Expected Classification Accuracy using the Latent Distribution

Authors

Fanmin Guo

DOI

https://doi.org/10.7275/bxba-7466

Abstract

Rudner (2001, 2005) proposed a method for evaluating classification accuracy in tests based on item response theory (IRT). In this paper, a latent distribution method is developed. For comparison, both methods are applied to a set of real data from a state test. While the latent distribution method relaxes several of the assumptions needed to apply Rudner’s method, both approaches yield extremely comparable results. A simplified approach for applying Rudner’s method and a short SPSS routine are presented. Accessed 13,137 times on https://pareonline.net from October 17, 2006 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

Guo, Fanmin (2019) "Expected Classification Accuracy using the Latent Distribution," Practical Assessment, Research, and Evaluation: Vol. 11, Article 6.
DOI: https://doi.org/10.7275/bxba-7466
Available at: https://scholarworks.umass.edu/pare/vol11/iss1/6