or encountered in detailed field notes.
• Interviews:  personally asking people questions in one-on-one conversations.
• Focus groups: asking questions and generating discussion among a group of people.
• Surveys : distributing questionnaires with open-ended questions.
• Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
• You take field notes with observations and reflect on your own experiences of the company culture.
• You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
• You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves ‘instruments’ in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analysing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

• Prepare and organise your data. This may mean transcribing interviews or typing up fieldnotes.
• Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
• Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorise your data.
• Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
• Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analysing qualitative data. Although these methods share similar processes, they emphasise different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

• Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

• Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

• Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

• Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

Researchers must consider practical and theoretical limitations in analysing and interpreting their data. Qualitative research suffers from:

• Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

• Subjectivity

Due to the researcher’s primary role in analysing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

• Limited generalisability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalisable conclusions because the data may be biased and unrepresentative of the wider population .

• Labour-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

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.

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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Bhandari, P. (2023, January 30). What Is Qualitative Research? | Methods & Examples. Scribbr. Retrieved 14 May 2024, from https://www.scribbr.co.uk/research-methods/introduction-to-qualitative-research/

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Pritha Bhandari

Birmingham City University

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Your Psychology Dissertation

Harrison, Emily and Rentzelas, Panagiotis (2020) Your Psychology Dissertation. Sage, London. ISBN 9781526497284

Your Psychology Dissertation has been specifically created to guide your students through their dissertation helping them to feel confident at every stage of their independent psychology research projects.

This book will take them through the entire process of designing, conducting and then writing up their research, providing invaluable tips and support along the way, as well as answering all those frequently asked questions. Whether they need to know more about quantitative or qualitative research methodology, need help in choosing a topic, and/or are struggling to review and understand the literature, this book covers it all. Your Psychology Dissertation is suitable for all psychology students looking for dissertation success.

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