Higher-order cognitive diagnostic models for polytomous latent attributes

Pei-Da ZHAN, Wen Chung WANG, Xiaomin LI, Yufang BIAN

Research output: Contribution to conference › Papers

Abstract

Latent attributes in cognitive diagnostic models (CDMs) are dichotomous, but in practice polytomous attributes are possible. We developed a set of new CDMs in which the polytomous attributes are assumed to measure the same continuous latent trait. Simulation studies demonstrated good parameter recovery using WinBUGS. An empirical example was given.
Original languageEnglish
Publication statusPublished - Apr 2016
EventNational Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice - Washington, United States
Duration: 01 Apr 2016 → 11 Apr 2016

Conference

ConferenceNational Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice
Abbreviated titleNCME2016
Country/TerritoryUnited States
CityWashington
Period01/04/16 → 11/04/16

Citation

Zhan, P., Wang, W.-C., Li, X., & Bian, Y. (2016, April). Higher-order cognitive diagnostic models for polytomous latent attributes. Paper presented at the National Council on Measurement in Education (NCME) 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, DC Downtown Hotel, Washington, DC.