Concurrent Validation of the Adaptive Vocational Interest Diagnostic

Abstract

The Adaptive Vocational Interest Diagnostic (AVID) was developed to help recruits in the U.S. Army identify military occupational specialties (MOS) that match their interests. Initial research with the AVID demonstrated that this assessment is a valid predictor of Soldiers attitudes and performance in several MOS. The goal of the current research was to expand this previous work by examining the validity of the AVID in several new MOS and using a broader set of AVID dimensions. The data for this research were obtained from four samples of Active Duty Soldiers. In Sample 1, Soldiers were intentionally sampled from five different MOS and the validity of the AVID dimensions was compared across these occupations. In Samples 2 and 3, Soldiers from a large number of MOS were assessed and the validity of the AVID was examined in the full samples. Finally, in Sample 4, the validity of the AVID in a sample of Cyber Operators was examined. The results of these analyses indicated that the AVID has validity for predicting important military outcomes and differential validity across MOS. These findings provide additional evidence that the AVID may be useful for MOS assignment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2022
Accession Number
AD1166167

Entities

People

  • Christopher Nye
  • Cristina D. Kirkendall
  • Fritz Drasgow
  • James Rounds
  • Oleksandr S. Chernyshenko
  • Stephen Stark

Organizations

  • Drasgow Consulting Group

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Active Duty
  • Applied Psychology
  • Business Administration
  • Careers
  • Descriptive Analytics
  • Enlisted Personnel
  • Health Services
  • Human Resources
  • Management Personnel
  • Mathematics
  • Measurement
  • Mechanics
  • Military Research
  • Motivation
  • Personnel Management
  • Personnel Selection
  • Physical Activity
  • Psychology
  • Regression Analysis
  • Social Sciences
  • Statistics
  • Test And Evaluation
  • Training

Fields of Study

  • Psychology

Readers

  • Computer Engineering
  • Instructional Design and Training Evaluation.
  • Naval Personnel Management

Technology Areas

  • Cyber