Measurement and Construct Equivalence of Three MEOCS Scales Across Eight Sociocultural Groups

Abstract

Three scales of the Military Equal Opportunity Climate Survey (MEOCS) were examined for measurement and construct equivalence across eight social cultural groups - White and African-American enlisted and officers of both genders. Two random samples of 1000 were drawn for each group. Weighted least squares and maximum likelihood procedures were used to assess factorial invariance, as well as invariance of indicator residuals, variances of the latent constructs, covariance of the latent constructs, and a subset of mean structures across the eight groups. Results indicated that measurement equivalence existed across the groups, which allowed for examination of construct equivalence. In the construct equivalence analyses, differences were found on mean structures between the enlisted African-American men and other groups. Nonequivalence was also found across the groups on the variances and covariance of the latent constructs. Discussion focused on the practical as well as theoretical implications of the differences that were found. In addition, recommendations were presented for using structural equation modeling in future examination of the various attitude scales administered by the Department of Defense.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA388400

Entities

People

  • Robert M. Mcintyre

Organizations

  • Defense Equal Opportunity Management Institute

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • African Americans
  • Covariance
  • Data Mining
  • Data Science
  • Databases
  • Department Of Defense
  • Ethnic Groups
  • Factor Analysis
  • Information Science
  • Knowledge Management
  • Minority Groups
  • Psychology
  • Statistical Analysis
  • Statistical Samples
  • Statistical Tests
  • Statistics
  • Surveys

Fields of Study

  • Psychology

Readers

  • Calculus or Mathematical Analysis
  • Organizational Psychology.
  • Regression Analysis.