Reliability Estimation in Longitudinal Studies Using Latent Growth Curve Modeling

Autor/in	Marcoulides, Katerina M.
Titel	Reliability Estimation in Longitudinal Studies Using Latent Growth Curve Modeling
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 17 (2019) 2, S.67-77 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2018.1522169
Schlagwörter	Reliability; Longitudinal Studies; Growth Models; Structural Equation Models; Error of Measurement; Computation; Data Analysis + Suchen Sie Ihr Suchwort? Reliabilität; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Messfehler; Auswertung
Abstract	Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of reliability of measurement change in the context of this method. The purpose of this article is to outline the common difficulties that arise when estimating reliability within the context of growth models and extend the notion of reliability to a more general modeling framework that takes into account the specifics of longitudinal data. To highlight the importance of focusing on reliability of measurement change in the context of latent growth curve modeling, empirical data are examined. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01