Dissertation Methodology Example: Chapter 3 Walkthrough
By Dr. David C., PhD in Biostatistics. Reviewed by Dr. Patricia N.. 2026-06-15.
Key takeaways
- Justify design with real constraints, not textbook preference
- Quantitative Chapter 3 must include an a priori power analysis with named software
- Define saturation operationally rather than asserting it
- Name where mixed-methods integration happens, or the design is two studies
- An alignment table of question, construct, data source, and analysis prevents revision cycles
The short answer
Chapter 3 answers seven questions in order: what design, why that design, who or what is the sample, how were they recruited, what instruments or protocols, how were data analyzed, and what protects validity and participants. Committees reject Chapter 3 drafts mainly for alignment failures, not for choosing the wrong method.
Quantitative methodology example (annotated)
Research Design. This study employed a quasi-experimental pretest-posttest comparison group design to evaluate the effect of a 12-week intervention on anxiety symptoms. A quasi-experimental design was selected because random assignment was not permissible within the partnering counseling center's intake protocol. [States design and immediately justifies it with a real constraint rather than a textbook preference.]
Participants and Sampling. The sample comprised 87 undergraduates recruited through counseling center intake between September 2025 and February 2026. An a priori power analysis using G*Power 3.1 indicated 82 participants were required to detect a medium effect (d = 0.50) at alpha = .05 with power = .80; the achieved sample exceeded this threshold. [Power analysis with named software, effect size, alpha, and power. Missing this is the single most common reason a quantitative Chapter 3 is returned.]
Instrumentation. Anxiety was measured with the GAD-7, a seven-item scale with reported internal consistency of alpha = .92 in college samples (Spitzer et al., 2006) and alpha = .89 in the present sample. [Reports both published and sample-specific reliability.]
Data Analysis. Hypothesis one was tested with ANCOVA, with posttest GAD-7 as the dependent variable, group as the fixed factor, and pretest score as covariate. Assumptions of normality, homogeneity of variance, and homogeneity of regression slopes were tested prior to analysis. [Names the test, the variables, and the assumption checks in the plan, not after the fact.]
Qualitative methodology example (annotated)
Research Design. This study used an interpretive phenomenological approach to understand how nurses experience unsafe practice conditions. Phenomenology was selected because the research question concerns lived meaning rather than frequency or causation. [Ties design to the wording of the research question, which is the alignment move committees look for.]
Participants. Thirty-one registered nurses across four hospital systems were purposively sampled for maximum variation in unit type and years of experience, with recruitment continuing until no new codes emerged across three consecutive interviews. [Defines saturation operationally instead of asserting it.]
Data Collection. Semi-structured interviews of 45 to 75 minutes followed a six-question protocol (Appendix B), audio recorded and transcribed verbatim. [Points to the protocol as an appendix, which committees expect.]
Data Analysis. Transcripts were analyzed in NVivo 14 using Braun and Clarke's six-phase thematic analysis. A second coder independently coded 20% of transcripts, yielding 87% agreement; disagreements were resolved through discussion. [Names the framework, the software, and an explicit credibility procedure.]
Trustworthiness. Credibility was supported through member checking with 11 participants, transferability through thick description, dependability through an audit trail, and confirmability through reflexive memos maintained throughout data collection.
Mixed methods methodology example (annotated)
Research Design. A sequential explanatory design was used, in which quantitative survey results informed the sampling and protocol for a subsequent qualitative phase. Integration occurred at two points: participant selection for phase two and joint display interpretation in Chapter 4. [Naming where integration happens is what distinguishes a real mixed-methods design from two studies stapled together.]
Priority and Timing. Quantitative data were given priority (QUAN to qual) with sequential timing, following Creswell and Plano Clark's notation.
The alignment table committees want
Build a four-column table: research question, variable or construct, data source, analysis. Every row must be complete, and every research question in Chapter 1 must appear. If a question has no analysis, the question or the design is wrong. If an analysis serves no question, delete it.
Put this table at the end of Chapter 3. In our experience it removes more revision cycles than any other single page in a dissertation.
Ethics and IRB section
State approval status and protocol number, informed consent procedure, how identifiers are separated from data, storage duration and method, and how vulnerable populations are protected. Write this section in past tense only after approval, and in future tense in the proposal.
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FAQ
How long is a dissertation methodology chapter?
Typically 3,000 to 6,000 words in a US five-chapter dissertation, which is 15 to 30 pages including the alignment table and instrument descriptions.
What tense should Chapter 3 use?
Future tense in the proposal, past tense in the final dissertation. Converting tense is one of the last edits before submission.
Do I need a power analysis in a qualitative study?
No. Qualitative studies justify sample size through saturation, information power, or design precedent instead.