The Consequence of Ignoring a Level of Nesting in Multilevel Analysis

Autor/in	Moerbeek, Mirjam
Titel	The Consequence of Ignoring a Level of Nesting in Multilevel Analysis
Quelle	In: Multivariate Behavioral Research, 39 (2004) 1, S.129-149 (21 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Data Analysis; Predictor Variables; Computation; Statistical Analysis; Models + Suchen Sie Ihr Suchwort? Auswertung; Prädiktor; Statistische Analyse; Analogiemodell
Abstract	Multilevel analysis is an appropriate tool for the analysis of hierarchically structured data. There may, however, be reasons to ignore one of the levels of nesting in the data analysis. In this article a three level model with one predictor variable is used as a reference model and the top or intermediate level is ignored in the data analysis. Analytical results show that this has an effect on the estimated variance components and that standard errors of regression coefficients estimators may be overestimated, leading to a lower power of the test of the effect of the predictor variable. The magnitude of these results depends on the ignored level and the level at which the predictor variable varies, and on the values of the variance components and the sample sizes. (Author).
Anmerkungen	Lawrence Erlbaum Associates, Inc., Journal Subscription Department, 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579 (Toll Free); e-mail: journals@erlbaum.com.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10