education-qualitative-study-design

# 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 1. Select qualitative tradition: case study, phenomenology, narrative, grounded theory, content/discourse analysis. 2. Define participants, sampling, recruitment, and ethics. 3. Create interview/observation/document analysis protocols. 4. Define coding plan: deductive, inductive, hybrid. 5. Plan trustworthiness: triangulation, member checking, audit trail, reflexivity. 6. Produce method and findings-section structure. ## Tool Calls Transcription: ```text Whisper: https://github.com/openai/whisper Otter: https://otter.ai/ ``` Qualitative analysis: ```text 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.