The cross-lagged panel model (CLPM) has been extremely popular in behavioral and psychological science research (Usami et al., 2019). 最基本的CLPM如下图所示,对两个变量在两个时间点分别进行了测量,因此,该模型包括了两个X变量(x1,x2)和两个Y变量(y1,y2)。 CLPM估计三种类型的关系 1. [...
Random Intercept Cross-Lagged Panel Models (RI-CLPM) Mplus Web Talks Web Talk 5:Can Cross-Lagged Panel Modeling Be Relied On to Establish Cross-Lagged Effects?, November 2022. RI-CLPM Theory
Mplus—随机截距交叉滞后模型www.zhihu.com/column/c_1598628283851153408 简介 关于多指标随机截距交叉滞后模型(Multiple Indicator Random Intercept Cross-Lagged Panel Model, MI RI-CLPM),在下面这篇文章的“Extension 3: The multiple indicator RI-CLPM”部分有相应介绍,感兴趣的可以仔细阅读一下。 Mulder, J...
Overall, results of the here conducted empirical analyses underscore the value of considering concurrent effects in random-intercept cross-lagged panel modeling. Considering also the evidence from simulation studies conducted by B. Muthén and Asparouhov (Citation2022, Citation2024) that suggest that the...
(random-intercept) cross-lagged panel modelmixture structural equation modelingperson heterogeneityambulatory assessmentLongitudinal models suited for the analysis of panel data, such as cross-lagged panel or autoregressive latent-state trait models, assume population homogeneity with respect to the temporal ...
respectively. A total of 256 Chinese elementary school students participated in a three-wave longitudinal study spanning two years. We used the random intercept cross-lagged panel model (RI-CLPM) to investigate the concurrent and longitudinal associations between emotion regulation and ODD symptoms. Res...
Cross-lagged panel models (CLPMs) are widely used to test mediation with longitudinal panel data. One major limitation of the CLPMs is that the model effec
The Reciprocal Relationship Between Parental Involvement and Mathematics Achievement: Autoregressive Cross-Lagged Modeling This study focused on comparing the longitudinal associations between two types of parental involvement (i.e., mathematics value and academic reinforcement... S Hong,SK Yoo,S You,......
We applied structural equation modeling with two waves of survey data from a cross-lagged panel design to investigate reciprocal relationships between latent variables representing social well-being and pro-environmental behavior. Results showed that pro-environmental behavior at baseline predicted later ...
By taking a regression approach to modeling the relationships, we apply multivariate regression methodology to make inferences about the regression coefficients in a cross-lagged panel model. In particular we develop a test of the hypothesis that the regression coefficients indicating the cross-effects ...