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Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective

Published online by Cambridge University Press:  01 January 2025

Ihnwhi Heo
Affiliation:
University of California, Merced
Fan Jia
Affiliation:
University of California, Merced
Sarah Depaoli
Affiliation:
University of California, Merced

Abstract

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Type
Book Review
Copyright
Copyright © 2022 The Author(s) under exclusive licence to The Psychometric Society

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References

Depaoli, S.Mixture class recovery in GMM under varying degrees of class separation: Frequentist versus Bayesian estimation.Psychological Methods,(2013).18(2),186219.CrossRefGoogle ScholarPubMed
Depaoli, S.(2021).Bayesian structural equation modeling,New York:Guilford Press.Google Scholar
Enders, C. K.(2022).Applied missing data analysis,2New York:Guilford Press.Google Scholar
Geiser, C.(2012).Data analysis with Mplus,New York:Guilford Press.Google Scholar
Graham, J. W.Missing data analysis: Making it work in the real world.(2009).Annual Review of Psychology,60,549576.CrossRefGoogle ScholarPubMed
Kaplan, D.(2014).Bayesian statistics for the social sciences,New York:Guilford Press.Google Scholar
Nicholson, J. S.,Deboeck, P. R., &Howard, W.Attrition in developmental psychology: A review of modern missing data reporting and practices.(2017).International Journal of Behavioral Development,41(1),143153.CrossRefGoogle Scholar
Smid, S. C.,Depaoli, S., &Van De Schoot, R.Predicting a distal outcome variable from a latent growth model: ML versus Bayesian estimation.(2020).Structural Equation Modeling: A Multidisciplinary Journal,27(2),169191.CrossRefGoogle Scholar
Steyer, R.,Ferring, D., &Schmitt, M. J.(1992).States and traits in psychological assessment.European Journal of Psychological Assessment,8(2),7998.Google Scholar
Steyer, R.,Mayer, A.,Geiser, C., &Cole, D. A.A theory of states and traits-revised.(2015).Annual Review of Clinical Psychology,11(1),7198.CrossRefGoogle ScholarPubMed
Steyer, R.,Schmitt, M., &Eid, M.(1999).Latent state-trait theory and research in personality and individual differences.European Journal of Personality,13(5),389408.3.0.CO;2-A>CrossRefGoogle Scholar
van Buuren, S.(2018).Flexible imputation of missing data,2Boca Raton:CRC PressCrossRefGoogle Scholar
van de Schoot, R.,Depaoli, S.,King, R.,Kramer, B.,Märtens, K.,Tadesse, M. G., &Yau, C.(2021).Bayesian statistics and modelling.Nature Reviews Methods Primers,1(1),126.CrossRefGoogle Scholar
Wu, W., &Jia, F.(2021).Applying planned missingness designs to longitudinal panel studies in developmental science: An overview.New Directions for Child and Adolescent Development,2021(175),3563.CrossRefGoogle ScholarPubMed