Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms

Educ Psychol Meas. 2018 Jun;78(3):357-383. doi: 10.1177/0013164416685599. Epub 2017 Jan 8.

Abstract

Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item response theory frameworks. Retrofitting diagnostic classification models to existing assessments designed under other psychometric frameworks could be a plausible approach to obtain more actionable scores or understand more about the constructs themselves. This study (a) discusses the possibility and problems of retrofitting, (b) proposes a step-by-step retrofitting framework, and (c) explores the information one can gain from retrofitting through an empirical application example. While retrofitting may not always be an ideal approach to diagnostic measurement, this article aims to invite discussions through presenting the possibility, challenges, process, and product of retrofitting.

Keywords: diagnostic classification modeling; diagnostic measurement; dimensionality; item response theory; retrofit; test development.