The Optimal Starting Model to Search for the Accurate Growth Trajectory in Latent Growth Models

dc.contributor.authorKim, Minjung
dc.contributor.authorHsu, Hsien-Yuan
dc.contributor.authorKwok, Oi-Man
dc.contributor.authorSeo, Sunmi
dc.contributor.otherOhio State University
dc.contributor.otherUniversity of Texas Health Science Center Houston
dc.contributor.otherTexas A&M University College Station
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T21:05:45Z
dc.date.available2023-09-28T21:05:45Z
dc.date.issued2018
dc.description.abstractThis simulation study aims to propose an optimal starting model to search for the accurate growth trajectory in Latent Growth Models (LGM). We examine the performance of four different starting models in terms of the complexity of the mean and within-subject variance-covariance(V-CV) structures when there are time-invariant covariates embedded in the population models. Results showed that the model search starting with the fully saturated model (i.e., the most complex mean and within-subject V-CV model) recovers best for the true growth trajectory in simulations. Specifically, the fully saturated starting model with using Delta BIC and Delta AIC performed best (over 95%) and recommended for researchers. An illustration of the proposed method is given using the empirical secondary dataset. Implications of the findings and limitations are discussed.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationKim, M., Hsu, H.-Y., Kwok, O., & Seo, S. (2018). The Optimal Starting Model to Search for the Accurate Growth Trajectory in Latent Growth Models. In Frontiers in Psychology (Vol. 9). Frontiers Media SA. https://doi.org/10.3389/fpsyg.2018.00349
dc.identifier.doi10.3389/fpsyg.2018.00349
dc.identifier.orcidhttps://orcid.org/0000-0002-4617-4562
dc.identifier.urihttps://ir.ua.edu/handle/123456789/12009
dc.languageEnglish
dc.language.isoen_US
dc.publisherFrontiers
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectlatent growth models
dc.subjectlatent curve models
dc.subjectgrowth analysis
dc.subjectmodel selection
dc.subjectspecification search
dc.subjectstarting model
dc.subjectmodel building
dc.subjectgrowth curve
dc.subjectLINEAR MIXED-MODEL
dc.subjectACCULTURATIVE STRESS
dc.subjectFIT INDEXES
dc.subjectGENDER
dc.subjectSENSITIVITY
dc.subjectSELECTION
dc.subjectPsychology, Multidisciplinary
dc.titleThe Optimal Starting Model to Search for the Accurate Growth Trajectory in Latent Growth Modelsen_US
dc.typeArticle
dc.typetext
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