Analysis of Clinical Data From a Cognitive Diagnosis Modeling Framework

ABSTRACT

We propose a general cognitive diagnosis model framework to diagnose mental disorders using item scores obtained from clinical measurement instruments. This framework can be used to validate the extent to which the items measure the specific disorders. The method is illustrated using data obtained with the Dutch version of Millon Clinical Multiaxial Inventory-III.

KEYWORDS:

• Clinical assessment
• Millon Clinical Multiaxial Inventory-III
• latent variables
• confirmatory factor analysis
• multidimensional
• exploratory factor analysis

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Additional information

Funding

This research was supported in part by the National Science Foundation CAREER Grant No. DRL-0744486. Any opinions expressed herein are those of the authors and do not necessarily represent the views of the National Science Foundation.

Notes on contributors

Jimmy de la Torre

Jimmy de la Torre is Professor at the Division of Learning, Development and Diversity at the University of Hong Kong. His primary research interests include item response theory, cognitive diagnosis, Bayesian analysis, and application of diagnostic modeling in various settings.

L. Andries van der Ark

L. Andries van der Ark is Professor at the Department of Child Development and Education at the University of Amsterdam. His research interests include reliability analysis, nonparametric item response theory, and categorical marginal models.

Gina Rossi

Gina Rossi is Associate Professor at the Department of Clinical and Life Span Psychology at the Vrije Universiteit Brussel (VUB). Her research focus is personality psychopathology, and assessment of personality (disorders) in mid-adult and older adult populations. She is Associate Editor of Assessment.