计算机科学
软件
开源软件
数据挖掘
定性比较分析
开源
人气
理论计算机科学
元组
算法
程序设计语言
机器学习
数学
离散数学
心理学
社会心理学
作者
Lusine Mkrtchyan,Alrik Thiem,Zuzana Sebechlebská
标识
DOI:10.1177/08944393241275640
摘要
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.
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