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

Lydia Speyer; Anastasia Ushakova; Sarah-Jayne Blakemore; Aja Louise Murray; Rogier Kievet

doi:10.1080/10705511.2022.2096613

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

Lydia Speyer, Anastasia Ushakova, Sarah-Jayne Blakemore, Aja Louise Murray, Rogier Kievet

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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.

Original language	English
Journal	Structural Equation Modeling: A Multidisciplinary Journal
Early online date	5 Aug 2022
DOIs	https://doi.org/10.1080/10705511.2022.2096613
Publication status	E-pub ahead of print - 5 Aug 2022

Keywords / Materials (for Non-textual outputs)

RI-CLPM
moderation
Millennium Cohort Study
emotional problems
conduct problems

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10.1080/10705511.2022.2096613Licence: Creative Commons: Attribution (CC-BY)

SpeyerEtalSEM2022TestingForWithinXWithinFinal published version, 2.7 MBLicence: Creative Commons: Attribution (CC-BY)

Cite this

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title = "Testing for Within × Within and Between × Within moderation using Random Intercept Cross-Lagged Panel Models",

abstract = "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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author = "Lydia Speyer and Anastasia Ushakova and Sarah-Jayne Blakemore and Murray, {Aja Louise} and Rogier Kievet",

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doi = "10.1080/10705511.2022.2096613",

language = "English",

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AU - Speyer, Lydia

AU - Ushakova, Anastasia

AU - Blakemore, Sarah-Jayne

AU - Murray, Aja Louise

AU - Kievet, Rogier

PY - 2022/8/5

Y1 - 2022/8/5

N2 - 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.

AB - 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.

KW - RI-CLPM

KW - moderation

KW - Millennium Cohort Study

KW - emotional problems

KW - conduct problems

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M3 - Article

SN - 1070-5511

JO - Structural Equation Modeling: A Multidisciplinary Journal

JF - Structural Equation Modeling: A Multidisciplinary Journal

ER -

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

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Keywords / Materials (for Non-textual outputs)

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