A Mixed Research Synthesis of Literature on Teaching Qualitative Research Methods
Bibliographic record
Abstract
This article surveys the literature from 1999 to 2013 on teaching qualitative research methods. One hundred thirteen articles fitted the inclusion criteria; 79 of these were by academics in the United States and Canada. Only 39 of the 113 were based on empirical research: from these, seven descriptive themes were distilled, of which the dominant ones are experiential learning and practice-based materials and workshops. The literature portrayed teaching qualitative research as providing experiential and practice-based learning opportunities for students that revealed its desirable pedagogical features. It further reported that when students engaged in learning experiences, they underwent paradigm shifts about qualitative research as well as personal transformations. Our study confirmed that there is a lack of a research-based approach to teaching qualitative methods and we recommend that more be done to contribute to its pedagogical culture particularly concerning methods used to evaluate instruction, innovative instructional methods, and approaches to assessment.
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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 | 0.134 | 0.247 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.031 | 0.031 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".