Multiplicative validity generalization model: Accuracy of estimates as a function of sample size and mean, variance, and shape of distribution of true validities. |
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Authors: | Callender, John C. Osburn, H. G. Greener, Jack M. Ashworth, Steven |
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Abstract: | Used simulation techniques to study the accuracy of estimates of the mean, variance, and lower credibility value of true validities produced by the independent multiplicative model and by a modified dependent model that takes the correlation between range restriction and criterion reliability artifacts into account. Sample sizes (n?=?50 or 100) and the number of studies/analyses (50) were selected to be consistent with the typical parameters found in 129 validity generalization analyses. The mean, standard deviation, and shape of the true validity distributions were systematically varied. It is concluded that the independent and modified dependent estimates were typically accurate, although the credibility estimates were affected by the extremely skewed distributions. The mean and variance estimates from both models were not affected by distribution shape. Results support the applicability of the 1st 2 authors' (see record 1981-27033-001) models and F. L. Schmidt and J. E. Hunter's (see record 1978-11448-001) noninteractive model. Some limitations of the "bare-bones" sampling-error-only approach are noted. (9 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved) |
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