Comparison of Published Measures of Job Satisfaction on a Taxonomy of Job Rewards.

Abstract

The present study was part of a larger effort to explore the job satisfaction-reward-performance linkages. The overall logic of the work is that rewards influence both the level of satisfaction a person feels towards his work and the performance exhibited by that person on the task. The present study was directed toward the accomplishment of 4 specific objectives: (1) To develop a comprehensive list of job rewards; (2) To develop, in particular, a list of rewards of an intrinsic nature; (3) To compare published measures of job satisfaction; and (4) To compare, in particular, the Air Force Occupational Attitude Inventory against other measures of satisfaction. A number of sources were used in developing the taxonomy of job rewards. The final list consisted of six major categories (General Organizational Rewards, Task, Interaction With Others, Extrinsic Rewards, External Rewards, and Overall Job Satisfaction). Within a major category there were also a number of subcategories as well as a very large number of specific reward areas. A considerable number (35) of intrinsic rewards were listed within the major category of 'Task,' under the categories of 'intrinsic rewards' and 'personal control.'

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA058138

Entities

People

  • James B. Shaw
  • Robert D. Pritchard

Organizations

  • Purdue Research Foundation

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Personnel
  • Business Administration
  • Government Procurement
  • Human Resources
  • Job Satisfaction
  • Management Personnel
  • Manpower
  • Minnesota
  • Motivation
  • Organizational Structure
  • Personnel Management
  • Scientific Research
  • Supervisors
  • Taxonomy
  • Training

Fields of Study

  • Psychology

Readers

  • Instructional Design and Training Evaluation.
  • Library and Information Science
  • Mathematical Modeling and Probability Theory.