超越回归:解开人类复杂系统的研究与定性比较分析的研究
Xinxin Xu1, Safdar Husain Tahir2, Khuda Bakhsh Khan3
1Business School, Chengdu University, Chengdu-610106, People's Republic of China.
Heliyon
|May 30, 2024
概括
定性比较分析 (QCA) 优于传统的回归分析,用于研究复杂的人类系统. 模糊集QCA (fsQCA) 与清晰集QCA和传统方法相比,为民主生存提供了更好的洞察力.
科学领域:
- 社会科学 社会科学 社会科学
- 政治科学 政治科学是指政治学.
- 比较政治比较政治比较政治
背景情况:
- 传统的回归分析 (CRA) 经常与人类系统的复杂性作斗争.
- 调查影响民主生存的因素需要细微的分析方法.
研究的目的:
- 为了比较定性比较分析 (QCA) 与传统回归分析 (CRA) 的有效性,用于研究复杂的人类系统.
- 评估清晰集QCA和模糊集QCA (fsQCA) 在分析民主生存方面的表现.
主要方法:
- 利用了18个国家的历史性,跨国次要数据 (Lipset & Man,1960年).
- 采用了清晰集QCA和模糊集QCA (fsQCA) 来分析民主生存及其前例之间的关系.
- 包括变量:人均国民生产总值,城市化,识字率和工业劳动力.
主要成果:
- CRA指出,民主生存与其前例之间的关系微不足道.
- 克里斯普设置QCA确定了两种先例组合,用于高民主生存,但覆盖范围有限.
- 模糊集QCA (fsQCA) 揭示了与强大的民主生存相关的五种组合,显示了足够的覆盖和一致性.
结论:
- 模糊集QCA (fsQCA) 在分析复杂的人类系统方面优于清晰集QCA和CRA.
- fsQCA提供了更强大的实证解决方案,捕捉复杂的现实生活场景.
- 鼓励研究人员将fsQCA纳入对人类复杂系统的研究.
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