Classification Accuracy and Consistency under Item Response Theory Models Using the Package classify
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 examinees achieved grade classification on an assessment reflects their true grade. Classif...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2014-01-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/index.php/jss/article/view/2120 |
| Summary: | 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 examinees achieved grade classification on an assessment reflects 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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| ISSN: | 1548-7660 |