Selection between Linear Factor Models and Latent Profile Models Using Conditional Covariances

Autor/inn/en	Halpin, Peter F.; Maraun, Michael D.
Titel	Selection between Linear Factor Models and Latent Profile Models Using Conditional Covariances
Quelle	In: Multivariate Behavioral Research, 45 (2010) 6, S.910-934 (25 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Models; Selection; Vocational Evaluation; Developmental Psychology; Statistical Analysis; Sample Size; Error of Measurement; Cognitive Tests; Armed Services Vocational Aptitude Battery + Suchen Sie Ihr Suchwort? Analogiemodell; Auslese; Entwicklungspsychologie; Statistische Analyse; Messfehler; Kognitiver Fähigkeitstest
Abstract	A method for selecting between K-dimensional linear factor models and (K + 1)-class latent profile models is proposed. In particular, it is shown that the conditional covariances of observed variables are constant under factor models but nonlinear functions of the conditioning variable under latent profile models. The performance of a convenient inferential method suggested by the main result is examined via data simulation and is shown to have acceptable error rate control when deciding between the 2 types of models. The proposed test is illustrated using examples from vocational assessment and developmental psychology. (Contains 4 figures, 8 tables and 1 footnote.) (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