Modern Configurational Comparative Methods (CCMs), such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have gained in popularity among social scientists over the last thirty years. A new CCM called Combinational Regularity Analysis (CORA) has recently joined this family of methods. In this article, we provide a software tutorial for the open-source package CORA, which implements the eponymous method. In particular, we demonstrate how to use CORA to discover shared causes of complex effects and how to interpret corresponding solutions correctly, how to mine configurational data to identify minimum-size tuples of solution-generating inputs, and how to visualize solutions by means of logic diagrams.

中文翻译：

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CORA：用于组合正则分析的开源软件工具


现代构型比较方法 (CCM)，例如定性比较分析 (QCA) 和巧合分析 (CNA)，在过去三十年中在社会科学家中越来越受欢迎。一种称为组合正则分析 (CORA) 的新 CCM 最近加入了该方法系列。在本文中，我们提供了开源包 CORA 的软件教程，它实现了同名方法。特别是，我们演示了如何使用 CORA 发现复杂效应的共同原因以及如何正确解释相应的解决方案，如何挖掘配置数据以识别解决方案生成输入的最小尺寸元组，以及如何通过逻辑可视化解决方案图表。