Orthogonal Higher Order Structure and Confirmatory Factor Analysis of the French Wechsler Adult Intelligence Scale (WAIS-III)

Autor/inn/en	Golay, Philippe; Lecerf, Thierry
Titel	Orthogonal Higher Order Structure and Confirmatory Factor Analysis of the French Wechsler Adult Intelligence Scale (WAIS-III)
Quelle	In: Psychological Assessment, 23 (2011) 1, S.143-152 (10 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1040-3590
DOI	10.1037/a0021230
Schlagwörter	Adults; Intelligence Tests; Measures (Individuals); Factor Analysis; French; Foreign Countries; Goodness of Fit; Models; Test Validity; Scores; Factor Structure; Memory; Vocabulary; Comprehension; Short Term Memory; Verbal Ability; Arithmetic; Cognitive Processes; France; Wechsler Adult Intelligence Scale + Suchen Sie Ihr Suchwort? Intelligence test; Intelligenztest; Messdaten; Faktorenanalyse; Französisch; Ausland; Analogiemodell; Testvalidität; Faktorenstruktur; Gedächtnis; Wortschatz; Verstehen; Verständnis; Kurzzeitgedächtnis; Mündliche Leistung; Addition; Arithmetik; Arithmetikunterricht; Rechnen; Cognitive process; Kognitiver Prozess; Frankreich
Abstract	According to the most widely accepted Cattell-Horn-Carroll (CHC) model of intelligence measurement, each subtest score of the Wechsler Intelligence Scale for Adults (3rd ed.; WAIS-III) should reflect both 1st- and 2nd-order factors (i.e., 4 or 5 broad abilities and 1 general factor). To disentangle the contribution of each factor, we applied a Schmid-Leiman orthogonalization transformation (SLT) to the standardization data published in the French technical manual for the WAIS-III. Results showed that the general factor accounted for 63% of the common variance and that the specific contributions of the 1st-order factors were weak (4.7%-15.9%). We also addressed this issue by using confirmatory factor analysis. Results indicated that the bifactor model (with 1st-order group and general factors) better fit the data than did the traditional higher order structure. Models based on the CHC framework were also tested. Results indicated that a higher order CHC model showed a better fit than did the classical 4-factor model; however, the WAIS bifactor structure was the most adequate. We recommend that users do not discount the Full Scale IQ when interpreting the index scores of the WAIS-III because the general factor accounts for the bulk of the common variance in the French WAIS-III. The 4 index scores cannot be considered to reflect only broad ability because they include a strong contribution of the general factor. (Contains 3 figures and 2 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10