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

These tabular 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 used in Phase 3 (QUAN) of the study to identify influential factors and assess the direction of their impact on judicial decisions in COVID-19 compassionate release cases. For detailed information, please refer to the paper \"AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions.'

本批表格型数据集（tabular datasets）生成于《人工智能与质性研究：解释半结构化决策的混合方法路径》（英文原名："AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions"）所阐述的探索性序列混合方法设计（exploratory sequential mixed-methods design）的第二阶段（研发阶段）。该数据集被应用于本研究的第三阶段（QUAN，量化研究阶段），用于识别新冠同情性释放案件中的司法裁判影响因素，并评估各因素对裁判结果的影响方向。如需获取详细信息，请参阅上述论文。