cdmTools - Useful Tools for Cognitive Diagnosis Modeling
Provides useful tools for cognitive diagnosis modeling
(CDM). The package includes functions for empirical Q-matrix
estimation and validation, such as the Hull method (Nájera,
Sorrel, de la Torre, & Abad, 2021, <doi:10.1111/bmsp.12228>)
and the discrete factor loading method (Wang, Song, & Ding,
2018, <doi:10.1007/978-3-319-77249-3_29>). It also contains
dimensionality assessment procedures for CDM, including
parallel analysis and automated fit comparison as explored in
Nájera, Abad, and Sorrel (2021,
<doi:10.3389/fpsyg.2021.614470>). Other relevant methods and
features for CDM applications, such as the restricted DINA
model (Nájera et al., 2023; <doi:10.3102/10769986231158829>),
the general nonparametric classification method (Chiu et al.,
2018; <doi:10.1007/s11336-017-9595-4>), and corrected
estimation of the classification accuracy via multiple
imputation (Kreitchmann et al., 2022;
<doi:10.3758/s13428-022-01967-5>) are also available. Lastly,
the package provides some useful functions for CDM simulation
studies, such as random Q-matrix generation and detection of
complete/identified Q-matrices.