Accession Number:

ADA273880

Title:

Airman Applicant Prediction System (AAPS): Theory and Results

Descriptive Note:

Final rept. Feb 91-May 92,

Corporate Author:

METRICA INC SAN ANTONIO TX

Report Date:

1993-11-01

Pagination or Media Count:

44.0

Abstract:

The objective of this research effort was to design a models to estimate the impact of key demographic variables on individual and group accession behavior. This would provide personnel managers the ability to project the quality mix of future accessions and track the impact of this quality mix on enlisted retention behavior as these accessions advance through a military career. Six demographic groups were analyzed males, females, Caucasians, Blacks, others, and all. Within each demographic group, four aptitude groups were studied Armed Forces Qualifying Test AFQT Categories Is, IIs, IIas, and IIbs. The results of the modeling and estimation effort were implemented into the Airman Applicant Prediction System AAPS to predict the number of applicants from selected demographicaptitude groups. The estimated equations were used to predict the proportion of a Military Available MA population which would be interested in applying to the Air Force by AFQT Category. AAPS proceeds through a series of steps to arrive at population numbers for Interested Qualified Military Available IQMA. IQMA can then be disaggregated through the AAPS software to determine from the IQMA population who would potentially meet mechanical, administrative, general, and electronic MAGE minimum Armed Services Vocational Aptitude Battery ASVAB composite score requirements. Applicant prediction, Enlisted force projection model, Demographic applicant breakout, Military available

Subject Categories:

  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE