Testing Cognitive Behavior With Emphasis on Analytical Propensity of Service Members

Abstract

The focus of this project was to apply research and modeling to inform future development of selection criteria and mechanisms for Army intelligence analysts. Our goals were to identify the cognitive attributes required for effective intelligence analysis and quantify the relationship of individual differences in those attributes and system-level performance. Our approach included two primary efforts: (1) a review of the scientific literature and research reports and (2) development of a task network model of the all-source intelligence analyst function. The outcomes of the literature review and modeling efforts are a set of actionable recommendations that could be taken to improve the performance of the Military Occupational Specialty 35F all-source intelligence analyst.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA563440

Entities

People

  • John Jacobs
  • Lila Laux
  • Shaun Hutchins
  • Steven Peters
  • Tim Bowden

Organizations

  • Alion Science and Technology

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Army Intelligence
  • Brain
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Programming
  • Human Factors Engineering
  • Intelligence Analysis
  • Intelligence Community (United States)
  • Intelligence Cycle
  • Military Intelligence
  • National Security
  • Psychology
  • Reasoning
  • Task Performance And Analysis
  • Test And Evaluation

Readers

  • Life Cycle Cost Analysis
  • Organizational Process Management (OPM).
  • Psychometric Testing or Psychological Assessment.