Modeling the Individual Enlistment Decision. Phase 1

Abstract

This research note reviews the findings of PAR's effort in modeling phase one of the enlistment decision. The note includes a brief review of Tasks One and Two (a literature review of decision models applicable to the individual enlistment decision, and the empirical assessment of pre-decisional processes involved in the enlistment decision, respectively). The design and development of new quantitive measurement instruments is discussed in detail. These last include: 1) a summary of a reliability assessment of an expectancy model derived scale conducted on data from the 1984 New Recruit Survey: 2) a discussion of the development of two measures, one derived from the Fishbein and Ajzen model (a Likert scale), and a decompositional approach using a paired choice format; and 3) the methodology and results of a pilot test of the 2 new measures. The results of these efforts are discussed in terms of their implications for the Phase II data collection stage of the contract. Finally, copies of all measures developed are appended, as well as the respondents' answers to a set of demographic questions included in the pilot instruments that can be used to estimate respondents' performance on the Armed Forces Qualification Test composite on the Armed Forces Vocational Aptitudes Battery.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1987
Accession Number
ADA189481

Entities

People

  • Deborah A. Zirk
  • Leonard Adelman
  • Mary M. Kralj
  • Michael C Wilson
  • Robert J. Mcteigue

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Cognition
  • Commerce
  • Contractors
  • Contracts
  • Employment
  • Enlisted Personnel
  • Literature Surveys
  • Management Personnel
  • Military Personnel
  • Personnel Management
  • Psychology
  • Ratings
  • Recruiting
  • Recruits
  • Regression Analysis
  • Social Sciences
  • Thinking

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  • Organizational Psychology.
  • Psychometric Testing or Psychological Assessment.
  • Technical Research and Report Writing.