Results 151 to 160 of about 37,662 (179)
Some of the next articles are maybe not open access.
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
openaire +2 more sources
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
openaire +2 more sources
Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Panel Models
2022This 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 ...
openaire +3 more sources
Peer victimization and emotion regulation strategies in adolescents: A cross‐lagged panel model
Journal of Research on AdolescenceAbstract 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
openaire +2 more sources
Cross-lagged Panel Mediation Models with Latent Constructs: Specification and Estimation
Multivariate Behavioral Research, 2019The use of observed scores to represent constructs in cross-lagged panel mediation models (CLPMs) can result in inaccurate effect estimates of these constructs (Cole & Maxwell, 2003; Little, 2013)....
Gertrudes Velasquez, Qian Zhang
openaire +1 more source
The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Abstract Background Intrinsic capacity (IC) is a multidimensional construct defined by the World Health Organization. Although IC has been established as a significant predictor of functional decline in older adults, emerging evidence suggests that functional impairment may, in turn, accelerate the ...
Yilin Cheng +5 more
openaire +2 more sources
Abstract Background Intrinsic capacity (IC) is a multidimensional construct defined by the World Health Organization. Although IC has been established as a significant predictor of functional decline in older adults, emerging evidence suggests that functional impairment may, in turn, accelerate the ...
Yilin Cheng +5 more
openaire +2 more sources
Longitudinal SEM in R: Latent Growth and Cross-Lagged Panel Models
2022This seminar introduces longitudinal panel data models in Lavaan 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 ...
openaire +1 more source
Inequality-constrained model selection in cross-lagged panel models
This study explores the use of the GORICA, a model selection method based on inequality constraints, in cross-lagged panel models (CLPM and RI-CLPM). The findings show that the GORICA can accurately identify the true model, and its performance improves as the sample size, number of measurement occasions, and differences between parameters increase ...openaire +1 more source
Three Extensions of the Random Intercept Cross-Lagged Panel Model
Structural Equation Modeling, 2021Jeroen D Mulder, Ellen L Hamaker
exaly
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using thepowRICLPMR-Package
Structural Equation Modeling, 2023Jeroen D Mulder
exaly

