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超越交叉滞后面板模型:用于分析生命历程中相互依存关系的下一代统计工具。

Beyond the Cross-Lagged Panel Model: Next-generation statistical tools for analyzing interdependencies across the life course.

作者信息

Mund Marcus, Nestler Steffen

机构信息

Institut für Psychologie, Friedrich-Schiller-Universität Jena, Humboldtstraße 11, D-07743 Jena, Germany.

Institut für Psychologie, Universität Leipzig, Neumarkt 9-19, D-04109 Leipzig, Germany.

出版信息

Adv Life Course Res. 2019 Sep;41:100249. doi: 10.1016/j.alcr.2018.10.002. Epub 2018 Oct 21.

DOI:10.1016/j.alcr.2018.10.002
PMID:36738028
Abstract

For decades, researchers have employed the Cross-Lagged Panel Model (CLPM) to analyze the interactions and interdependencies of a wide variety of inner- or supra-individual variables across the life course. However, in the last years the CLPM has been criticized for its underlying assumptions and several alternative models have been proposed that allow to relax these assumptions. With the Random-Intercept CLPM, the Autoregressive Latent Trajectory Model with Structured Residuals, and the Dual Change Score Model, we describe three of the most prominent alternatives to the CLPM and provide an impression about how to interpret the results obtained with these models. To this end, we illustrate the use of the presented models with an empirical example on the interplay between self-esteem and relationship satisfaction. We provide R and Mplus scripts that might help life course researchers to use these novel and powerful alternatives to the CLPM in their own research.

摘要

几十年来,研究人员一直使用交叉滞后面板模型(CLPM)来分析生命历程中各种个体内部或个体间变量的相互作用和相互依存关系。然而,近年来,CLPM因其潜在假设而受到批评,并且已经提出了几种替代模型,这些模型可以放宽这些假设。通过随机截距CLPM、具有结构化残差的自回归潜轨迹模型和双变化得分模型,我们描述了CLPM的三种最突出的替代模型,并展示了如何解释用这些模型获得的结果。为此,我们用一个关于自尊与关系满意度之间相互作用的实证例子来说明所提出模型的使用。我们提供了R和Mplus脚本,可能有助于生命历程研究人员在自己的研究中使用这些新颖且强大的CLPM替代模型。

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