Increasingly, psychologists make use of modern configurational comparative methods (CCMs), such as qualitative comparative analysis (QCA) and coincidence analysis (CNA), to infer regularity-theoretic causal structures from psychological data. At the same time, existing CCMs remain unable to reveal such structures in the presence of complex effects. Given the strong emphasis configurational methodology generally puts on the notion of complex causation, and the ubiquity of multieffect problems in psychological research, such as multimorbidity and polypharmacy, this limitation is severe. In this article, we introduce psychologists to combinational regularity analysis (CORA)-a new member in the family of CCMs-with which regularity-theoretic causal structures that may include complex effects can be uncovered. To this end, CORA draws on algorithms originally developed in electrical engineering for the analysis of multioutput switching circuits, which regulate the behavior of electrical signals between a set of inputs and a set of outputs. After having situated CORA within the landscape of modern CCMs, we present its technical foundations. Subsequently, we demonstrate the method's analytical and graphical capabilities by means of artificial and empirical data. To facilitate familiarization, we use the concept of the "method game" to compare CORA with QCA and CNA. Through CORA, configurational analyses of complex effects come into the analytical reach of CCMs. CORA thus represents a useful addition to the methodological toolkit of psychologists who want to analyze their data from a configurational perspective. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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组合规律分析（CORA）：心理学家简介。


心理学家越来越多地利用现代配置比较方法（CCM），例如定性比较分析（QCA）和巧合分析（CNA），从心理数据中推断规律性理论的因果结构。与此同时，现有的 CCM 仍然无法在存在复杂效应的情况下揭示此类结构。鉴于配置方法论通常强调复杂因果关系的概念，以及心理学研究中普遍存在的多效应问题，例如多重发病和多重用药，这种局限性是严重的。在本文中，我们向心理学家介绍组合规律性分析（CORA）——CCM 家族的新成员——通过它可以揭示可能包括复杂效应的规律性理论因果结构。为此，CORA 利用最初在电气工程中开发的算法来分析多输出开关电路，该电路调节一组输入和一组输出之间的电信号行为。在将 CORA 置于现代 CCM 的背景下之后，我们介绍了其技术基础。随后，我们通过人工和经验数据证明了该方法的分析和图形功能。为了便于熟悉，我们使用“方法博弈”的概念来将CORA与QCA和CNA进行比较。通过 CORA，复杂效应的构型分析进入了 CCM 的分析范围。因此，对于那些想要从构形角度分析数据的心理学家来说，CORA 是对方法论工具包的一个有用补充。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。