Bifactor Structure of the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition

Autor/inn/en	Watkins, Marley W.; Beaujean, A. Alexander
Titel	Bifactor Structure of the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition
Quelle	In: School Psychology Quarterly, 29 (2014) 1, S.52-63 (12 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1045-3830
DOI	10.1037/spq0000038
Schlagwörter	Preschool Children; Intelligence Tests; Factor Structure; Factor Analysis; Robustness (Statistics); Goodness of Fit; Scores; Rating Scales; Test Reliability; Wechsler Preschool and Primary Scale of Intelligence + Suchen Sie Ihr Suchwort? Pre-school age; Preschool age; Child; Children; Pre-school education; Preschool education; Vorschulalter; Kind; Kinder; Vorschulkind; Vorschulkinder; Vorschulerziehung; Vorschule; Intelligence test; Intelligenztest; Faktorenstruktur; Faktorenanalyse; Widerstandsfähigkeit; Rating-Skala; Testreliabilität
Abstract	The Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition (WPPSI-IV; Wechsler, 2012) represents a substantial departure from its predecessor, including omission of 4 subtests, addition of 5 new subtests, and modification of the contents of the 5 retained subtests. Wechsler (2012) explicitly assumed a higher-order structure with general intelligence ("g") as the second-order factor that explained all the covariation of several first-order factors but failed to consider a bifactor model. The WPPSI-IV normative sample contains 1,700 children aged 2 years and 6 months through 7 years and 7 months, bifurcated into 2 age groups: 2:6-3:11 year olds (n = 600) and 4:0-7:7 year olds (n = 1,100). This study applied confirmatory factor analysis to the WPPSI-IV normative sample data to test the fit of a bifactor model and to determine the reliability of the resulting factors. The bifactor model fit the WPPSI-IV normative sample data as well as or better than the higher-order models favored by Wechsler (2012). In the bifactor model, the general factor accounted for more variance in every subtest than did its corresponding domain-specific factor and the general factor accounted for more total and common variance than all domain-specific factors combined. Further, the domain-specific factors exhibited poor reliability independent of "g" (i.e., ?[subscript h] coefficients of 0.05 to 0.33). These results suggest that only the general intelligence dimension was sufficiently robust and precise for clinical use. (Contains 2 tables and 3 figures.) (As Provided).
Anmerkungen	American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01