如何建立和分析面板数据QCA模型?Garcia-Castro和Arino的面板数据QCA模型的方法学论证

Q1 Social Sciences

Methodological Innovations Pub Date : 2023-07-04 DOI:10.1177/20597991231179389

P. Bhattacharya

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引用次数: 0

摘要

QCA中有许多不同的面板数据分析方法。在这篇文章中，我展示了其中一种方法，即如何根据Garcia Castro和Arino（2016）构建面板数据QCA模型。我应用了我自己的研究数据，并通过软件包“QCA”和“Set Methods”软件R对其进行了分析。我特别关注面板数据QCA分析的两个主要步骤，第一，如何测试必要和充分的条件，第二，如何解释面板数据QCA结果。通过演示这些步骤，我希望能帮助未来的学者在面板数据QCA方面的工作。

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How to build and analyze a panel data QCA model? A methodological demonstration of Garcia-Castro and Arino’s panel data QCA model

There are many different ways of analyzing panel data in QCA. In this article, I have demonstrated one of these ways, that is, how to build a panel data QCA model, following Garcia-Castro and Arino (2016). I have applied my own research data, and analyzed it through the packages, “QCA” and “Set Methods”, software R. I have particularly focused on two main steps in panel data QCA analysis, first, how to test for necessary and sufficient conditions, and second, how to interpret panel data QCA results. By demonstrating these steps, I hope to help future scholars in their own work on panel data QCA.

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来源期刊

Methodological Innovations Social Sciences-Sociology and Political Science

CiteScore

3.30

自引率

0.00%

发文量

审稿时长

15 weeks