Expected Classification Accuracy
- Lawrence M. Rudner
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.
Keywords: Classification, *Cutting Scores, *Error of Measurement, Pass Fail Grading, * Scoring, * Statistical Analysis
How to Cite:
Rudner, L. M., (2005) “Expected Classification Accuracy”, Practical Assessment, Research, and Evaluation 10(1): 13. doi: https://doi.org/10.7275/56a5-6b14
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