5,650
Views
0
CrossRef citations to date
0
Altmetric
Teacher’s Corner

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

ORCID Icon, , , &
Pages 315-327 | Received 11 Apr 2022, Accepted 28 Jun 2022, Published online: 05 Aug 2022

References

  • Asparouhov, T., & Muthén, B. (2010). Bayesian analysis using Mplus: Technical implementation. Muthén & Muthén.
  • Asparouhov, T., & Muthén, B. (2021). Bayesian estimation of single and multilevel models with latent variable interactions. Structural Equation Modeling: A Multidisciplinary Journal, 28, 314–328. https://doi.org/10.1080/10705511.2020.1761808
  • Asparouhov, T., & Muthén, B. (2021). Advances in Bayesian model fit evaluation for structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 28, 1–14. https://doi.org/10.1080/10705511.2020.1764360
  • Biesanz, J. C. (2012). Autoregressive longitudinal models. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 459–471). Guilford Publications.
  • Borsboom, D., & Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608
  • Bracken, B. A. (2002). Bracken school readiness assessment: Administration manual. Psychological Corporation.
  • Capaldi, D. M. (1992). Co-occurrence of conduct problems and depressive symptoms in early adolescent boys: II. A 2-year follow-up at Grade 8. Development and Psychopathology, 4, 125–144. https://doi.org/10.1017/S0954579400005605
  • Carlson, G. A., & Cantwell, D. P. (1980). Unmasking masked depression in children and adolescents. The American Journal of Psychiatry, 137, 445–449. https://doi.org/10.1176/ajp.137.4.445.
  • Caspi, A., Houts, R. M., Ambler, A., Danese, A., Elliott, M. L., Hariri, A., Harrington, H., Hogan, S., Poulton, R., Ramrakha, S., Hartmann Rasmussen, L. J., Reuben, A., Richmond-Rakerd, L., Sugden, K., Wertz, J., Williams, B. S., & Moffitt, T. E. (2020). Longitudinal assessment of mental health disorders and comorbidities across 4 decades among participants in the Dunedin Birth Cohort Study. JAMA Network Open, 3, e203221–e203221. https://doi.org/10.1001/jamanetworkopen.2020.3221
  • Connelly, R., & Platt, L. (2014). Cohort profile: UK Millennium Cohort Study (MCS). International Journal of Epidemiology, 43, 1719–1725.
  • Depaoli, S., & van de Schoot, R. (2017). Improving transparency and replication in Bayesian statistics: The WAMBS-Checklist. Psychological Methods, 22, 240–261. https://doi.org/10.1037/met0000065
  • Devlieger, I., & Rosseel, Y. (2020). Multilevel factor score regression. Multivariate Behavioral Research, 55, 600–624. https://doi.org/10.1080/00273171.2019.1661817
  • Fite, P. J., Rubens, S. L., Preddy, T. M., Raine, A., & Pardini, D. A. (2014). Reactive/proactive aggression and the development of internalizing problems in males: The moderating effect of parent and peer relationships. Aggressive Behavior, 40, 69–78. https://doi.org/10.1002/ab.21498
  • Fuhrmann, D., van Harmelen, A. L., & Kievit, R. A. (2022). Well-being and cognition are coupled during development: A preregistered longitudinal study of 1,136 children and adolescents. Clinical Psychological Science, 10, 450–466. https://doi.org/10.1177/21677026211030211
  • Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2004). Bayesian data analysis (2nd ed.). Chapman & Hall.
  • Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 38, 581–586. https://doi.org/10.1111/j.1469-7610.1997.tb01545.x
  • Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., Muthén, B., Taylor, B., & Group, F. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study. Multivariate Behavioral Research, 53, 820–841. https://doi.org/10.1080/00273171.2018.1446819
  • Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20, 102–116. https://doi.org/10.1037/a0038889
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. https://doi.org/10.1080/10705519909540118
  • Hyun, J., Sliwinski, M. J., Almeida, D. M., Smyth, J. M., & Scott, S. B. (2018). The moderating effects of aging and cognitive abilities on the association between work stress and negative affect. Aging & Mental Health, 22, 611–618. https://doi.org/10.1080/13607863.2017.1299688
  • Kelcey, B., Cox, K., & Dong, N. (2021). Croon’s bias-corrected factor score path analysis for small- to moderate-sample multilevel structural equation models. Organizational Research Methods, 24, 55–77. https://doi.org/10.1177/1094428119879758
  • Kersten, P., Czuba, K., McPherson, K., Dudley, M., Elder, H., Tauroa, R., & Vandal, A. (2016). A systematic review of evidence for the psychometric properties of the Strengths and Difficulties Questionnaire. International Journal of Behavioral Development, 40, 64–75. https://doi.org/10.1177/0165025415570647
  • Koenen, K. C., Moffitt, T. E., Roberts, A. L., Martin, L. T., Kubzansky, L., Harrington, H., Poulton, R., & Caspi, A. (2009). Childhood IQ and adult mental disorders: A test of the cognitive reserve hypothesis. The American Journal of Psychiatry, 166, 50–57. https://doi.org/10.1176/appi.ajp.2008.08030343
  • Lannelongue, L., Grealey, J., Bateman, A., & Inouye, M. (2021). Ten simple rules to make your computing more environmentally sustainable. PLoS Computational Biology, 17, e1009324. https://doi.org/10.1371/journal.pcbi.1009324
  • MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19–40. https://doi.org/10.1037/1082-989x.7.1.19
  • Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22(3), 491–495. https://doi.org/10.1017/S0954579410000222
  • McNeish, D. (2016). On using Bayesian methods to address small sample problems. Structural Equation Modeling: A Multidisciplinary Journal, 23, 750–773. https://doi.org/10.1080/10705511.2016.1186549
  • McNeish, D., & Hamaker, E. L. (2020). A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. Psychological Methods, 25, 610–635. https://doi.org/10.1037/met0000250
  • Mulder, J. D., & Hamaker, E. L. (2021). Three extensions of the random intercept cross-lagged panel model. Structural Equation Modeling: A Multidisciplinary Journal, 28, 638–648. https://doi.org/10.1080/10705511.2020.1784738
  • Murray, A. L., Eisner, M., & Ribeaud, D. (2020). Within‐person analysis of developmental cascades between externalising and internalising problems. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 61, 681–688. https://doi.org/10.1111/jcpp.13150
  • Murray, A. L., Obsuth, I., Speyer, L., Murray, G., McKenzie, K., Eisner, M., & Ribeaud, D. (2021). Developmental cascades from aggression to internalizing problems via peer and teacher relationships from early to middle adolescence. Journal of Youth and Adolescence, 50, 663–673. https://doi.org/10.1007/s10964-021-01396-1
  • Murray, A. L., Speyer, L. G., Hall, H. A., Valdebenito, S., & Hughes, C. (2021). A longitudinal and gender invariance analysis of the strengths and difficulties questionnaire across ages 3, 5, 7, 11, 14, and 17 in a Large U.K.-representative sample. Assessment, 107319112110093. https://doi.org/10.1177/10731911211009312
  • Muthén, B. (2010). Bayesian analysis in Mplus: A brief introduction. Muthén & Muthén.
  • Muthén, L. K., & Muthén, B. (2018). Mplus. The comprehensive modelling program for applied researchers: User’s guide, 5. Muthén & Muthén.
  • Ozkok, O., Vaulont, M. J., Zyphur, M. J., Zhang, Z., Preacher, K. J., Koval, P., & Zheng, Y. (2021). Interaction effects in cross-lagged panel models: SEM with latent interactions applied to work-family conflict, job satisfaction, and gender. Organizational Research Methods, 109442812110437. https://doi.org/10.1177/10944281211043733
  • Preacher, K. J., Zhang, Z., & Zyphur, M. J. (2016). Multilevel structural equation models for assessing moderation within and across levels of analysis. Psychological Methods, 21, 189–205. https://doi.org/10.1037/met0000052
  • Riglin, L., Collishaw, S., Shelton, K. H., McManus, I. C., Ng-Knight, T., Sellers, R., Thapar, A. K., Frederickson, N., & Rice, F. (2016). Higher cognitive ability buffers stress-related depressive symptoms in adolescent girls. Development and Psychopathology, 28, 97–109. https://doi.org/10.1017/S0954579415000310
  • Rutter, M. (1979). Protective factors in children’s responses to stress and disadvantage. In M. W. Kent & J. E. Rolf (Eds.), Primary prevention psychopathology, Vol 3: Social competence in children (pp. 49–74). University of England Press.
  • Speyer, L. G., Obsuth, I., Ribeaud, D., Eisner, M., Luciano, M., Auyeung, B., & Murray, A. L. (2022). Mediating factors in within-person developmental cascades of externalising, internalising and ADHD Symptoms in Childhood. Reserach on Child and Adolescent Psychopathology. https://doi.org/10.1007/s10802-022-00905-5
  • Suveg, C., Shaffer, A., Morelen, D., & Thomassin, K. (2011). Links between maternal and child psychopathology symptoms: Mediation through child emotion regulation and moderation through maternal behavior. Child Psychiatry and Human Development, 42, 507–520. https://doi.org/10.1007/S10578-011-0223-8/TABLES/3.
  • van Kesteren, E.-J., & Oberski, D. L. (2019). Structural equation models as computation graphs. ArXiv:1905.04492 [Stat]. http://arxiv.org/abs/1905.04492
  • van Ravenzwaaij, D., Cassey, P., & Brown, S. D. (2018). A simple introduction to Markov Chain Monte–Carlo sampling. Psychonomic Bulletin & Review, 25, 143–154. https://doi.org/10.3758/s13423-016-1015-8
  • WHO (2018). WHO | Child and adolescent mental health. WHO.
  • Zitzmann, S., & Hecht, M. (2019). Going beyond convergence in Bayesian estimation: Why precision matters too and how to assess it. Structural Equation Modeling: A Multidisciplinary Journal, 26, 646–661. https://doi.org/10.1080/10705511.2018.1545232
  • Zitzmann, S., & Helm, C. (2021). Multilevel analysis of mediation, moderation, and nonlinear effects in small samples, using expected a posteriori estimates of factor scores. Structural Equation Modeling: A Multidisciplinary Journal, 28, 529–546. https://doi.org/10.1080/10705511.2020.1855076
  • Zitzmann, S., Weirich, S., & Hecht, M. (2021). Using the effective sample size as the stopping criterion in Markov Chain Monte Carlo with the Bayes Module in Mplus. Psych, 3, 336–347. https://doi.org/10.3390/psych3030025