1992
Abstract: FACTREL relates factors from two studies with the same variables using Kaiser, Hunka, and Bianchini's (1971) method. Both test and factor vectors for the two sets are placed in a common space, then one is rotated to maximize the sum of the row cross-products of loadings between the sets, with the resulting cosines between factor axes serving as the primary measures. Cosines between corresponding tests are also computed, as is their average. This method of relating factors is potentially useful in meta-analytic…
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Cited by 4 publications
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“…After obtaining the factor analytic results by race/ethnicity, the equivalence of factor structures across racial/ethnic groups was determined using a method proposed by Kaiser, Hunka, and Bianchini (1971) and implemented by Fleming (1992). The Kaiser method was selected in the present study because it is a well-established method that has a commonly accepted criterion for matching.…”
Section: Resultsmentioning
confidence: 99%
“…After obtaining the factor analytic results by race/ethnicity, the equivalence of factor structures across racial/ethnic groups was determined using a method proposed by Kaiser, Hunka, and Bianchini (1971) and implemented by Fleming (1992). The Kaiser method was selected in the present study because it is a well-established method that has a commonly accepted criterion for matching.…”
Section: Resultsmentioning
confidence: 99%
“…The early 1990s saw creative and rigorous advances toward MASEM techniques that inspired the present special issue. Among the earliest methodological proposals for MASEM were Thompson's () strategy for comparing factor‐structure estimates among studies (see also Bushman, Cooper, & Lemke, ; Fleming, ) and B. J. Becker's (, ) techniques for synthesizing sample correlation matrices and transforming the resulting correlation‐matrix estimate to that of a regression or path model (see also B. J. Becker & Schram, ). Viswesvaran and Ones () outlined steps and discussed various issues in applying MASEM to more general structural equation models.…”
Section: Methodological Contextmentioning
confidence: 99%
“…After obtaining the factor-analytic results for each language, we determined the extent to which the factor structures were equivalent across the different languages. Paralleling the prior work of Kim and colleagues (2011), we used the method proposed by Kaiser and colleagues (1971) and implemented by Fleming (1992). The Kaiser method was chosen because it is well -established; has an accepted criterion for determining equivalence; and has a software implementation.…”
Section: Global Comparisons Of the Gds Factor Structures Between Langmentioning
confidence: 99%
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