Multilevel Factor Models for Ordinal Variables

Autor/inn/en	Grilli, Leonardo; Rampichini, Carla
Titel	Multilevel Factor Models for Ordinal Variables
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 14 (2007) 1, S.1-25 (25 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
DOI	10.1207/s15328007sem1401_1
Schlagwörter	Job Satisfaction; Maximum Likelihood Statistics; Computation; Models; Factor Analysis; Graduates + Suchen Sie Ihr Suchwort? Labor; Labour; Satisfaction; Arbeit; Zufriedenheit; Analogiemodell; Faktorenanalyse; Graduate; Absolvent; Absolventin; Hochschulabsolvent; Hochschulabsolventin
Abstract	This article tackles several issues involved in specifying, fitting, and interpreting the results of multilevel factor models for ordinal variables. First, the problem of model specification and identification is addressed, outlining parameter interpretation. Special attention is devoted to the consequences on interpretation stemming from the usual choice of not decomposing the specificities into hierarchical components. Then a general strategy of analysis is outlined, highlighting the role of the exploratory steps. The theoretical topics are illustrated through an application to graduates' job satisfaction, where estimation is based on maximum likelihood via an Expectation-Maximization algorithm with adaptive quadrature. (Author).
Anmerkungen	Lawrence Erlbaum Associates, Inc. 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579; Tel: 201-258-2200; Fax: 201-236-0072; e-mail: journals@erlbaum.com; Web site: https://www.LEAonline.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10