Bayesian Johnson-Neyman methodology was used to investigate differential prediction by race in U.S. Air Force training programs. Meaningful differences were found in eight of nine comparisons. The setting of the cutting scores had an effect on whether the bias was positive or negative for Blacks. (Author/GDC)

A study investigated the roles of general ability and specific abilities as predictors of several job performance criteria for Air Force enlistees in eight jobs. Subjects were 1,545 Air Force enlistees entering from 1984 through 1988 who had tested with the Armed Services Vocational Aptitude Battery (ASVAB) parallel forms 11, 12, or 13. Subjects…

Since 1993 and 1994, significant changes in legislation and policy allow women to fly combat aircraft, serve on combat ships, and serve in combat-related occupations. As was the case in the early 1990s, a large percentage of military women continue to work in the areas of health care, administration, personnel, and supply occupations. However,…

A multivariate modeling approach was developed to assess the impact of changes in aptitude requirement minimums on U.S. Air Force technical training outcomes. Initially, interviews were conducted with technical training personnel to identify significant student inputs, course content, and training outcome variables. Measures of these variables…