Article

Expected Classification Accuracy using the Latent Distribution

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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.

Keywords: Classification, *Cutting Scores, *Error of Measurement, Pass Fail Grading, * Scoring, * Statistical Analysis

How to Cite:

Guo, F., (2006) “Expected Classification Accuracy using the Latent Distribution”, Practical Assessment, Research, and Evaluation 11(1): 6. doi: https://doi.org/10.7275/bxba-7466