态度网络作为群体间的现实:在两极分化的政治环境中,使用网络建模来研究态度-身份关系
Adrian Lüders1,2, Dino Carpentras2, Michael Quayle2,3
1Department of Communication Science, University of Hohenheim, Stuttgart, Germany.
The British journal of social psychology
|July 11, 2023
概括
这项研究使用了一种新的网络建模技术,以展示态度如何与极化美国政治中的群体身份联系. 它揭示了有组织的信仰如何帮助管理党派身份和社会观念.
科学领域:
- 社会心理学 社会心理学
- 政治心理学 政治心理学
- 计算社会科学 计算社会科学
背景情况:
- 美国的政治两极分化是由根深蒂固的信念体系驱动的.
- 了解个人态度和群体身份之间的关系对于分析社会分裂至关重要.
- 现有的方法难以捕捉党派团体内部态度的复杂结构.
研究的目的:
- 引入和应用响应项目网络 (ResIN) 技术来分析态度-身份关系.
- 调查冲突的党派团体之间的态度结构是如何不同的.
- 探索有组织的态度系统在管理群体身份和社会认知中的作用.
主要方法:
- 开发并应用了一种新的网络建模技术 (ResIN).
- 分析了来自美国群众工作者的数据 (N=396) 和2020年ANES数据集 (N=8280).
- 模拟的态度网络代表了两个冲突的党派信仰体系.
主要成果:
- 态度网络结构显著预测潜在的党派身份,识别特定群体的态度.
- 态度有效地传达与身份相关的信息,影响社会评估.
- 维涅特研究的结果表明,对于社会环境的结构化而言,人们依赖于态度与身份的联系.
结论:
- ResIN方法揭示了宏观层面的态度结构和身份管理之间的功能相互依赖.
- 这些发现有助于我们更好地理解社会政治背景下的态度-身份动态.
- 该研究强调了有组织的态度如何促进党派分裂和群体认同.
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