TY - JOUR
T1 - The R package CDM for cognitive diagnosis models
AU - George, Ann Cathrice
AU - Robitzsch, Alexander
AU - Kiefer, Thomas
AU - Groß, Jürgen
AU - Ünlü, Ali
N1 - Publisher Copyright:
© 2016, American Statistical Association. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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).
AB - 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).
KW - Cognitive diagnosis models
KW - General diagnostic model
KW - R
KW - Skill diagnosis
KW - Structured latent class models
UR - http://www.scopus.com/inward/record.url?scp=84992529993&partnerID=8YFLogxK
U2 - 10.18637/jss.v074.i02
DO - 10.18637/jss.v074.i02
M3 - Article
AN - SCOPUS:84992529993
SN - 1548-7660
VL - 74
JO - Journal of Statistical Software
JF - Journal of Statistical Software
ER -