Job Knowledge Test Design: A Cognitively-Oriented Approach

Abstract

This report describes the application of cognitive methods to the measurement of performance using tests of job knowledge. The research goal is to improve the usefulness of job knowledge tests as a proxy for hands-on performance. The approach involves employing cognitive science methods to identify important knowledge content relevant to successful job performance, which may be missed by existing test development procedures. In an application to testing land navigation knowledge of U.S. Marines, the results suggest that cognitively-oriented job knowledge tests show improved correspondence with hands-on measures of performance, compared to existing content-oriented test development procedures. These results appear promising for the economical adaptation of cognitive methods to applications in performance measurement, training assessment, and training program evaluation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1993
Accession Number
ADA267303

Entities

People

  • David Dubois
  • Keith Levi
  • Valerie Shalin
  • Walter Borman

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Artificial Intelligence
  • Bayesian Networks
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computers
  • Information Processing
  • Information Science
  • Job Analysis
  • Neural Networks
  • Pattern Recognition
  • Performance Tests
  • Probability
  • Psychology
  • Reasoning
  • Students

Readers

  • Psychometric Testing or Psychological Assessment.
  • Systems Analysis and Design