Affording Process Auditability with QualAnalyzer: An Atomistic LLM Analysis Tool for Qualitative Research
📰 ArXiv cs.AI
QualAnalyzer is an open-source tool that provides process auditability for qualitative research using large language models
Action Steps
- Identify the need for process auditability in qualitative research
- Use QualAnalyzer to process each data segment independently and preserve the prompt, input, and output for every unit
- Apply QualAnalyzer to case studies such as holistic essay scoring and deductive thematic coding
- Evaluate the effectiveness of QualAnalyzer in increasing transparency and reproducibility in qualitative research
Who Needs to Know This
Data scientists and qualitative researchers on a team can benefit from using QualAnalyzer to increase transparency and reproducibility in their analysis, while software engineers can contribute to the development and integration of the tool
Key Insight
💡 QualAnalyzer provides a transparent and reproducible way to conduct qualitative research using large language models
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📊 QualAnalyzer: increasing transparency in qualitative research with LLMs
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