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Diagnostic Classification Models for Testlets: Methods and Theory

Published online by Cambridge University Press:  01 January 2025

Xin Xu ,
Guanhua Fang ,
Jinxin Guo ,
Zhiliang Ying  and
Susu Zhang Open the ORCID record for Susu Zhang [Opens in a new window]
Xin Xu
Affiliation:
Beijing Normal University
Guanhua Fang
Affiliation:
Fudan University
Jinxin Guo
Affiliation:
Minzu University of China
Zhiliang Ying
Affiliation:
Columbia University
Susu Zhang*
Affiliation:
University of Illinois Urbana-Champaign
*
Correspondence should be made to Susu Zhang, University of Illinois Urbana-Champaign, Champaign, USA. Email: szhan105@illinois.edu
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Abstract

Diagnostic classification models (DCMs) have seen wide applications in educational and psychological measurement, especially in formative assessment. DCMs in the presence of testlets have been studied in recent literature. A key ingredient in the statistical modeling and analysis of testlet-based DCMs is the superposition of two latent structures, the attribute profile and the testlet effect. This paper extends the standard testlet DINA (T-DINA) model to accommodate the potential correlation between the two latent structures. Model identifiability is studied and a set of sufficient conditions are proposed. As a byproduct, the identifiability of the standard T-DINA is also established. The proposed model is applied to a dataset from the 2015 Programme for International Student Assessment. Comparisons are made with DINA and T-DINA, showing that there is substantial improvement in terms of the goodness of fit. Simulations are conducted to assess the performance of the new method under various settings.

Keywords

diagnostic classification modeltestlet DINAidentifiabilityPISAQ-matrixinteractionhypothesis testingmodel selection

Information

Type
Theory & Methods
Information
Psychometrika , Volume 89 , Issue 3 , September 2024 , pp. 851 - 876
Copyright
Copyright © 2024 The Author(s), under exclusive licence to The Psychometric Society

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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

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