Practical, answer-first guides for PhD students and researchers — each grounded in a published, peer-reviewed framework. Click any article to read it in full.
A fourth research logic has been published for the age of AI — coding as a dialogue between human theory and machine discovery — and a new paradigm for exploring what we do not yet know.
STA is a six-step process that turns qualitative data into a named conceptual model. This guide walks through every step with examples from a real published study.
Both are legitimate — but they answer different needs. If your examiners expect a theoretical contribution presented as a conceptual model, here is why a systematic, auditable process helps.
Saturation is about how fully you use your data, not how many people you interviewed. The PRICE model gives you a defensible answer for reviewers and examiners.
Perspectivation, Recapitulation, Integration, Crystallisation, Edification — how five analytical processes make saturation something you demonstrate, not assert.
Yes — if the AI is familiarised with your research context and guided at every step. The published process, including what to give the AI before it sees a single transcript.
Robust, reflective, resplendent, radical, relevant, righteous — how to instruct AI to produce keywords, codes and themes you can actually defend.
A step-by-step process for bringing generative AI into case study research while keeping the researcher in charge of design, boundaries and interpretation.