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

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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]
Copyright of Journal of Clinical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: GENERALIZABILITY OF WAIS-R FACTOR STRUCTURE WITHIN AND BETWEEN POPULATIONS.
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  Data: <searchLink fieldCode="AR" term="%22Atkinson%2C+Leslie%22">Atkinson, Leslie</searchLink><br /><searchLink fieldCode="AR" term="%22Cyr%2C+J%2E+J%2E%22">Cyr, J. J.</searchLink><br /><searchLink fieldCode="AR" term="%22Doxey%2C+N%2E+C%2E+S%2E%22">Doxey, N. C. S.</searchLink><br /><searchLink fieldCode="AR" term="%22Vigna%2C+C%2E+M%2E%22">Vigna, C. M.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Psychology%22">Journal of Clinical Psychology</searchLink>. Jan1989, Vol. 45 Issue 1, p124-129. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Wechsler+Adult+Intelligence+Scale%22">Wechsler Adult Intelligence Scale</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+damage%22">Brain damage</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Congruences+%26+residues%22">Congruences & residues</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligence+tests%22">Intelligence tests</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+diseases%22">Brain diseases</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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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  Data: <i>Copyright of Journal of Clinical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/1097-4679(198901)45:1<124::AID-JCLP2270450119>3.0.CO;2-1
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      – Code: eng
        Text: English
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        StartPage: 124
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        Type: general
      – SubjectFull: Brain damage
        Type: general
      – SubjectFull: Factor analysis
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      – SubjectFull: Congruences & residues
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      – SubjectFull: Intelligence tests
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      – SubjectFull: Brain diseases
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              Text: Jan1989
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              Y: 1989
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