Tag: thematic analysis

  • How to Write the Methodology Chapter of a Nursing PhD Thesis: Design, Governance and Analysis in Eight Steps (2026)

    How to Write the Methodology Chapter of a Nursing PhD Thesis: Design, Governance and Analysis in Eight Steps (2026)

    The methodology chapter of a nursing PhD is where two different examiners meet: a methodologist who wants the design justified against the alternatives, and a clinical academic who wants to know how you got into the ward, who consented, and whether the NMC Code held. This guide sets out the chapter in eight steps, with the UK governance layer — HRA, IRAS, research passports, the NIHR route — that general methodology guides leave out. Research degree regulations differ by institution; check your own code of practice before acting on any step.

    Step 1: Name the paradigm and let it do real work

    Examiners have read a hundred paragraphs on pragmatism, constructivism and post-positivism that changed nothing downstream. Write the paradigm section only to the extent that it decides something. A realist evaluation of a ward-based intervention, a qualitative descriptive study of patient experience and a feasibility trial sit in different paradigms, and the sentence that matters is the one connecting the paradigm to the design you chose and the designs you rejected.

    Expected output: two to four paragraphs ending in a sentence of the form “Because the question asks how and why the intervention works for whom, a realist design was adopted rather than an experimental one.”

    Step 2: Choose the design the field recognises, and justify it against its nearest rival

    Nursing has a small set of doctoral designs that examiners recognise on sight, each with a canonical source you should cite by name.

    Design Doctoral use in nursing Anchor source
    Qualitative descriptive Patient and staff experience where interpretation beyond the data is not the aim Sandelowski (2000), Research in Nursing and Health
    Interpretative phenomenological analysis or hermeneutic phenomenology Lived experience of illness, caring, transition Smith, Flowers and Larkin; van Manen
    Grounded theory Processes: how nurses make decisions, how families adapt Charmaz (constructivist); Glaser and Strauss (classic)
    Complex intervention development and evaluation Developing or feasibility-testing a nursing intervention Skivington et al. (2021), MRC and NIHR framework, BMJ 374:n2061
    Realist evaluation What works for whom in what circumstances, in service change Pawson and Tilley (1997)
    Mixed methods Instrument development, implementation studies Creswell and Plano Clark

    The justification examiners read for is comparative: why qualitative descriptive rather than IPA, why a feasibility study rather than a definitive trial. The 2021 MRC and NIHR framework is worth citing precisely because it replaced the 2008 guidance most textbooks still describe; it frames complex intervention research around four phases — development or identification, feasibility, evaluation and implementation — with core elements that include context, programme theory and stakeholder engagement. A nursing doctorate typically occupies the first two phases, and saying so is a mark of methodological literacy.

    Expected output: a design statement, a rejected-alternatives paragraph, and a sentence locating the study in the MRC and NIHR framework if it involves an intervention.

    A short briefing on what a doctoral methodology chapter for qualitative research has to establish before the methods are described.

    Step 3: Write the governance section as a procedure, not a disclaimer

    This is the section that distinguishes a nursing methodology chapter from a generic one. In England the framework is published by the Health Research Authority, and its student research pages set the doctoral position plainly: doctoral “applicants are eligible to complete health and social care research, subject to relevant approvals being in place.” The HRA also states that students “should not normally take the role of chief investigator at any level of study,” but that “for PhD courses, the student may take the role of chief investigator if the supervisor and the sponsor agree.” Record which arrangement applied to you and why.

    Then set out the route you actually took, with dates.

    1. Is it research? The HRA decision tool and the student research toolkit, which students and supervisors must complete before an application can be submitted through the Integrated Research Application System (IRAS). Service evaluation and audit follow a different route and do not need REC review.
    2. Sponsor. Usually your university. Name the sponsor and the date of sponsorship confirmation.
    3. Ethics. NHS Research Ethics Committee review where participants are NHS patients, relatives, or identifiable data; university ethics committee for staff-only or non-NHS studies. Give the REC reference and date of favourable opinion.
    4. HRA Approval (England) or the equivalent Health and Care Research Wales approval, with the date.
    5. Site access. Capacity and capability confirmation from each NHS organisation, and your own access status. The HRA describes the research passport as “the mechanism for non-NHS staff to obtain an Honorary Research Contract or Letter of Access (LOA) when they propose to carry out research in the NHS.” A nurse employed by the trust where the study runs will not need one; a nurse now in a university post returning to a former ward usually will.
    6. Data protection. UK GDPR lawful basis (for a university, usually public task), the data protection impact assessment if one was required, and the retention period.

    Expected output: a governance table — approval, body, reference, date — followed by a paragraph on what the approvals required you to change in the design. That last paragraph is what examiners cannot get from the appendix.

    Ethics and NHS approval paperwork for a nursing doctoral study laid out beside a laptop
    Governance is a procedure with dates and references, and the chapter should show it as one.

    Step 4: Describe the setting and the sample as a clinician would recognise them

    Describe the setting in the terms a clinical examiner uses: the type of unit, the patient population, the staffing model, the shift pattern, and any service change during data collection — a ward move, a new electronic record, a winter pressures escalation. Naming them shows you understood the site as a nurse rather than a visitor.

    For sampling, name the strategy and its source (purposive, maximum variation, theoretical, consecutive) and give the inclusion and exclusion criteria exactly as approved. For sample size, cite the convention that fits your design rather than a number: information power for qualitative work, a power calculation for a quantitative study, the feasibility conventions for pilot studies. Our companion guide to sample size in postgraduate nursing research sets out those conventions with their sources; cite them and report the achieved sample against the planned one.

    Expected output: a setting paragraph, a sampling paragraph with criteria, a sample-size justification with a named source, and a recruitment flow — approached, declined, consented, withdrawn — as a figure or short table.

    Step 5: Recruitment and consent, including the parts that went wrong

    Nursing recruitment runs through gatekeepers — ward managers, clinical nurse specialists, research nurses — and the chapter should say who identified potential participants, who made first contact, and how you kept the approach from feeling like a request from a colleague that could not be refused. The NMC Code’s requirement to act in people’s best interests and obtain consent applies to a nurse-researcher exactly as it does to a nurse, and examiners from the profession will look for the point where you addressed the dual role.

    Consent should be described as a process, not a signature: the participant information sheet version, the time given to decide, the capacity assessment where relevant, and the arrangements for participants who became unwell during the study. Report withdrawals and the reasons.

    Expected output: a recruitment procedure in numbered steps with the gatekeeper role explicit, and a consent paragraph that names the dual-role problem and your response to it.

    Step 6: Data collection described so that it could be repeated

    For interviews: the topic guide and how it changed, the setting (a side room, a home visit, online), the recording device and transcription approach, and the average duration. For observation: the sampling of shifts and times, the position you took on the ward, and how patients and staff were informed. For surveys and instruments: the validated tool, its licence, the version used, and its reliability in your sample. For intervention studies: the TIDieR checklist items.

    Where an instrument is not validated in your population, say so. Where interviews were transcribed by a service or a tool, name it and state the confidentiality arrangement; our comparison of transcription tools for PhD interviews covers the ethics and data-protection questions that belong in this section.

    Expected output: one subsection per data source, each ending with what was actually collected — number of interviews, hours of observation, response rate.

    Step 7: Analysis, with the version of the method named

    Thematic analysis is the commonest analytic method in nursing theses, and the commonest examiner complaint is that the chapter cites Braun and Clarke’s 2006 paper and then describes something else. Braun and Clarke themselves, in Reflecting on Reflexive Thematic Analysis (Qualitative Research in Sport, Exercise and Health, 2019), revisit the unspoken assumptions of the 2006 paper and distinguish their reflexive approach from coding-reliability and codebook versions. Say which you used. If you claim reflexive thematic analysis, do not report inter-rater reliability; if you used a codebook approach with a second coder, say so and cite that tradition instead.

    For grounded theory, describe coding stages and theoretical sampling. For quantitative analysis, state the software and version, the tests, the handling of missing data and the significance threshold. In every case include a worked example — one theme built from codes with two extracts, or one variable from raw score to test result — because that is how an examiner judges whether the analysis was done as described.

    A nurse researcher coding interview transcripts for the analysis section of a doctoral methodology chapter
    The analysis section should show one theme or one variable worked through, not only a description of the method.

    Expected output: a named method with its version, the steps as you performed them, the software, and one worked example.

    Step 8: Rigour, reflexivity and the reporting checklist

    Use the rigour vocabulary that matches the paradigm — trustworthiness criteria for interpretive work, validity and reliability for quantitative — and report against a published checklist. For interview and focus-group studies the standard is COREQ, the 32-item checklist by Tong, Sainsbury and Craig (International Journal for Quality in Health Care, 2007). For qualitative work that does not fit COREQ, the Standards for Reporting Qualitative Research (O’Brien and colleagues, Academic Medicine, 2014) are the alternative. For quantitative designs, CONSORT for trials, STROBE for observational studies. Put the completed checklist in an appendix and cite it in the chapter.

    Reflexivity in nursing is not a paragraph about your feelings; it is an account of how your clinical identity shaped access, questions, interpretation and what participants chose to tell you. A ward sister interviewing junior nurses gets different data from a stranger; say which you were and what it changed.

    Expected output: a rigour subsection organised by the criteria you named, a reflexivity statement in the first person, and a checklist reference.

    A worked opening for the chapter

    A methodology chapter should open with the design decision, not the philosophy of science. A serviceable first paragraph for a qualitative descriptive study reads: “This chapter sets out the design and conduct of a qualitative descriptive study of how newly registered nurses experience the first year on an acute medical ward. It explains why a descriptive rather than interpretive design was chosen, the governance route through which access to two NHS trusts was obtained, the purposive sampling of fourteen participants, and the reflexive thematic analysis applied to the interview data. It closes with the measures taken to secure trustworthiness and a reflexive account of the researcher’s position as a former ward-based nurse.” Everything the examiner needs is there, and the chapter delivers it in the order announced.

    The chapter is also the part of the thesis your upgrade or confirmation review panel reads most closely, because at upgrade the design is all there is to examine. Write the governance and design sections early, then update them as the study unfolds; the dates and deviations make the final version credible. If your study includes a systematic review chapter, its methods belong in that chapter rather than here, and our guide to the PRISMA systematic review chapter covers that separately.

    Drafting the chapter alongside the study

    The methodology chapter is written twice: once for ethics and upgrade, when it is a plan, and once for submission, when it is a record. Between the two, recruitment slips, a site withdraws and the topic guide changes. The chapter that survives examination records all of it.

    Draft your nursing methodology chapter in Tesify: keep the protocol version, the governance table and the chapter in one workspace so that every deviation is logged where the examiner will read it. The design decisions, the clinical judgement and the reflexivity are yours alone; the tool keeps the record straight from IRAS submission to viva. There is a free plan, so you can start with the governance table today.

    Frequently asked questions

    Does a nursing PhD need NHS ethics approval?

    If participants are NHS patients, their relatives or carers, or identifiable NHS data, yes: NHS Research Ethics Committee review and, in England, HRA Approval. Studies involving only NHS staff as participants usually need HRA Approval but not REC review.

    Can a PhD student be the chief investigator?

    The HRA states that students should not normally be chief investigator at any level, but that for PhD courses the student may take the role if the supervisor and the sponsor agree. Say which arrangement applied and why.

    Do I need a research passport for my nursing PhD?

    Only if you are not employed by the NHS organisation where the research takes place and need access to patients, data or premises. The research passport is the HRA mechanism for obtaining an honorary research contract or letter of access.

    Which version of thematic analysis should I cite?

    The one you used. Braun and Clarke’s 2019 paper distinguishes reflexive thematic analysis from coding-reliability and codebook approaches; citing the 2006 paper while reporting inter-rater agreement mixes two incompatible traditions and examiners notice.

    Which reporting checklist applies to a qualitative nursing study?

    COREQ, the 32-item checklist for interviews and focus groups published by Tong, Sainsbury and Craig in 2007, is the standard. The Standards for Reporting Qualitative Research from 2014 cover designs that COREQ does not fit. Complete the checklist and put it in an appendix.

    Should I cite the MRC complex intervention framework?

    If your study develops or tests a nursing intervention, yes, and cite the 2021 update by Skivington and colleagues in the BMJ rather than the 2008 guidance. State which phase of the framework your doctoral study occupies, usually development or feasibility.

    How do I handle having worked on the ward where I recruited?

    Declare it, describe the dual-role problem for consent and data quality, and report what you did: an independent person for first contact, explicit statements that participation did not affect care or working relationships, and a reflexive account of how the relationship shaped the data.

    Where does the systematic review method go?

    In the review chapter itself, not in the methodology chapter. The methodology chapter covers the empirical study; a systematic review has its own methods, protocol registration and PRISMA reporting.

  • You Have 40 Interview Transcripts and No Findings Chapter: Writing Up Qualitative Management Research (2026)

    You Have 40 Interview Transcripts and No Findings Chapter: Writing Up Qualitative Management Research (2026)

    Forty interviews. Somewhere over 300,000 words of transcript. A coding frame that started with eight categories and now has ninety. A supervisor who asked what your findings are, and an answer that took four minutes and did not land. The findings chapter is due in three weeks and you cannot write the first sentence.

    This is not a discipline problem or a data problem. It is a structural one, and it has a specific cause: coded data is organised by category, and a chapter has to be organised by argument. Nothing in the coding process converts one into the other. That conversion is a separate piece of intellectual work, and almost nobody is taught to do it.

    Turn your transcripts into a findings chapter with Tesify

    What it costs to stay stuck here

    Postgraduate management researchers lose more time at this point than at any other stage, and the losses compound in ways that are worth naming plainly.

    The obvious cost is calendar. A findings chapter that should take six weeks takes five months, and on a one-year masters that is the difference between submitting and applying for an extension. On a funded doctoral project it eats into the write-up period you were relying on for the discussion chapter.

    The less obvious cost is analytical. A findings chapter written under time pressure defaults to the safest available structure — one section per theme, each opening “Participants reported that…” followed by two quotations and a paragraph of paraphrase. That chapter passes, usually. But it is also the chapter that produces the worst discussion chapter, because there is no argument in it for the discussion to develop. Examiners describe this as descriptive rather than analytical, and it is the single most common criticism of qualitative management dissertations.

    The third cost is that the work never becomes a paper. A theme-by-theme description has no thesis, and journals in management reject on exactly that basis.

    Why interview data resists becoming a chapter

    Three specific mechanisms, all fixable once you can see them.

    Codes multiply and never resolve. Coding is a divergent process — every pass generates distinctions. Nothing in the method forces convergence, so a frame grows until it has more categories than the chapter can carry. Ninety codes is not analysis; it is deferred analysis.

    Themes are nouns, and arguments are claims. “Trust”, “middle management resistance” and “communication breakdown” are topic labels. They can be listed but not argued. A chapter needs statements that could be wrong: trust in senior leadership was rebuilt through operational reliability rather than through communication, and middle managers were the mechanism. That sentence has a shape. A noun does not.

    The quotations start driving. Everyone has three or four transcripts where a participant said something unusually articulate. Those quotations begin to organise the chapter around themselves, and the analysis quietly becomes an anthology of your best interviews rather than an account of all forty.

    The four moves that produce a findings chapter

    Move 1: Collapse the coding frame to between four and seven themes

    Do this before writing anything. Take the ninety codes and group them by what they are evidence of, not by what they are about. Codes about email volume, meeting frequency and reporting lines may all be evidence of the same underlying finding about information asymmetry between head office and sites.

    Anything that cannot be grouped either belongs in a different chapter or is not a finding. Four to seven themes is the range a chapter can develop properly; ten becomes a list.

    Move 2: Write each theme as a claim, in one sentence

    For each surviving theme, write a single declarative sentence stating what you found — not what the topic was. Test each one against two questions: could a reasonable person disagree with it, and does your data actually support it across the sample rather than in three interviews?

    These sentences become your section headings, or at minimum the opening line of each section. Most researchers find that two of their themes fail this test and merge into a stronger third. That is the process working.

    Move 3: Sequence the claims into an argument

    Themes are not independent. Order them so that each prepares the next — condition first, then mechanism, then consequence, then the exception that qualifies it. Write a single paragraph at the top of the chapter that states all four claims in order. If that paragraph reads as a coherent account, your chapter has a spine. If it reads as a list, the sequencing is not done yet.

    This paragraph is also the answer to the question your supervisor asked, and the answer you will need in a viva.

    Move 4: Build each section on evidence, not illustration

    Within each section, follow the same shape: state the claim, establish its distribution across the sample, present evidence, interpret it, and mark the boundary.

    Distribution matters more in management research than students expect. “Fourteen of the twenty operational managers described this, while none of the six head-office participants did” is a finding with structure. “Participants reported…” conceals whether you mean three people or thirty-eight. You are not counting to make the work quantitative; you are being precise about your own evidence, and examiners read that as confidence.

    Quotations should be doing evidential work rather than decorating a point you have already made in your own words. Two well-chosen extracts beat six. And every section needs its boundary stated — the participants for whom this did not hold, and what that tells you.

    Keeping findings and discussion separate

    In management dissertations the two chapters bleed into each other constantly, and the fix is a clean division of labour. The findings chapter reports what is in your data, using your participants’ terms and your own analytic categories. The discussion chapter puts that into conversation with the literature, and that is where theory names appear.

    If you find yourself citing Weber in the findings chapter, you have started the discussion early — and you will then have nothing left to say in the chapter that is supposed to make the contribution. The structure that chapter needs is set out in the seven-move guide to writing a discussion chapter. The relationship also runs backwards: your findings should answer questions your literature review chapter actually raised, and if they do not, one of the two chapters needs revisiting.

    Where the tooling actually helps

    Analysis software does the part it is good at and no more. Coding, retrieval and querying across forty transcripts is genuinely faster in a dedicated tool, and the options — including a free one — are compared in the review of NVivo, ATLAS.ti and Taguette. What none of them does is tell you which four claims your chapter is making. Researchers who expect the software to produce themes end up with a tidier version of the same ninety-code problem.

    The same applies upstream. Transcription tools save real hours, but what your ethics approval permits is the binding constraint, as set out in the comparison of research transcription tools.

    How Tesify handles the part that is actually hard

    The gap is between having coded data and having a chapter, and it is a writing problem with an analytical core. Tesify is built for that gap.

    You bring your themes and your evidence into a workspace where the drafting and the sources sit together, so a claim in your chapter stays attached to the material it rests on rather than to your memory of it. You can work a theme into a claim sentence, test how it reads in sequence with the others, and see immediately where a section has interpretation but no evidence behind it. Structural feedback tells you when a section is describing rather than arguing — the criticism examiners make most often, and the one that is hardest to see in your own draft.

    What it will not do is decide what you found. That judgement is the contribution, it has to be yours, and any tool that offers to make it for you is offering you something an examiner will take apart in a viva. Tesify is built to keep the reasoning in your hands and take the friction out of everything around it.

    There is a free tier, so you can put a single chapter through it before deciding whether it earns a place in your workflow.

    Start your findings chapter with Tesify

    Frequently asked questions

    Is using an AI tool to write a findings chapter allowed?

    Policies differ by institution and you must check your own before using any tool. The line most UK universities draw is between support for your writing and substitution for your thinking. Structuring, drafting assistance and feedback are generally permitted where declared; presenting generated analysis as your own findings is not.

    Will an examiner be able to tell?

    An examiner will establish in a viva whether the analytical judgements are yours by asking why you grouped codes as you did and what you rejected. A chapter whose reasoning you cannot reconstruct out loud fails that test regardless of how it was produced, which is why the analysis has to remain your own work.

    Is my unpublished interview data safe in an AI tool?

    This is the right question to ask before uploading anything, particularly where participants consented under specific conditions or an organisation granted access commercially. The legal position and the five questions to put to any tool’s terms are set out in our article on putting unpublished thesis data into AI tools.

    How much does Tesify cost?

    There is a free tier that lets you work through a chapter before committing, with paid plans for sustained use across a full dissertation. Current pricing is on the Tesify site; check it at source rather than relying on figures quoted elsewhere.

    How many themes should a findings chapter have?

    Four to seven is the range most chapters can develop with adequate evidence and interpretation. Beyond that, sections become too short to argue anything and the chapter reads as a list. If you have ten, at least three are usually sub-themes of others.

    Should you count how many participants mentioned each theme?

    Report distribution without turning it into pseudo-quantification. Saying that a view was held by operational managers but not head-office participants is analytically useful. Presenting percentages from a purposive sample of forty implies a generalisability the design does not support.

    How long should a qualitative findings chapter be?

    Your programme’s word limit governs, and it varies widely. As a working proportion, the findings chapter is often the longest single chapter in a qualitative dissertation because quotations consume words. Check whether your regulations count extracts within the limit.

    What if your data does not answer your research question?

    This is common and usually recoverable by revising the question to match what the data addresses, in consultation with your supervisor. A dissertation that honestly reports what it found against a revised question is examined far better than one that forces unwilling data toward the original one.