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Estimating the Consistency and Accuracy of Classifications Based on Test Scores [microform] / Samuel A. Livingston and Charles Lewis
Bib ID 5586243
Format BookBook, MicroformMicroform, OnlineOnline
Author
Livingston, Samuel A
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1993 
31 p. 
Summary

This paper presents a method for estimating the accuracy and consistency of classifications based on test scores. The scores can be produced by any scoring method, including the formation of a weighted composite. The estimates use data from a single form. The reliability of the score is used to estimate its effective test length in terms of discrete items. The true-score distribution is estimated by fitting a four-parameter beta model. The conditional distribution of scores on an alternate form, given the true score, is estimated from a binomial distribution based on the estimated effective test length. The agreement between classifications on two alternate forms is estimated by assuming conditional independence, given the true score. An evaluation of the method showed that the estimates of the percent of test-takers correctly classified and the percent consistently classified were within one percentage point of the actual values in most cases. Although the estimated effective test length and the estimates of the conditional standard error of measurement are sensitive to changes in the specified minimum and maximum possible scores, the estimates of the decision accuracy and decision consistency statistics are not. (Contains seven tables and seven references.) (Author)

Notes

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Classification.  |  Error of Measurement.  |  Estimation (Mathematics)  |  Reliability.  |  Scores.  |  Scoring.  |  Test Length.  |  Test Results.  |  Test Use.  |  Accuracy Beta Binomial Test Model Four Parameter Model
Form/genre Reports, Evaluative.
Other authors/contributors Lewis, Charles, author  |  Educational Testing Service, Princeton, NJ
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