Measurement invariance assessment under cognitive diagnostic models

Xiaomin LI, Wen Chung WANG

Research output: Contribution to conferencePapers

Abstract

In CDMs, all existing methods for DIF detection treated the latent binary attributes as qualitatively identical even when items exhibit DIF, which contradicts the common knowledge of DIF and thus misleading. In this study, we acknowledge such fallacy and propose a new method for DIF assessment in CDMs.
Original languageEnglish
Publication statusPublished - Apr 2015
EventNational Council on Measurement in Education 2015 Annual Meeting - InterContinental Hotel, Chicago, United States
Duration: 15 Apr 201519 Apr 2015

Conference

ConferenceNational Council on Measurement in Education 2015 Annual Meeting
Abbreviated titleNCME 2015
Country/TerritoryUnited States
CityChicago
Period15/04/1519/04/15

Citation

Li, X., & Wang, W.-C. (2015, April). Measurement invariance assessment under cognitive diagnostic models. Paper presented at The NCME 2015: 77th Annual Meeting of National Council on Measurement in Education, InterContinental Hotel, Chicago, Illinois.

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