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Diagnostic Classification Modeling with flexMIRT

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Handbook of Diagnostic Classification Models

Part of the book series: Methodology of Educational Measurement and Assessment ((MEMA))

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Abstract

In this chapter, we will focus on the use of flexMIRT® (Cai L, flexMIRT® version 3.5: Flexible multilevel multidimensional item analysis and test scoring [Computer software]. Vector Psychometric Group, LLC, Chapel Hill, 2017) for estimating certain core diagnostic models that have seen practical application, as well as to illustrate the specialized capabilities the software offers. flexMIRT is a commercially available, stand-alone, general purpose item response theory (IRT) software program that is compatible with machines running Windows 7.0 or later. The basic DCM model in flexMIRT is described in Cai, Choi, Hansen, and Harrell (Annu Rev Stat Appl 3:297–321, 2016) as well as in Hansen, Cai, Monroe, and Li (Br J Math Stat Psychol 69:225–252, 2016) in slightly more restricted form. It is an extension of the log-linear cognitive diagnostic model (LCDM) described by Henson, Templin, and Willse (Psychometrika 74:191–210, 2009) with extra random effects to handle cases of possible local dependence.

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Author information

Authors and Affiliations

  1. University of California, Los Angeles, CA, USA

    Li Cai

  2. Vector Psychometric Group, LLC, Chapel Hill, NC, USA

    Li Cai & Carrie R. Houts

Authors
  1. Li Cai
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  2. Carrie R. Houts
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Correspondence to Li Cai .

Editor information

Editors and Affiliations

  1. National Board of Medical Examiners (NBME), Philadelphia, PA, USA

    Matthias von Davier

  2. Teachers College, Columbia University, New York, NY, USA

    Young-Sun Lee

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Cai, L., Houts, C.R. (2019). Diagnostic Classification Modeling with flexMIRT. In: von Davier, M., Lee, YS. (eds) Handbook of Diagnostic Classification Models. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-030-05584-4_27

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  • DOI: https://doi.org/10.1007/978-3-030-05584-4_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05583-7

  • Online ISBN: 978-3-030-05584-4

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