The Dimensionality of Deviant Employee Behavior in the Workplace

Abstract

The study, which investigated the dimensionality of deviant employee behavior, utilized two samples and two data collection methods. An undergraduate student sample (N=115) and a sample of college alumni (N=343) completed self ratings on eighty-seven deviant behavior items by indicating whether they would engage in each behavior. The alumni sample completed additional ratings which rated the co-occurrence of various categories of deviant employee behavior. Reliability analysis and LISREL analysis suggest support for the use of eleven categories of deviant behavior: (1) Theft and Related Behavior, (2) Destruction of Property, (3) Misuse of Information, (4) Misuse of Time and Resources, (5) Unsafe Behavior, (6) Poor Attendance, (7) Poor Quality Work, (8) Alcohol Use, (9) Drug Use, (10) Inappropriate Verbal Actions, and (11) Inappropriate Physical Actions. Results suggest that the relationships between the categories of behavior vary across categories. Results of principal components analysis using the self ratings suggest a strong common factor underlying all of the categories of deviant behavior. Multidimensional scaling analysis using the co-occurrence data suggests that deviant behavior categories vary on two dimensions: a personal versus impersonal dimension and a task-related versus not task related dimension. Multidimensional scaling results using the self ratings yield an uninterpretable solution.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1999
Accession Number
ADA370788

Entities

People

  • Melissa L. Gruys

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Crime
  • Employment
  • Ethnic Groups
  • Factor Analysis
  • Industrial Plants
  • Industrial Relations
  • Information Science
  • Management Personnel
  • Native Americans
  • Psychology
  • Reliability
  • Sexual Assault
  • Social Psychology
  • Societies
  • Sociology
  • Surveys

Fields of Study

  • Psychology

Readers

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  • Regression Analysis.