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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models. / Speyer, Lydia; Ushakova, Anastasia; Blakemore, Sarah-Jayne et al.
In: Structural Equation Modeling, Vol. 30, No. 2, 31.03.2023, p. 315-327.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Speyer, L, Ushakova, A, Blakemore, S-J, Murray, AL & Kievit, R 2023, 'Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models', Structural Equation Modeling, vol. 30, no. 2, pp. 315-327. https://doi.org/10.1080/10705511.2022.2096613

APA

Speyer, L., Ushakova, A., Blakemore, S.-J., Murray, A. L., & Kievit, R. (2023). Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models. Structural Equation Modeling, 30(2), 315-327. https://doi.org/10.1080/10705511.2022.2096613

Vancouver

Speyer L, Ushakova A, Blakemore SJ, Murray AL, Kievit R. Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models. Structural Equation Modeling. 2023 Mar 31;30(2):315-327. Epub 2022 Aug 5. doi: 10.1080/10705511.2022.2096613

Author

Speyer, Lydia ; Ushakova, Anastasia ; Blakemore, Sarah-Jayne et al. / Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models. In: Structural Equation Modeling. 2023 ; Vol. 30, No. 2. pp. 315-327.

Bibtex

@article{fdfec2c272034a6daccdb8e337dbfb20,
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.",
keywords = "Conduct problems, Emotional problems, Millennium cohort study, Moderation, RI-CLPM",
author = "Lydia Speyer and Anastasia Ushakova and Sarah-Jayne Blakemore and Murray, {Aja Louise} and Rogier Kievit",
year = "2023",
month = mar,
day = "31",
doi = "10.1080/10705511.2022.2096613",
language = "English",
volume = "30",
pages = "315--327",
journal = "Structural Equation Modeling",
issn = "1070-5511",
publisher = "Psychology Press Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models

AU - Speyer, Lydia

AU - Ushakova, Anastasia

AU - Blakemore, Sarah-Jayne

AU - Murray, Aja Louise

AU - Kievit, Rogier

PY - 2023/3/31

Y1 - 2023/3/31

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 - Conduct problems

KW - Emotional problems

KW - Millennium cohort study

KW - Moderation

KW - RI-CLPM

U2 - 10.1080/10705511.2022.2096613

DO - 10.1080/10705511.2022.2096613

M3 - Journal article

VL - 30

SP - 315

EP - 327

JO - Structural Equation Modeling

JF - Structural Equation Modeling

SN - 1070-5511

IS - 2

ER -