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

      1 , 1 , 2
      Educational and Psychological Measurement
      SAGE Publications

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          Abstract

          <p class="first" id="d780863e117">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. </p>

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          Most cited references56

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          Validating the Interpretations and Uses of Test Scores

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            DINA Model and Parameter Estimation: A Didactic

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              Assessing Approximate Fit in Categorical Data Analysis

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                Author and article information

                Journal
                Educational and Psychological Measurement
                Educational and Psychological Measurement
                SAGE Publications
                0013-1644
                1552-3888
                July 06 2017
                June 2018
                January 08 2017
                June 2018
                : 78
                : 3
                : 357-383
                Affiliations
                [1 ]University of Florida, Gainesville, FL, USA
                [2 ]University of Alberta, Edmonton, Alberta, Canada
                Article
                10.1177/0013164416685599
                6096460
                30140098
                c2fb8ce2-ec19-49b1-b1c0-ca6005dc80b0
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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