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ERIC Number: EJ1247324
Record Type: Journal
Publication Date: 2020-Apr
Pages: 18
Abstractor: As Provided
ISSN: ISSN-1076-9986
Scoring Tests with Contaminated Response Vectors
Sakworawich, Arnond; Wainer, Howard
Journal of Educational and Behavioral Statistics, v45 n2 p209-226 Apr 2020
Test scoring models vary in their generality, some even adjust for examinees answering multiple-choice items correctly by accident (guessing), but no models, that we are aware of, automatically adjust an examinee's score when there is internal evidence of cheating. In this study, we use a combination of jackknife technology with an adaptive robust estimator to reduce the bias in examinee scores due to contamination through events such as having access to some of the test items in advance of the test administration. We illustrate our methodology with a data set of test items we knew to have been divulged to a subset of the examinees.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: United States Medical Licensing Examination
Grant or Contract Numbers: N/A