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Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous item responses. This package enables the estimation of the DINA and DINO model (Junker & Sijtsma, 2001, doi:10.1177/01466210122032064), the multiple group (polytomous) GDINA model (de la Torre, 2011, doi:10.1007/s11336-011-9207-7), the multiple choice DINA model (de la Torre, 2009, doi:10.1177/0146621608320523), the general diagnostic model (GDM; von Davier, 2008, doi:10.1348/000711007X193957), the structured latent class model (SLCA; Formann, 1992, doi:10.1080/01621459.1992.10475229) and regularized latent class analysis (Chen, Li, Liu, & Ying, 2017, doi:10.1007/s11336-016-9545-6). See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) doi:10.18637/jss.v074.i02 or Robitzsch and George (2019, doi:10.1007/978-3-030-05584-4_26) for further details on estimation and the package structure. For tutorials on how to use the CDM package see George and Robitzsch (2015, doi:10.20982/tqmp.11.3.p189) as well as Ravand and Robitzsch (2015).
Citation | CDM citation info |
github.com/alexanderrobitzsch/CDM | |
sites.google.com/site/alexanderrobitzsch2/software | |
Bug report | File report |
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