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Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.

Psychological Methods
This article considers identification, estimation, and model fit issues for models with contemporaneous and reciprocal effects. It explores how well the models work in practice using Monte Carlo studies as well as real-data examples. Furthermore, by using models that allow contemporaneous and reciprocal effects, the paper raises a fundamental question ...
Bengt, Muthén, Tihomir, Asparouhov
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On Cross-Lagged Panel Models With Serially Correlated Errors

Journal of Business & Economic Statistics, 1986
Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets.
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Cross-lagged panel modeling with binary and ordinal outcomes.

Psychological Methods
To date, cross-lagged panel modeling has been studied only for continuous outcomes. This article presents methods that are suitable also when there are binary and ordinal outcomes. Modeling, testing, identification, and estimation are discussed.
Bengt, Muthén   +2 more
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A cross‐lagged model of the link between parental psychological control and adolescent aggression

Journal of Adolescence, 2019
ABSTRACTIntroductionThe present study investigated the longitudinal relationship between parental psychological control and adolescent aggression in Chinese adolescents. We also explored whether adolescent gender plays a moderating role in this relationship.MethodsA total of 2458 adolescents (mean age = 13.20 ± 0.65 years; 51.3% male) from Beijing ...
Yan, He   +3 more
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Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Models

2022
This seminar introduces longitudinal panel data models in Mplus using SEM, including latent growth models (i.e., latent curve or latent trajectory models) and cross-lagged panel models (i.e., panel vector autoregression) with random and fixed effects, including the random intercept cross-lagged panel model (RI-CLPM) to assess time-varying and stable ...
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Appropriate modeling of endogeneity in cross-lagged models: Efficacy of auxiliary and model-implied instrumental variables

Behavior Research Methods
Endogeneity is a critical concern in research methodologies, yet it has been insufficiently addressed in longitudinal cross-lagged models, leading to potentially biased outcomes. This study scrutinized the endogeneity inherent in the cross-lagged panel model (CLPM), a prevalent and representative framework in longitudinal studies.
Junyan, Fang   +3 more
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Peer victimization and emotion regulation strategies in adolescents: A cross‐lagged panel model

Journal of Research on Adolescence
Abstract Many adolescents experience peer victimization during this critical period for development. Emotion regulation strategies, including cognitive reappraisal and emotional suppression, can help adolescents cope with such experiences.
Katherine N. Alexander   +6 more
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Three Extensions of the Random Intercept Cross-Lagged Panel Model

Structural Equation Modeling, 2021
Jeroen Mulder, Ellen Hamaker
exaly  

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