Exploring causal complexity in mate preferences in China: a reanalysis of survey experiment data using qualitative comparative analysis (QCA)
Abstrak
Abstract This paper employs two methods: a fixed effects model and a fuzzy-set qualitative comparative analysis (QCA) to analyze the survey experiment data on mate preference from Chinese General Social Survey in 2021. The study reveals that while the conclusions of both methods were consistent, QCA proves more advantageous in capturing the complexity in mate preferences. Specifically, the influence of mate selection conditions on mate selection decisions 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 capture the asymmetry of this causal relationship. QCA and regression models are well-suited for analyzing different causal questions; it is only through the complementary use of both methods that a synergistic effect can be achieved.
Topik & Kata Kunci
Penulis (1)
Qi Xu
Akses Cepat
- Tahun Terbit
- 2025
- Sumber Database
- DOAJ
- DOI
- 10.1186/s40711-025-00245-z
- Akses
- Open Access ✓