The Q-Matrix Validation Methods Framework

Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) discrimination index (the GDI method) by de la Torre and Chiu (2016) , the Hull method by Najera et al. (2021) , the stepwise Wald test method (the Wald method) by Ma and de la Torre (2020) , the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) , the beta method based on signal detection theory by Li and Chen (2024) and Q-matrix validation based on relative fit index by Chen et al. (2013) . Different research methods and iterative procedures during Q-matrix validating are available .


Reference manual

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install.packages("Qval")

1.2.4 by Haijiang Qin, 10 months ago


https://haijiangqin.com/Qval/


Browse source code at https://github.com/cran/Qval


Authors: Haijiang Qin [aut, cre, cph] (ORCID: , Lei Guo [aut, cph]


Documentation:   PDF Manual  


GPL-3 license


Imports glmnet, GDINA, MASS, Matrix, nloptr, Rcpp, parallel, plyr, gtools

Linking to Rcpp


See at CRAN