Replication Data for AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions

These datasets were generated during Phase 2 (Development) of the exploratory sequential mixed-methods design described in “AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions.” They were subsequently used in Phase 3 (Quantitative Analysis) of the study to identify key factors and assess the direction and magnitude of their influence on decision outcomes. These datasets are intended to be used in conjunction with the Data Analysis Pipeline developed for the same CAIS paper, which is publicly available at https://github.com/arashbarfar/cais-mixed-methods-data-analysis-pipeline/. Together, the datasets and the pipeline enable full replication of the analyses, results, figures, and findings reported in the paper. For theoretical background, methodological details, and interpretation of results, please refer to the paper “AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions.”