Journal article
Obtaining Diagnostic Classification Model Estimates Using Mplus
Educational measurement, issues and practice, Vol.32(2), pp.37-50
06/2013
DOI: 10.1111/emip.12010
Abstract
Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.
Details
- Title: Subtitle
- Obtaining Diagnostic Classification Model Estimates Using Mplus
- Creators
- Jonathan Templin - University of GeorgiaLesa Hoffman - University of Nebraska–Lincoln
- Resource Type
- Journal article
- Publication Details
- Educational measurement, issues and practice, Vol.32(2), pp.37-50
- DOI
- 10.1111/emip.12010
- ISSN
- 0731-1745
- eISSN
- 1745-3992
- Number of pages
- 14
- Grant note
- National Science Foundation (DRL‐0822064; SES‐0750859; SES‐1030337)
- Language
- English
- Date published
- 06/2013
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9983993482502771
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