Army Talent Attribute Framework - FY24 Annual Updates Using a Mixed Methods Research Design
Abstract
The Army Talent Attribute Framework (ATAF) was developed by the Army Research Institute for the Behavioral and Social Sciences (ARI) and Army Talent Management Task Force (ATMTF) to create a universal, standardized taxonomy of the knowledge, skills, and behaviors (KSBs) required of Army personnel. The ATAF consists of three hierarchical tiers: (I) Talent Domains, (II) Talents, and (III) KSBs and is a critical baseline for a modernized, data-driven talent management system that increases Army readiness, guides strategic workforce planning, and reduces talent gaps. The ATAF has been adopted as a common lexicon used in all aspects of the Army People Strategy's (2019a) data-driven talent management processes. It is also being used in the Integrated Personnel and Pay System - Army (IPPS-A) and Assignment Interactive Module 2 (AIM2). To ensure the ATAF continues to support an up-to-date and effective personnel system, ATMTF and ARI have planned and implemented annual review cycles. This report documents ATAF refinements made during the FY24 review cycle that will ensure continued scientific rigor and increase utility for talent management, as informed by an exploratory sequential mixed method research design. Qualitative data was collected from subject matter experts (SMEs) who extensively reviewed the ATAF, including KSB definitions and labels. Thematic analysis was used to evaluate this qualitative feedback. To explore KSBs suggested as overlapping, researchers examined Pearson correlations between KSBs using job analysis data obtained from officers, warrant officers, and noncommissioned officers. Based on these results, we provide recommendations for KSB refinement and consolidation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2023
- Accession Number
- AD1210982
Entities
People
- David R. Glerum
- Rachel C. Amey
- Ryan P. Royston
Organizations
- U.S. Army Research Institute for the Behavioral and Social Sciences