Assessment of differential item functioning and differential attribute functioning under cognitive diagnosis models

Xiaomin LI, Wen Chung WANG, Ou ZHANG

Research output: Contribution to conferencePapers

Abstract

Cognitive diagnosis models (CDMs) are developed to assess respondents’ binary status (mastery or non-mastery) on a set of fine-grained attributes. As CDMs get popular, issues on differential item functioning (DIF) and differential attribute functioning (DAF) have attracted more and more research attention. DIF and DAF occur when people with the same latent trait level but from different groups have different response probabilities to an item. This study proposes two methods to detect DIF and DAF for CDMs. These methods are applied to the deterministic inputs, noisy “and” gate (DINA) model, and simulation studies demonstrate performance and usefulness of the new methods for DIF and DAF assessment.
Original languageEnglish
Publication statusPublished - Apr 2013

Citation

Li, X., Wang, W.-C., & Zhang, O. (2013, April). Assessment of differential item functioning and differential attribute functioning under cognitive diagnosis models. Paper presented at the American Educational Research Association 2013 Annual Meeting, San Francisco, California.

Fingerprint Dive into the research topics of 'Assessment of differential item functioning and differential attribute functioning under cognitive diagnosis models'. Together they form a unique fingerprint.