Intraclass Correlation Coefficients in Hierarchical Designs: Evaluation Using Latent Variable Modeling

Autor/in	Raykov, Tenko
Titel	Intraclass Correlation Coefficients in Hierarchical Designs: Evaluation Using Latent Variable Modeling
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 18 (2011) 1, S.73-90 (18 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
Schlagwörter	Correlation; Models; Vertical Organization; Predictor Variables; Computation; Methods; Error of Measurement; Hypothesis Testing + Suchen Sie Ihr Suchwort? Korrelation; Analogiemodell; Prädiktor; Method; Methode; Messfehler; Hypothesenprüfung; Hypothesentest
Abstract	Interval estimation of intraclass correlation coefficients in hierarchical designs is discussed within a latent variable modeling framework. A method accomplishing this aim is outlined, which is applicable in two-level studies where participants (or generally lower-order units) are clustered within higher-order units. The procedure can also be used to examine hypotheses about the intraclass correlation coefficient. The approach can be employed with multilevel models containing no predictors, as well with models including at least one higher level predictor. The method is applicable with widely available software, and complements existing literature on evaluation of intraclass correlation coefficients. The discussed approach is illustrated with an empirical example. (Contains 2 figures and 6 footnotes.) (As Provided).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10