An Empirical Analysis of Job Satisfaction Factors.

Abstract

Two empirical models were developed using stepwise multiple regression techniques to identify significant factors contributing to job satisfaction. A cursory literature review formed the basis for the hypothetical model I, which resulted in the explanation of 49.4 percent of variation in job satisfaction. All variables in the existing data set (formulated using the AFIT Survey of Work Attitudes) were then regressed against job satisfaction with a resulting R-square of .587. Difference in results were attributed to the lack of current comprehensive literature on job satisfaction and the lack of measurement in the survey instrument of items intuitively related to job satisfaction such as pay and promotion. Assumptions that relevant factors contributing to job satisfaction must have been identified in the past few decades were obviously left in question. Future research was suggested in the area of meta-analysis using job satisfaction as a criterion rather than in its traditional role as a predictor variable. Keywords: Organizational development, Job attitudes, Theses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA187876

Entities

People

  • James H. Thalmann

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Classification
  • Correlation Analysis
  • Data Sets
  • Databases
  • Department Of Defense
  • Group Dynamics
  • Information Science
  • Job Satisfaction
  • Literature
  • Literature Surveys
  • Management Personnel
  • Measurement
  • Organizational Structure
  • Psychology
  • Surveys
  • United States

Fields of Study

  • Education

Readers

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