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ERIC Number: EJ1053375
Record Type: Journal
Publication Date: 2015
Pages: 27
Abstractor: As Provided
Reference Count: N/A
ISBN: N/A
ISSN: ISSN-0022-0655
Assessment of Differential Item Functioning under Cognitive Diagnosis Models: The DINA Model Example
Li, Xiaomin; Wang, Wen-Chung
Journal of Educational Measurement, v52 n1 p28-54 Spr 2015
The assessment of differential item functioning (DIF) is routinely conducted to ensure test fairness and validity. Although many DIF assessment methods have been developed in the context of classical test theory and item response theory, they are not applicable for cognitive diagnosis models (CDMs), as the underlying latent attributes of CDMs are multidimensional and binary. This study proposes a very general DIF assessment method in the CDM framework which is applicable for various CDMs, more than two groups of examinees, and multiple grouping variables that are categorical, continuous, observed, or latent. The parameters can be estimated with Markov chain Monte Carlo algorithms implemented in the freeware WinBUGS. Simulation results demonstrated a good parameter recovery and advantages in DIF assessment for the new method over the Wald method.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A