A higher-order cognitive diagnosis model for polytomous attributes and polytomous responses

Peida ZHAN, Wen Chung WANG, Lijun WANG

Research output: Contribution to conferencePapers

Abstract

Existing cognitive diagnosis models (CDMs) assume dichotomous attributes and dichotomous responses. In this study we developed new CDMs for polytomous attributes and polytomous responses. A higher-order structure was imposed on the polytomous attributes. A brief simulation demonstrated a acceptable parameter recovery by using the Bayesian methods for parameter estimation. Copyright © 2017 NCME Annual Meeting.
Original languageEnglish
Publication statusPublished - Apr 2017
EventNational Council on Measurement in Education (NCME) 2017 Annual Meeting: Advancing Large Scale and Classroom Assessment through Research and Practice - San Antonio Marriott Rivercenter, San Antonio, United States
Duration: 26 Apr 201730 Apr 2017
https://www.ncme.org/event/annual-meeting/past-meetings/2017-recap

Conference

ConferenceNational Council on Measurement in Education (NCME) 2017 Annual Meeting: Advancing Large Scale and Classroom Assessment through Research and Practice
Abbreviated titleNCME2017
Country/TerritoryUnited States
CitySan Antonio
Period26/04/1730/04/17
Internet address

Citation

Zhan, P., Wang, W.-C. & Wang, L. (2017, April). A higher-order cognitive diagnosis model for polytomous attributes and polytomous responses. Paper presented at the National Council on Measurement in Education (NCME) 2017 Annual Meeting: Advancing Large Scale and Classroom Assessment through Research and Practice, San Antonio Marriott Rivercenter, San Antonio, TX.

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