Cited by 97Psychometric Methodologies and TestingEducational Assessment and PedagogyEducational Technology and Assessment

Multiple Group IRT Modeling: Applications to Item Bias Analysis

Muthén, Bengt, Lehman, James·1985·Journal of Educational Statistics

Abstract

This article shows the applicability of new methodology for multiple-group factor analysis of dichotomous variables. Situations are considered where the same set of test items has been administered to more than one group of examinees. The new methodology is contrasted with the IRT approach to item bias analysis. An example is given in which females and males have taken a certain biology test.

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Crossref · 10.3102/10769986010002133

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Authors
Muthén, B., & Lehman, J.
Affiliations
  • University of California, Los Angeles
  • University of California, Los Angeles (US)
Venue
Journal of Educational Statistics
Published
1985-06
Volume
10
Issue
2
Pages
133-142
ISSN
0362-9791 (ISSN-L)
OpenAlex
W2025726766
Cited by
97
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 2 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 1 · 2014: 6 · 2013: 5 · 2012: 3
FWCI
1.96
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Educational Statistics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Education › Educational Assessment and Pedagogy
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
Keywords
binary variables, gender differences, test fairness

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