Preliminary Assessment of Selected Predictors of Special Forces Qualification Course Success

Abstract

This report describes a follow-up research effort designed to examine the predictive utility of selected measures of intelligence (Wonderlic Personnel Test - WPT), personality (Jackson Personality Inventory - JPI), and biographical information in predicting the successful completion of Phase I of the Special Forces Qualification course (SFQC). Intelligence, personality, and biographical measures were obtained from 293 soldiers attending Phase I of the SFQC at Fort Bragg, NC. The relationships between two of the selected predictor measures, WPT, and JPI and the Phase I performance criteria were assessed through a correlation-multiple regression strategy. Predictive utility was assessed using a discriminant analysis procedure. Intelligence (WPI) correlated significantly with overall Phase I status and four JIP scales: Energy Level, Anxiety, Risk Taking and Infrequency. The results further suggested that SF candidates who have had prior specialized training emphasizing land navigation, map reading, and patrolling (e.g., Ranger, Reconnaissance, Jungle Warfare) are likely to be much better prepared to complete Phase I successfully than those candidates who have not had such training. (SDW)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA213201

Entities

People

  • Howard L. Allentoff
  • Robert J. Pleban
  • Thomas J. Thompson

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Attrition
  • Energy Levels
  • Land Navigation
  • Military Research
  • Minority Groups
  • Navigation
  • Personnel Management
  • Personnel Selection
  • Physical Fitness
  • Psychology
  • Security
  • Social Sciences
  • Special Forces
  • Students
  • Training
  • Unconventional Warfare
  • Warfare

Readers

  • Instructional Design and Training Evaluation.
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Regression Analysis.