Investigating Army Officer Classification: Validation and Utility of Pre-Commissioning Metrics to Enhance Junior Officer Performance

Abstract

The U.S. Army Cadet Command (USACC) uses a multi-step process to assign newly commissioned officers to specific branches. This branching process incorporates numerous metrics and dynamics (e.g., USACC Cadet Outcome Metric Score, OMS), cadet branch preference, gender and ethnic branch distributions, and operational requirements). The U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) conducted research to simulate the USACC branching process and model the use of pre-commissioning and non-cognitive metrics to improve junior officer performance and career continuance. To create the simulation, ARI validated pre-commissioning and non-cognitive metrics against officer performance and continuance indices that were collected two to eight years later. Predictor data included: pre-commissioning metrics such as USACC Cadet OMS and its component scores; as well as non-cognitive metrics derived from the Cadet Background and Experience Form (CBEF) scales, the Leader Knowledge Test (LKT), and the Work Values Inventory (WVI). Criteria included supervisor ratings of officer in-unit performance as well as archival data. The validity analyses based on approximately 2000 officers quantified the potential of cadet pre-commissioning and non-cognitive metrics to predict long-term officer performance, and the simulation analyses demonstrated that this information can be used to improve junior officer performance by better matching cadet characteristics with officer branch requirements.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1156349

Entities

People

  • Laura A. Ford
  • Marck C Young
  • Peter J. Legree
  • Robert N. Kilcullen
  • Teresa L. Russell

Organizations

  • Human Resources Research Organization

Tags

Communities of Interest

  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Army Personnel
  • Artillery
  • Bayesian Networks
  • Data Science
  • Databases
  • Factor Analysis
  • Health Services
  • Information Science
  • Management Personnel
  • Personnel Management
  • Psychology
  • Regression Analysis
  • Social Sciences
  • Students
  • Surveys
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Military Leadership and Professional Education.
  • Psychometric Testing or Psychological Assessment.