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探索择偶偏好中的因果复杂性——使用QCA对调查实验数据的再分析

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本文同时使用固定效应模型和模糊集QCA分析了中国社会综合调查(CGSS2021)中关于择偶偏好的调查实验数据.研究发现,两种方法的结论存在共性,但QCA在探究择偶偏好的因果复杂性方面更有优势.具体来说,各择偶条件对择偶决策的影响不是孤立的,而是叠加在一起,因而具有某种组态特征;不同择偶条件对接受和拒绝决策的影响机制不同,而回归分析难以揭示这种因果关系的非对称性.回归模型和QCA适用于分析不同性质的因果问题,只有将二者结合使用,才能收到相得益彰的效果.
Exploring the Causal Complexity in Mate Preference:A Reanalysis of Survey Experiment Data Using QCA
This paper uses two methods—fixed effect model and fuzzy-set QCA(Qualitative Comparative Analysis)—to analyze the survey experiment data on mate preference from the CGSS 2021.The study reveals that while the conclusions of both methods were consistent,QCA has been proved to be more advantageous in capturing the complexity in mate preference.Specifically,the influence of mate selection conditions on mate selection decision is not isolated,but bound together,leading to configurational features in nature.In addition,acceptance and rejection decisions are affected by different causal mechanisms,and regression analysis cannot study the asymmetry of this causal relationship.QCA and regression models are apt for analyzing different causal questions.It is only through the complementary use of both methods that a synergistic effect can be achieved.

许琪

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南京大学社会学院

择偶偏好 因果复杂性 调查实验法 回归模型 定性比较分析

国家社会科学基金青年项目

20CRK025

2024

社会学研究
中国社会科学院社会学研究所

社会学研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.54
ISSN:1002-5936
年,卷(期):2024.39(3)