Applications of Item Response Theory to Analysis of Attitude Scale Translations.

Abstract

Methods of detecting item bias developed from a logistic item response theory (IRT) are generalized to analyze the fidelity of foreign language translations of psychological scales. These IRT methods are considered as alternatives to traditional sample dependent methods. Transformed item charcteristic curves generated in the original and target languages, rather than item parameters from two languages, are examined for significance of differences. Data from a Spanish translation of the Job Descriptive Index are used to illustrate the method. It is argued that equivalent item characteristic curves across the original and translated items of a scale produce equivalent instruments in both languages, and nonequivalent item characteristic curves pinpoint differences between the two versions of the scale. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA087834

Entities

People

  • Charles L. Hulin
  • Fritz Drasgow
  • John Komocar

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Behavioral Sciences
  • Business Administration
  • Data Science
  • Factor Analysis
  • Information Science
  • Interdisciplinary Science
  • Management Personnel
  • Military Research
  • New York
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Social Psychology
  • Students
  • Surveys
  • United States

Readers

  • Computational Linguistics
  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.