GENERALIZABILITY OF WAIS-R FACTOR STRUCTURE WITHIN AND BETWEEN POPULATIONS.

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Bibliographic Details
Title: GENERALIZABILITY OF WAIS-R FACTOR STRUCTURE WITHIN AND BETWEEN POPULATIONS.
Authors: Atkinson, Leslie, Cyr, J. J., Doxey, N. C. S., Vigna, C. M.
Source: Journal of Clinical Psychology. Jan1989, Vol. 45 Issue 1, p124-129. 6p.
Subjects: Wechsler Adult Intelligence Scale, Brain damage, Factor analysis, Congruences & residues, Intelligence tests, Brain diseases
Abstract: We investigated the reliability of the factor structure of the Wechsler Adult Intelligence Scale-Revised (WAIS-R). The WAIS-R subtests, as administered to 146 head-injured males, were factor analyzed. Two- and three-factor solutions were extracted that were consistent with past findings. Congruence coefficients were computed to determine degree of association between factor structures from all samples reported in the literature. All coefficients were impressive. Also, congruence coefficients based on factor structures derived from different samples within the same population were compared to coefficients based on different samples from different populations. No significant discrepancies emerged. Apparently, the slight factor structure variation that does exist is due to chance data fluctuation rather than to systematic population bias. This reflects well on the robustness of the WAIFS-R factor structure. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
Description
Abstract:We investigated the reliability of the factor structure of the Wechsler Adult Intelligence Scale-Revised (WAIS-R). The WAIS-R subtests, as administered to 146 head-injured males, were factor analyzed. Two- and three-factor solutions were extracted that were consistent with past findings. Congruence coefficients were computed to determine degree of association between factor structures from all samples reported in the literature. All coefficients were impressive. Also, congruence coefficients based on factor structures derived from different samples within the same population were compared to coefficients based on different samples from different populations. No significant discrepancies emerged. Apparently, the slight factor structure variation that does exist is due to chance data fluctuation rather than to systematic population bias. This reflects well on the robustness of the WAIFS-R factor structure. [ABSTRACT FROM AUTHOR]
ISSN:00219762
DOI:10.1002/1097-4679(198901)45:1<124::AID-JCLP2270450119>3.0.CO;2-1