Statistical Applications to Cognitive Diagnostic Testing

Posted: 15 Mar 2023

See all articles by Susu Zhang

Susu Zhang

University of Illinois at Urbana-Champaign

Jingchen Liu

Columbia University

Zhiliang Ying

Columbia University

Date Written: March 2023

Abstract

Diagnostic classification tests are designed to assess examinees’ discrete mastery status on a set of skills or attributes. Such tests have gained increasing attention in educational and psychological measurement. We review diagnostic classification models and their applications to testing and learning, discuss their statistical and machine learning connections and related challenges, and introduce some contemporary and future extensions.

Suggested Citation

Zhang, Susu and Liu, Jingchen and Ying, Zhiliang, Statistical Applications to Cognitive Diagnostic Testing (March 2023). Annual Review of Statistics and Its Application, Vol. 10, Issue 1, pp. 651-675, 2023, Available at SSRN: https://ssrn.com/abstract=4384797 or http://dx.doi.org/10.1146/annurev-statistics-033021-111803

Susu Zhang (Contact Author)

University of Illinois at Urbana-Champaign

601 E John St
Champaign, IL Champaign 61820
United States

Jingchen Liu

Columbia University

Zhiliang Ying

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

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