ilog3 Education Qualitative Study Design
Goal
Design a rigorous qualitative education study and prepare data collection/analysis materials.
Inputs
- Research questions
- Phenomenon/context/participants
- Data sources: interviews, observation, documents, artifacts, classroom discourse, AI feedback texts
- Method preference if known
Workflow
- Select qualitative tradition: case study, phenomenology, narrative, grounded theory, content/discourse analysis.
- Define participants, sampling, recruitment, and ethics.
- Create interview/observation/document analysis protocols.
- Define coding plan: deductive, inductive, hybrid.
- Plan trustworthiness: triangulation, member checking, audit trail, reflexivity.
- Produce method and findings-section structure.
Tool Calls
Transcription:
Whisper: https://github.com/openai/whisper
Otter: https://otter.ai/
Qualitative analysis:
NVivo: https://lumivero.com/products/nvivo/
MAXQDA: https://www.maxqda.com/
ATLAS.ti: https://atlasti.com/
Taguette: https://www.taguette.org/
QualCoder: https://github.com/ccbogel/QualCoder
Output Format
| Component | Design Decision | Notes |
|---|
Include:
- Qualitative design rationale
- Participant plan
- Interview/observation guide
- Initial codebook
- Trustworthiness plan
- Findings chapter template
Quality Rules
- Do not force variables onto qualitative questions.
- Make researcher role and reflexivity explicit.
- Tie every data source to a research question.