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Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models

Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret interaction effects...

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Autores principales: Speyer, Lydia Gabriela, Ushakova, Anastasia, Blakemore, Sarah-Jayne, Murray, Aja Louise, Kievit, Rogier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615284/
https://www.ncbi.nlm.nih.gov/pubmed/37937063
http://dx.doi.org/10.31234/osf.io/wktrb
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author Speyer, Lydia Gabriela
Ushakova, Anastasia
Blakemore, Sarah-Jayne
Murray, Aja Louise
Kievit, Rogier
author_facet Speyer, Lydia Gabriela
Ushakova, Anastasia
Blakemore, Sarah-Jayne
Murray, Aja Louise
Kievit, Rogier
author_sort Speyer, Lydia Gabriela
collection PubMed
description Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret interaction effects in such models using an empirical example from developmental psychopathology research. We illustrate the analysis of Within × Within and Between × Within interactions utilising data from the United Kingdom-based Millennium Cohort Study within a Bayesian Structural Equation Modelling framework. We provide annotated Mplus code, allowing users to isolate, estimate and interpret the complexities of within-person and between person dynamics as they unfold over time.
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spelling pubmed-76152842023-11-07 Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models Speyer, Lydia Gabriela Ushakova, Anastasia Blakemore, Sarah-Jayne Murray, Aja Louise Kievit, Rogier Struct Equ Modeling Article Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret interaction effects in such models using an empirical example from developmental psychopathology research. We illustrate the analysis of Within × Within and Between × Within interactions utilising data from the United Kingdom-based Millennium Cohort Study within a Bayesian Structural Equation Modelling framework. We provide annotated Mplus code, allowing users to isolate, estimate and interpret the complexities of within-person and between person dynamics as they unfold over time. 2023-03-04 2022-08-05 /pmc/articles/PMC7615284/ /pubmed/37937063 http://dx.doi.org/10.31234/osf.io/wktrb Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Speyer, Lydia Gabriela
Ushakova, Anastasia
Blakemore, Sarah-Jayne
Murray, Aja Louise
Kievit, Rogier
Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models
title Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models
title_full Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models
title_fullStr Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models
title_full_unstemmed Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models
title_short Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models
title_sort testing for within × within and between × within moderation using random intercept cross-lagged panel models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615284/
https://www.ncbi.nlm.nih.gov/pubmed/37937063
http://dx.doi.org/10.31234/osf.io/wktrb
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