Five ways of doing qualitative analysis: Phenomenological psychology, grounded theory, discourse analysis, narrative research, and intuitive inquiry
Bibliographic record
Abstract
Introduction. Part 1. A Story of Qualitative Research in Psychology. From Innovative Practices to the Call for Methodology. The Establishment of Methodological Traditions. Contemporary Movement, Methodological Pluralism, and Challenges. Part 2. Five Approaches to Qualitative Data Analysis. The Teresa Texts: Thick Description of Living through Misfortune. F. J. Wertz, A Phenomenological Psychological Approach to Trauma and Resiliency. K. Charmaz, A Constructivist Grounded Theory Analysis of Losing and Regaining a Valued Self. L. McMullen, A Discursive Analysis of Teresa's Protocol: Enhancing Oneself, Diminishing Others. R. Josselson, Narrative Research: Constructing, Deconstructing, and Reconstructing Story. R. Anderson, Intuitive Inquiry: Exploring the Mirroring Discourse of Disease. Part 3. Pluralism, Participation, and Unity in Qualitative Research. Comparisons through Five Lenses. The Participant's Response. Ethics, Participant Involvement, and Analytic Methodology. Appendix: Gail's Texts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.107 | 0.111 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".