Attitudes Toward making a Transfer: A Predictive Model.

Abstract

This report presents the results of a study of U.S. Air Force personnel who had been notified that they would be making a Permanent Change of Station (PCS). Participants were 143 N.C.O.'s (staff sergeant through chief master sergeant) at seven USAF bases in three states. Data were collected concerning their attitude toward the upcoming PCS as well as eight major independent variables that w ere thought to predict PCS attitude. The eight independent variables were: the relative similarity/dissimilarity between their present and future assignments in terms of climate, city size, culture, job duties, and level of job responsibility; the frequency of past transfers; the extent to which the individual saw the new assignment as a career advance; the attractiveness of the new assignment; the attractiveness of the present assignment; the extent to which the individual had adjusted to previous transfers successfully; the amount of notice time given prior to the transfer; and the ratio of preferred assignments to total career PCS's. All data were collected using a survey/interview format. Five of the eight independent variables correlated significantly and in the predicted direction with PCS attitude. Regression analyses using data on the independent variables to predict PCS attitude yielded a multiple correlation of R=.68 (R squared = .46). (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1983
Accession Number
ADA134189

Entities

People

  • Cynthia D. Fisher
  • James B. Shaw
  • Richard W. Woodman

Organizations

  • Texas A&M University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Personnel
  • Computing-Related Activities
  • Data Science
  • Determinants (Mathematics)
  • Frequency
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Predictive Modeling
  • Regression Analysis
  • Statistical Analysis
  • Statistics
  • Surveys

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Military Training and Readiness Simulation
  • Organizational Psychology.