Foundations & framing
Lessons 01 — 02L · 01
Foundations of Qualitative Data AnalysisWhat qualitative analysis is and where it belongs in a public-health series; the four research goals (exploration, description, comparison, testing); the five kinds of qualitative data; the R + Taguette toolchain and the loneliness capstone dataset.
Open module
L · 02
Research Questions, Theory & the LiteratureTranslating a substantive concern into a tractable qualitative question; positioning a study within theory; using the literature as an analytic interlocutor rather than a background section.
Open module
Design & data
Lessons 03 — 04L · 03
Sampling in Qualitative ResearchPurposive, theoretical, snowball, and quota sampling logics; saturation; sample-size justification; sampling strategies tied to the analytic question rather than statistical generalizability.
Open module
L · 04
Qualitative Data CollectionIn-depth, semi-structured, and focus-group interviewing; observation and field notes; eliciting talk about sensitive topics; rapport, reflexivity, and the politics of the interview encounter.
Open module
Coding & frameworks
Lessons 05 — 06L · 05
Finding Themes & Building CodebooksEight ways of spotting themes in text; inductive, deductive, and hybrid coding; codebook construction; inter-coder reliability and Cohen's kappa; resolving disagreement productively.
Open module
L · 06
Analysis Frameworks & Conceptual ModelsMoving from codes to themes to a model; matrices, taxonomies, typologies, and mental-model diagrams; choosing a framework that fits the data and the question.
Open module
Analytic approaches
Lessons 07 — 10L · 07
Comparing Variables & Grounded TheoryConstant comparison, theoretical sampling, axial and selective coding; classic Glaser/Strauss vs. constructivist Charmaz traditions; building theory from data without overreaching.
Open module
L · 08
Content AnalysisQuantitative and qualitative content analysis; manifest vs. latent content; word frequencies, keyness, and concordances; cross-walking content analysis to thematic and discourse work.
Open module
L · 09
Schema & Narrative AnalysisCognitive schemas and cultural models; how people story illness, recovery, and identity; narrative structure (orientation, complicating action, evaluation, resolution) as a unit of analysis.
Open module
L · 10
Discourse Analysis — Conversation & PerformanceConversation analysis, critical discourse analysis, and performative approaches; talk as social action; power, footing, and identity work inside the qualitative interview.
Open module
Advanced & synthesis
Lessons 11 — 12L · 11
Analytic Induction, QCA & Decision ModelsNegative-case analysis and analytic induction; qualitative comparative analysis (QCA) with crisp and fuzzy sets; ethnographic decision models for explaining why people do what they do.
Open module
L · 12
Computational Text Analysis, Cultural Domain Analysis & LLM-Assisted CodingTopic models, word embeddings, and cultural-domain methods (free lists, pile sorts); responsible use of large language models for assisted coding; auditing model output against a human codebook.
Open module