Accession Number : AD0754966

Title :   Predicting Civilian Position Grades from Occupational and Background Data,

Corporate Author : AIR FORCE HUMAN RESOURCES LAB BROOKS AFB TEX

Personal Author(s) : Carpenter,James B. ; Christal,Raymond E.

Report Date : MAR 1972

Pagination or Media Count : 21

Abstract : A job analysis inventory was administered to civilian Air Force employees in the accounting and finance career field. Task performance data, provided by 5,484 job incumbents in seven General Schedule (GS) series, were analyzed using multiple regression techniques. The data were found to be highly predictive of the GS grade authorized for the position. Reported correlations are of a sufficient magnitude to suggest that knowledge of specific tasks performed can be used as a stable predictor of appropriate grade. Additionally, the data indicate that factors unrelated to job requirements, such as the incumbent's sex, age, or marital status, and unique job characteristics, such as geographical location and command to which assigned, do not act as a significant source of bias in grade determinations. In general, both the stability and the objectivity of existing civil service grade classifications are strongly supported. (Author)

Descriptors :   (*CIVILIAN PERSONNEL, *JOB ANALYSIS), (*EMPLOYMENT, CLASSIFICATION), MATHEMATICAL PREDICTION, REGRESSION ANALYSIS, PERFORMANCE(HUMAN), AIR FORCE PERSONNEL, CORRELATION TECHNIQUES, BACKGROUND

Subject Categories : Personnel Management and Labor Relations

Distribution Statement : APPROVED FOR PUBLIC RELEASE