Accession Number : ADP001295

Title :   Empirical Bayes Assessment of Differential Validity.


Personal Author(s) : Braun,Henry I. ; Jones,Douglas H.

Report Date : 1981

Pagination or Media Count : 10

Abstract : An important problem in the assessment of test validity arises when the population under consideration consists of several distinct subgroups distributed in varying proportions across a number of training sites or programs. Separate prediction equations for each group at each site may be required, particularly if there is evidence of differential validity. The authors describe and illustrate a technique, based on the empirical Bayes paradigm, which provides estimates of the different prediction equations even when the members of a particular group are sparsely scattered across sites so that unique least squares estimates are not available. There is no limit to the number of groups, sites, or explanatory variables that can be considered.

Descriptors :   *Predictions, *Management training, *Mathematical prediction, Validation, Quality, Bias, Reduction, Students, Selection, Minorities, Symposia

Distribution Statement : APPROVED FOR PUBLIC RELEASE