The cross-lagged panel model (CLPM) is a widely used technique for examining reciprocal
causal effects using longitudinal data. Critics of the CLPM have noted that by failing to …

This article compares different approaches for estimating cross-lagged effects with a cross-
lagged panel design under a causal inference perspective. We distinguish between models …

In psychological science, researchers often pay particular attention to the distinction
between within-and between-persons relationships in longitudinal data analysis. Here, we …

Many statistical models have been proposed to examine reciprocal cross-lagged causal
effects from panel data. The present article aims to clarify how these various statistical …

Objective The objectives of this study are to: 1) evaluate associations between social
isolation and change in cognition over a three-year period, and 2) evaluate whether physical …

Many models have been proposed to examine the reciprocal cross-lagged causal effects
from panel data. The purpose of the current article is to clarify how these various models …

Ethnic minority youth show worse school adjustment than their ethnic majority peers. Yet, it
remains unclear whether this gap can be explained by differences in family functioning and …

This study simplifies the seven different cross-lagged panel models (CLPMs) by using the
RSEM model for both inter-individual and intra-individual structures. In addition, the study …

Objective Entringer et al. used longitudinal data from a German panel study to examine
reciprocal causal effects between personality and religiosity, along with cultural moderators …

The cross-lagged panel model (CLPM) is an analytic technique used to examine the
reciprocal causal effects of two or more variables assessed on two or more occasions …