个体作为变量关系的调节者 - 一种配置方法
Alexander von Eye1, Wolfgang Wiedermann2
1Michigan State University, USA.
Journal for person-oriented research
|June 6, 2024
概括
本研究介绍了个人作为统计分析的调节者,使用配置频率分析 (CFA). 研究结果显示,变量关系在个体之间可能有很大差异,这挑战了样本级假设.
科学领域:
- 心理学 心理学 心理学
- 统计 统计 统计 统计
- 社会科学 社会科学 社会科学
背景情况:
- 主管变量影响其他变量之间的关系.
- 传统分析往往忽视了这些关系中的个人差异.
- 需要以人为本的方法来理解变量相互作用.
研究的目的:
- 提出并展示在统计分析中使用个人作为主持人的方法.
- 调查变量关系是否在个体之间有所不同.
- 从以个人为导向的角度引入配置频率分析 (CFA).
主要方法:
- 配置频率分析 (CFA) 用于识别不同变量关系的个体.
- 在CFA中指定了基准模型以检测这些个体差异.
- 分析了涉及酒者,主观压力和酒消费的数据示例.
主要成果:
- 该研究发现,并非所有样本中的个人都表现出主观压力与酒消费之间的总体样本水平关联.
- 这突显了个体层面变量关系中的显著异质性.
- 配置调节者模型揭示了特定个体的独特模式.
结论:
- 个人可以有效地充当主持人,为变量互动提供更细致的理解.
- 使用CFA以人为本的方法对于识别具有独特可变关系模式的个体是有价值的.
- 未来的研究应该探索配置调节器模型的扩展.
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