Optimizing Qualification to U.S. Space Force Spacepower Disciplines
Abstract
Predictive Success Models (PSMs) were developed and evaluated to qualify USSF enlisted and officer applicants for spacepower disciplines. A PSM development strategy was employed, combining scores on cognitive aptitude tests with personality assessments, that considered both predicted training success and gender racial-ethnic diversity of qualified applicants as objectives. Specifically, PSMs incorporated scores on two personality assessments, the Tailored Adaptive Personality Assessment System (TAPAS; Stark et al., 2014) for enlisted applicants and the Self Descriptive Inventory (SDI; Woolley et al., 2022) for officer applicants, in addition to scores on the Armed Services Vocational Aptitude Battery (ASVAB) for enlisted and Air Force Officer Qualifying Test (AFOQT) for officers. Enlisted PSMs showed improvements over existing ASVAB-based qualification composites, with results varying by career field. Officer PSMs showed more limited improvements over existing AFOQT-based qualification composites. Projected impact analyses highlight specific improvements in predicted training success, qualification rates, and adverse impact ratios for females and racial-ethnic minority applicants when using PSMs in job qualification.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 31, 2023
- Accession Number
- AD1212816
Entities
People
- Carl Persing
- Michael Ingerick
- Oren R. Shewach
- Reese Butterfuss
- Thomas R. Carretta
Organizations
- Human Resources Research Organization