PSY1023 Chap.3 Designing a Qualitative Research Protocol
Designing a Qualitative Research Protocol
Week 3 moves from principles to planning. Once you know what you believe about reality and knowledge, and how ethics constrains research with people, the next step is to design a study that fits those commitments.
The unit frames research design as the framework that governs how data are collected and analysed, and it contrasts the relatively fixed menu of quantitative designs with the process-oriented, reflexive nature of qualitative ones.
The central tool is the qualitative research design waterfall.
Decisions start with the research problem, question, aim and rationale, then move through ontology, epistemology, paradigm and methodology, then methods, and finally analysis. Each level should be explainable by the one above it. If a group chooses interviews simply because they seem easy, and only later writes a question, the logic runs uphill and the design becomes hard to defend.
The waterfall also explains why the same topic can produce very different studies: two teams interested in student wellbeing might hold different assumptions about knowledge, and those assumptions push them toward different methods and different ways of making sense of what participants say.
Quality in qualitative research is judged differently from quantitative work.
The unit draws on Guba’s criteria, as summarised by Shenton, which replace internal validity, generalisability, reliability and objectivity with credibility, transferability, dependability and confirmability. It also tackles common myths: qualitative research is not about counting, it does not try to generalise, and it is neither less rigorous nor easier than quantitative research.
The two broad epistemologies matter here too, since a post-positivist team might report agreement between coders while a constructivist–interpretive team instead explains what each researcher brought to the analysis.
The week also introduces the research protocol, a complete plan of action written before data collection.
A protocol sets out the background, the design and its justification, sampling and recruitment, how data are gathered and analysed, the ethical issues, the schedule and resources, and the likely limitations.
In the tutorial your group forms, chooses one of the three project subtopics and begins the research proposal you present informally in Week 5. That proposal later feeds the method section of the Qualitative Results Report, so the habits you build this week carry directly into assessed writing.
Before any recruitment begins, the unit also asks teams to check whether their topic is already over-researched, whether the contribution justifies involving participants, and how informed consent will be obtained.
What this chapter covers
- 01
Research design as a framework for data collection and analysis
- 02
Quantitative versus qualitative designs
- 03
The qualitative research design waterfall
- 04
Alignment and validity in qualitative research
- 05
Guba’s trustworthiness criteria
- 06
Contents of a research protocol
Worked example · free
Turning a study idea into a waterfall outline
- 2Top tier: state the problem and aim together, such as little being known about how these parents experience canteen rules, with an aim to explore that experience.
- 1Second tier: name the stance, for instance a constructivist–interpretive view in which parents’ meanings are co-constructed with the interviewer.
- 2Third tier: choose methods that follow from the stance, such as one-to-one interviews with a small group of parents recruited through allergy support networks.
- 1Bottom tier: pick an analysis consistent with everything above, such as reflexive thematic analysis of the transcripts.
Key terms
- Research Design
- The overall framework for collecting and analysing data, reflecting which dimensions of the research process a study prioritises.
- Research Protocol
- A comprehensive plan of action for a study, covering background, design, sampling, data collection, analysis, ethics, resources and limitations.
- Design Waterfall
- The unit’s model of qualitative design in which the research problem shapes assumptions about knowledge, which shape methods, which shape analysis.
- Credibility
- The qualitative counterpart of internal validity, concerned with whether findings genuinely reflect participants’ experiences rather than the researcher’s expectations.
- Transferability
- The qualitative counterpart of generalisability, judged by readers deciding whether richly described findings apply to their own setting.
Designing a Qualitative Research Protocol FAQ
Why is qualitative design called process-oriented?
Qualitative designs can adjust methods and even research questions as a study unfolds, responding to what participants reveal. Quantitative designs tend to be chosen from a fixed set at the start and are built mainly to block threats to validity.
What does alignment mean in a qualitative study?
Alignment means methodology, sampling, data collection, analysis and conclusions all fit the research question. The unit treats this fit as the core of validity, alongside making sure the data reflect participants rather than the researcher’s hopes.
Should a qualitative report include interrater reliability?
Not for a constructivist–interpretive design. Interrater reliability belongs to post-positivist work that aims to minimise researcher influence; interpretive studies instead describe what the researcher brought to the analysis and how it shaped the findings.
How does a research protocol support open science?
Publishing a protocol shows in advance what a team planned to do, so others can check whether reported results followed that plan. It also reduces duplicated effort because other researchers can see which studies are already underway.
Assessment move
Draw the design waterfall from memory before every study session until you can label all four tiers and say what question each one answers. Then practise in both directions. Going down, start with a research aim and write the stance, method and analysis that follow from it. Going up, start with a method someone has chosen and ask whether any sensible question and stance could justify it.
The upward check is the one that catches weak designs. Next, make a two-column card for Guba’s criteria, quantitative term on the left and qualitative term on the right, and add one sentence on what each qualitative term asks of a researcher. Pair it with the four myths about qualitative research so you can correct a misconception in a single sentence.
For the protocol, rewrite its contents as questions your group must answer, such as who you will recruit and how consent will be obtained, and keep that list beside your proposal draft. In the tutorial, use the protocol questions to divide work fairly within your group and to agree who drafts which part of the proposal.
Finally, look ahead to the method section of the Qualitative Results Report and note which protocol decisions will reappear under design, participants, materials and procedure. Writing those links now, while the reasoning is fresh, saves you from rebuilding your reasoning weeks later when the report is due.
Working through Designing a Qualitative Research Protocol in PSY1023? Sia is AskSia’s AI Psychology tutor — ask any PSY1023 Designing a Qualitative Research Protocol question and get a clear, step-by-step explanation grounded in how PSY1023 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.
