Qval: 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) <doi:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <doi:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <doi:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <doi:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <doi:10.3758/s13428-022-01880-x>, the beta method based on signal detection theory by Li and Chen (2024) <doi:10.1111/bmsp.12371> and Q-matrix validation based on relative fit index by Chen et la. (2013) <doi:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative procedures during Q-matrix validating are available.
| Version: |
1.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
glmnet, GDINA, plyr, nloptr, MASS, Matrix, parallel, Rcpp, stats |
| LinkingTo: |
Rcpp |
| Published: |
2025-01-07 |
| DOI: |
10.32614/CRAN.package.Qval |
| Author: |
Haijiang Qin 
[aut, cre, cph],
Lei Guo [aut,
cph] |
| Maintainer: |
Haijiang Qin <haijiang133 at outlook.com> |
| License: |
GPL-3 |
| URL: |
https://haijiangqin.com/Qval/ |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| CRAN checks: |
Qval results |
Documentation:
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