谁会质疑法律的合法性呢? 一个使用中国国家数据的隐性个人资料分析
1Department of Social and Behavioural Sciences, City University of Hong Kong.
Law and human behavior
|September 30, 2024
概括
这项研究在中国公民中确定了四个不同的法律合法性概况,揭示了人口异质性. 调查结果强调了理解这些子组对于对法律合法性的微妙看法的重要性.
科学领域:
- 社会科学 社会科学 社会科学
- 社会学 社会学 社会学
- 犯罪学 犯罪学
背景情况:
- 现有的模型往往将法律合法性视为一个一般概念,可能会忽视人口内部的重大差异.
- 需要超越对法律合法性的单一理解,以确定不同的子组.
- 了解这些子组可以更深入地了解公众对法律的态度.
研究的目的:
- 识别和描述中国公民中具有法律合法性的不同子组 (个人资料).
- 测试感知过程性正义是否预测了这些已识别的个人资料.
- 检查法律合法性概况与社会人口统计学特征之间的关联,特别是对于弱势群体.
主要方法:
- 利用了2015年中国总社会调查的调查数据,专注于衡量法律合法性的八个项目.
- 采用确认因素分析来验证法律合法性维度的测量.
- 在3475名中国公民的样本中进行了潜在的个人资料分析,以确定不同的法律合法性个人资料.
主要成果:
- 确定了四种不同的法律合法性概况:满意的顺从者,相对满意的顺从者,普通的顺从者和愤世嫉俗的顺从者.
- 这些配置文件通过在程序正义因素上显著不同来证明构造有效性.
- 在确定的个人资料和各种社会人口统计学变量之间发现了显著的关联.
结论:
- 这些发现证实了中国人口在法律合法性方面存在显著的异质性.
- 法律合法性的多维概念化,考虑到不同的子组,至关重要.
- 未来的研究应该考虑这些已识别的个人资料,以更全面地了解法律合法性.
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