Trustworthiness in Qualitative Research: Lincoln & Guba, Tracy

Why qualitative research needs its own criteria

Quantitative quality criteria assume a stable reality that you can measure repeatedly with the same result. Qualitative research works differently: an interview is a unique conversation, interpretation is part of the method, and samples are deliberately small and purposive. Applying Cronbach’s alpha or random sampling logic here makes little sense.

This does not mean anything goes. In *Naturalistic Inquiry* (1985), Yvonna Lincoln and Egon Guba proposed trustworthiness as the qualitative counterpart: the question of whether readers can trust that your findings are worth paying attention to. Their four criteria remain the most widely cited framework in dissertations, journal articles and ethics applications.

The four criteria of Lincoln and Guba

Each criterion has a quantitative “parallel”, which helps you explain it to examiners trained in quantitative methods.

Techniques in practice

Here is what the most important techniques mean in a dissertation-sized project:

• Triangulation: combine data sources (students and lecturers), methods (interviews and documents), investigators (two coders) or theories. Report where sources agree and where they diverge.
• Member checking: you share a summary of your interpretation with participants and ask whether it resonates. Use it carefully: participants may disagree for reasons unrelated to accuracy, and you should explain how you handled feedback.
• Peer debriefing: a fellow student or your supervisor questions your coding and interpretations at regular points.
• Negative case analysis: you actively look for cases that contradict your emerging themes and refine the themes accordingly.
• Thick description: you describe setting, participants and context in enough detail that readers can decide whether the findings transfer to their own situation.
• Audit trail: you document every step: recruitment, interview guide versions, transcription rules, codebook changes, analytic memos.
• Reflexivity: you reflect on how your background, assumptions and relationship to participants may shape the data and its interpretation, typically in a reflexive journal and a short positionality statement.

Tracy’s eight “big-tent” criteria (2010)

Sarah Tracy (2010) proposed eight criteria that apply across qualitative traditions, from ethnography to narrative research. They are broader than Lincoln and Guba and include ethics and the value of the study itself. Many supervisors welcome them because they make quality concrete.

Lincoln & Guba or Tracy: which should you use?

For most dissertations, Lincoln and Guba is the safe default: examiners know it, and the four criteria map neatly onto the structure of a methods chapter. Tracy fits well if your work is interpretive or ethnographic, if ethics plays a central role, or if your department encourages a broader view of quality. You can also combine them: use Lincoln and Guba for the procedures and refer to Tracy’s “meaningful coherence” and “sincerity” in your reflection.

Some approaches bring their own criteria. Reflexive thematic analysis, for instance, has its own quality checklist and discourages inter-coder agreement as a measure of quality, while qualitative content analysis often reports agreement between coders. Make sure your criteria fit your analysis method.

Writing it up: a structure for your methods chapter

Give trustworthiness its own subsection, usually after the description of your analysis. A clear structure:

• Name the framework and cite it (e.g. Lincoln & Guba, 1985).
• For each criterion, one short paragraph: what you did, when, and with what result.
• Point to evidence in the appendix: interview guide, codebook, excerpts of the audit trail.
• Discuss limitations honestly, e.g. that member checking was not possible for all participants.

Common mistakes

These problems appear in many student projects:

• Listing techniques without showing they were applied (“member checking was used”). Say how, with whom and what changed.
• Mixing frameworks inconsistently, e.g. claiming “validity” for interviews and “credibility” for the same thing two pages later.
• Treating saturation as a quality criterion in itself without explaining how you assessed it.
• Reporting inter-coder agreement in an approach that rejects it, without justification.
• No reflexivity at all, especially when you study your own workplace, course or community.

Tools and institutional requirements

Our quality criteria tool generates a checklist for your design, and at /codieren you can keep your codebook with definitions, anchor examples and coding rules, which is the backbone of a convincing audit trail. Whether your department prefers Lincoln and Guba, Tracy or another framework differs between institutions. Your university’s own guidelines take precedence; upload them to Professor Digital and everything is tailored to them.