Document Detail

Detecting differential item functioning with confirmatory factor analysis and item response theory: toward a unified strategy.
MedLine Citation:
PMID:  17100485     Owner:  NLM     Status:  MEDLINE    
In this article, the authors developed a common strategy for identifying differential item functioning (DIF) items that can be implemented in both the mean and covariance structures method (MACS) and item response theory (IRT). They proposed examining the loadings (discrimination) and the intercept (location) parameters simultaneously using the likelihood ratio test with a free-baseline model and Bonferroni corrected critical p values. They compared the relative efficacy of this approach with alternative implementations for various types and amounts of DIF, sample sizes, numbers of response categories, and amounts of impact (latent mean differences). Results indicated that the proposed strategy was considerably more effective than an alternative approach involving a constrained-baseline model. Both MACS and IRT performed similarly well in the majority of experimental conditions. As expected, MACS performed slightly worse in dichotomous conditions but better than IRT in polytomous cases where sample sizes were small. Also, contrary to popular belief, MACS performed well in conditions where DIF was simulated on item thresholds (item means), and its accuracy was not affected by impact.
Stephen Stark; Oleksandr S Chernyshenko; Fritz Drasgow
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Journal of applied psychology     Volume:  91     ISSN:  0021-9010     ISO Abbreviation:  J Appl Psychol     Publication Date:  2006 Nov 
Date Detail:
Created Date:  2006-11-14     Completed Date:  2006-12-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0222526     Medline TA:  J Appl Psychol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1292-306     Citation Subset:  IM    
Copyright Information:
(c) 2006 APA, all rights reserved
Department of Psychology, University of South Florida, Tampa, FL, USA.
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MeSH Terms
Discrimination (Psychology)*
Factor Analysis, Statistical
Models, Psychological
Psychological Theory*
Psychology / methods*,  statistics & numerical data*

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