Data for \"AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions\"
收藏DataONE2025-12-04 更新2025-12-13 收录
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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.'
本批表格数据集生成于论文《AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions》中所述的探索性顺序混合方法设计的第二阶段(DEVELOPMENT,开发阶段)。该数据集被应用于本研究的第三阶段(QUAN,量化阶段),用于识别新冠疫情同情性释放案件中影响司法决策的关键因素,并评估各因素对司法决策的影响方向。如需获取详细信息,请参阅上述论文《AI Meets Qualitative Research: A Mixed-Methods Approach to Explaining Semi-Structured Decisions》。
创建时间:
2025-12-07



