Designing Research With Qualitative Comparative Analysis (QCA): Approaches, Challenges, and Tools
Designing Research With Qualitative Comparative Analysis (QCA): Approaches, Challenges, and Tools
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DOI：
10.1177/0049124117729700
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发表时间：
2020-05
影响因子：
6.3
通讯作者：
Eva Thomann;M. Maggetti
中科院分区：
文献类型：
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作者：
Eva Thomann;M. Maggetti
近年来，在进行定性比较分析（QCA）研究方面出现了许多创新。同时，围绕其使用的重要问题也得到强调。在本文中，我们试图帮助用户设计QCA研究。我们认为，用QCA建立推理涉及三个相互交织的设计组件：首先，澄清外部效度问题；二是保证内部有效性；第三，明确地采用一种特定的推理模式。我们确定了几种新兴的QCA方法，而不仅仅是一种。一些方法强调案例知识，而另一些方法则以条件为导向。方法强调本质上可解释或无冗余的解释，一些设计应用归纳/探索推理模式，而另一些则整合演绎元素。在现有文献的基础上，我们讨论了围绕QCA推理的问题，以及不同方法下可用的工具来解决这些问题。在特定的研究背景下，我们指定权衡和公正对待QCA的性质和目标的重要性。
Recent years have witnessed a host of innovations for conducting research with qualitative comparative analysis (QCA). Concurrently, important issues surrounding its uses have been highlighted. In this article, we seek to help users design QCA studies. We argue that establishing inference with QCA involves three intertwined design components: first, clarifying the question of external validity; second, ensuring internal validity; and third, explicitly adopting a specific mode of reasoning. We identify several emerging approaches to QCA rather than just one. Some approaches emphasize case knowledge, while others are condition oriented. Approaches emphasize either substantively interpretable or redundancy-free explanations, and some designs apply an inductive/explorative mode of reasoning, while others integrate deductive elements. Based on extant literature, we discuss issues surrounding inference with QCA and the tools available under different approaches to address these issues. We specify trade-offs and the importance of doing justice to the nature and goals of QCA in a specific research context.