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The R Package CDM for Cognitive Diagnosis Models

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  • George, Ann Cathrice
  • Robitzsch, Alexander
  • Kiefer, Thomas
  • Groß, Jürgen
  • Ünlü, Ali

Abstract

This paper introduces the R package CDM for cognitive diagnosis models (CDMs). The package implements parameter estimation procedures for two general CDM frameworks, the generalized-deterministic input noisy-and-gate (G-DINA) and the general diagnostic model (GDM). It contains additional functions for analyzing data under these frameworks, like tools for simulating and plotting data, or for evaluating global model and item fit. The paper describes the theoretical aspects of implemented CDM frameworks and it illustrates the usage of the package with empirical data of the common fraction subtraction test by Tatsuoka (1984).

Suggested Citation

  • George, Ann Cathrice & Robitzsch, Alexander & Kiefer, Thomas & Groß, Jürgen & Ünlü, Ali, 2016. "The R Package CDM for Cognitive Diagnosis Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i02).
    • Handle: RePEc:jss:jstsof:v:074:i02
    DOI: http://hdl.handle.net/10.18637/jss.v074.i02
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    References listed on IDEAS

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    1. Robert Henson & Jonathan Templin & John Willse, 2009. "Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables," Psychometrika, Springer;The Psychometric Society, vol. 74(2), pages 191-210, June.
    2. Jonathan Templin & Laine Bradshaw, 2014. "Hierarchical Diagnostic Classification Models: A Family of Models for Estimating and Testing Attribute Hierarchies," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 317-339, April.
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