Expected Classification Accuracy
DOI
https://doi.org/10.7275/56a5-6b14
Abstract
Every time we make a classification based on a test score, we should expect some number of misclassifications. Some examinees whose true ability is within a score range will have observed scores outside of that range. A procedure for providing a classification table of true and expected scores is developed for polytomously scored items under item response theory and applied to state assessment data. A simplified procedure for estimating the table entries is also presented. Accessed 19,668 times on https://pareonline.net from August 29, 2005 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
Rudner, Lawrence M.
(2019)
"Expected Classification Accuracy,"
Practical Assessment, Research, and Evaluation: Vol. 10, Article 13.
DOI: https://doi.org/10.7275/56a5-6b14
Available at:
https://scholarworks.umass.edu/pare/vol10/iss1/13