How to Model Intraindividual Change in Cohort Data Using Mplus' Multi-Group Approach

Autor/inn/en	Gniewosz, Burkhard; Gniewosz, Gabriela
Titel	How to Model Intraindividual Change in Cohort Data Using Mplus' Multi-Group Approach
Quelle	In: International Journal of Behavioral Development, 42 (2018) 3, S.373-380 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0165-0254
DOI	10.1177/0165025417750282
Schlagwörter	Models; Data; Behavior Problems; Children; Age Groups; Data Collection; Foreign Countries; Student Surveys; Questionnaires; Screening Tests; Child Behavior; Structural Equation Models; Predictor Variables; Longitudinal Studies; Cohort Analysis; Gender Differences; Germany; Strengths and Difficulties Questionnaire + Suchen Sie Ihr Suchwort? Analogiemodell; Daten; Child; Kind; Kinder; Age grop; Altersgruppe; Data capture; Datensammlung; Ausland; Schülerbefragung; Fragebogen; Screening-Verfahren; Prädiktor; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Kohortenanalyse; Geschlechterkonflikt; Deutschland
Abstract	The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and predicted by gender. The example data stems from a large German cohort sequential study and comprises 806 children in three birth cohorts (2001, 2000, 1999). Finally, the advantages and disadvantages of this modelling approach are discussed. Annotated syntax is provided online for the models. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01