Statistical Applications to Cognitive Diagnostic Testing-Reference-Cited by-同舟云学术

Statistical Applications to Cognitive Diagnostic Testing

Published:2023-03-10 Issue:1 Volume:10 Page:651-675
ISSN:2326-8298
Container-title:Annual Review of Statistics and Its Application
language:en
Short-container-title:Annu. Rev. Stat. Appl.

Author:

Zhang Susu¹,Liu Jingchen²,Ying Zhiliang²

Affiliation:

1. Departments of Psychology and Statistics, University of Illinois Urbana-Champaign, Champaign, Illinois, USA

2. Department of Statistics, Columbia University, New York, New York, USA;

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.

Publisher

Annual Reviews

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.annualreviews.org/doi/pdf/10.1146/annurev-statistics-033021-111803

Reference138 articles.

1. Bayesian Analysis of Binary and Polychotomous Response Data

2. Cognitive Tutors: Lessons Learned

3. Item Response Theory

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