Classification accuracy and consistency under item response theory models using the package classify
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نویسنده
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wheadon c.
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منبع
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journal of statistical software - 2014 - دوره : 56 - - کد همایش: - صفحه:1 -14
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چکیده
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The r package classify presents a number of useful functions which can be used to estimate the classification accuracy and consistency of assessments. classification accuracy refers to the probability that an examinee's achieved grade classification on an assessment reects their true grade. classification consistency refers to the probability that an examinee will be classified into the same grade classification under repeated administrations of an assessment. understanding the classification accuracy and consistency of assessments is important where key decisions are being taken on the basis of grades or classifications. the study of classification accuracy can help to improve the design of assessments and aid public understanding and confidence in those assessments.
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کلیدواژه
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Bayesian IRT ,R; Classification accuracy; Classification consistency; Item response theory; Model fit; True score
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آدرس
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no more marking ltd,18,addision road,guildford,gu1 3qg, United Kingdom
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