Cognitive Diagnostic Modeling Using R

Authors

Hamdollah Ravand
Alexander Robitzsch

DOI

https://doi.org/10.7275/5g6f-ak15

Abstract

Cognitive diagnostic models (CDM) have been around for more than a decade but their application is far from widespread for mainly two reasons: (1) CDMs are novel, as compared to traditional IRT models. Consequently, many researchers lack familiarity with them and their properties, and (2) Software programs doing CDMs have been expensive and not readily available. The present paper presents a reader-friendly introduction to the CDMs and uses the CDM package (Robitzsch, Kiefer, Cathrice George, & Uenlue, 2014) in R to demonstrate the application of the generalized deterministic-input, noisy-and-gate model (G-DINA; de la Torre, 2011) and interpret the output. R is a free open source tool which can be utilized to conduct a range of CDMs which otherwise would need separate software programs to run each.Accessed 12,469 times on https://pareonline.net from April 13, 2015 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Ravand, Hamdollah and Robitzsch, Alexander (2019) "Cognitive Diagnostic Modeling Using R," Practical Assessment, Research, and Evaluation: Vol. 20, Article 11.
DOI: https://doi.org/10.7275/5g6f-ak15
Available at: https://scholarworks.umass.edu/pare/vol20/iss1/11