一个通用框架,用于将时间变化和时间不变的共变量纳入潜态特征模型
Lara Oeltjen1, Tobias Koch1, Jana Holtmann2
1Department of Psychology, Friedrich-Schiller-Universitat Jena.
Psychological methods
|July 20, 2023
概括
新的调节非线性潜态特征 (MN-LST) 框架允许研究人员将共变量纳入潜态特征模型中. 这增强了心理研究中特征变化和变异性的分析.
科学领域:
- 心理学 心理学 心理学
- 量化心理学 量化心理学
- 统计建模 统计建模
背景情况:
- 潜态特征 (LST) 模型在心理学中广泛用于分析变化和变化.
- 现有的LST模型在将时间变化或时间不变的共变量纳入模型关键参数方面存在局限性.
研究的目的:
- 在LST模型中引入名义和/或连续时间变量和时间不变量共变量的一般框架.
- 加强分析特征变化,人与人之间的情况相互作用,以及人与人之间/人内变异性的分析.
主要方法:
- 适度非线性LST (MN-LST) 框架的开发.
- 现代LST理论与贝叶斯调节的非线性因子分析的整合.
- 将MN-LST方法与其他建模策略进行比较.
主要成果:
- MN-LST框架为LST分析提供了新的建模能力.
- 它允许对LST参数上的共变量效应进行更详细的检查.
- 经验应用证明了它在分析关系中的双向应对方面的实用性.
结论:
- MN-LST框架为心理学研究提供了先进的可能性,特别是理解复杂的人际关系动态.
- 它有助于对特征变化和变化的细粒度分析.
- 为其应用提供了实际建议.
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