用局部结构方程建模 (LSEM) 建模非线性调节效应:一个非技术性的介绍
Tuo Liu1, Ruyi Ding2, Zhonghuang Su2
1Institute of Psychology, Goethe-Universität Frankfurt am Main, Frankfurt, Germany.
概括
本研究介绍了局部结构方程建模 (LSEM),这是一种分析心理学研究中非线性调节效应的非参数方法. LSEM克服了传统方法的局限性,使复杂关系的灵活探索和测试成为可能.
科学领域:
- 心理学和行为科学 心理学和行为科学
- 量化心理学 量化心理学
- 统计建模 统计建模
背景情况:
- 研究调节效应,即第三个变量影响关系的强度,在心理学研究中至关重要.
- 传统的结构方程建模 (SEM) 方法往往侧重于线性调节,可能缺失非线性效应.
- 对于连续调节器的现有方法可能是有限的,需要调节器分类或功能形式的预规格.
研究的目的:
- 引入局部结构方程建模 (LSEM) 作为分析调节效应的非参数方法.
- 证明LSEM的应用,用于检测和测试没有先前假设的非线性调节.
- 用R-sirt包与经验数据集来展示LSEM的灵活性.
主要方法:
- 以非技术的方式介绍局部结构方程建模 (LSEM).
- 使用R-sirt包来分析非线性调节的LSEM的实施.
- 对调节函数的探索和确认分析的演示.
主要成果:
- 在没有传统SEM方法的局限性的情况下,LSEM有效地分析非线性调节效应.
- 该R-sirt包为各种研究场景提供了LSEM的多功能实施.
- 由于LSEM的非参数性,可以发现意想不到的非线性调节模式.
结论:
- 在心理学研究中,LSEM提供了一种强大而灵活的非参数替代方法来研究非线性调节.
- 这种方法提高了发现由持续主持人影响的复杂关系的能力.
- 研究人员可以利用LSEM进行基于假设和数据的调节调查.
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