CORA:一个开源软件工具,用于组合规则性分析
Lusine Mkrtchyan1, Alrik Thiem1, Zuzana Sebechlebská1
1University of Lucerne, Switzerland.
概括
本教程介绍了组合规律性分析 (CORA),一种新的配置比较方法. 学习如何使用CORA包,在数据中找到复杂效应的共同原因.
科学领域:
- 社会科学 社会科学 社会科学
- 方法论 方法论 方法论
- 数据分析 数据分析
背景情况:
- 配置比较方法 (CCM),如定性比较分析 (QCA) 和巧合分析 (CNA) 越来越多地被使用.
- 最近出现了一种新的CCM,即组合规律性分析 (CORA).
- 需要可访问的工具来实施和理解新的CCM.
研究的目的:
- 为开源CORA包提供一个软件教程.
- 展示CORA的应用,以发现复杂效应的共同原因.
- 为了指导用户解释CORA解决方案和可视化结果.
主要方法:
- 介绍CORA方法及其基础原则.
- 关于使用CORA开源软件包的逐步指南.
- 解释挖掘配置数据和识别解决方案生成输入的技术.
主要成果:
- 展示CORA如何识别解决方案生成输入的最小大小元组.
- 说明如何正确解释由CORA生成的解决方案.
- 使用逻辑图可视化复杂因果关系的指导.
结论:
- 对于社会科学家来说,CORA包提供了一个实用的工具来应用新的CCM.
- 科拉有助于发现和解释复杂的因果结构.
- 该教程使研究人员能够有效地利用CORA来分析配置数据.
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