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Factor analysis of Strong Vocational Interest Blank items

Factor analysis of Strong Vocational Interest Blank items Attempted to identify independent interest dimensions that were equivalent across different S samples, as a first step toward mapping the vocational interest domain. The responses to 347 female form items and 357 male form items from the SVIB were obtained, using the appropriate form for the following 5 single-sex samples: women in general, men in general, female occupational, male occupational, and male rehabilitation client ( s = 1,000; 1,000; 2,500; 3,600, and 1,874, respectively). The SVIB items were intercorrelated separately for each sample and the correlation matrices were factored by a principal axes technique, using the highest off-diagonal correlations as communality estimates with rotation to a varimax criterion. Factors between same-sex samples were compared using Tucker's coefficient of congruence. The analyses resulted in 11–23 factors, depending on the sample, of which 9 and 8 were judged to be equivalent across the 2 female and 3 male samples, respectively. (38 ref) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Psychology PsycARTICLES®

Factor analysis of Strong Vocational Interest Blank items

Abstract

Attempted to identify independent interest dimensions that were equivalent across different S samples, as a first step toward mapping the vocational interest domain. The responses to 347 female form items and 357 male form items from the SVIB were obtained, using the appropriate form for the following 5 single-sex samples: women in general, men in general, female occupational, male occupational, and male rehabilitation client ( s = 1,000; 1,000; 2,500; 3,600, and 1,874, respectively). The SVIB items were intercorrelated separately for each sample and the correlation matrices were factored by a principal axes technique, using the highest off-diagonal correlations as communality estimates with rotation to a varimax criterion. Factors between same-sex samples were compared using Tucker's coefficient of congruence. The analyses resulted in 11–23 factors, depending on the sample, of which 9 and 8 were judged to be equivalent across the 2 female and 3 male samples, respectively. (38 ref)
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