Detection of Answer Copying with Unknown Item and Trait Parameters

James A. Wollack · Allan S. Cohen

32 citations0/0 files storedApplied Psychological Measurement

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Psychometric Methodologies and Testing Academic integrity and plagiarism Educational Technology and Assessment

Abstract

Previous work on the use of w for detection of answer copying was based on the assumption that item parameters for the nominal response model were known. Such an assumption limits the usefulness of a, particularly in the classroom, because most teachers do not have a set of precalibrated items. This study investigated empirical Type I error rates and the power of w when the item and trait (0) parameters were unknown and estimated from datasets of 100 and 500 examinees. rlype I error rate was unaffected by estimating item parameters from the data. Power was slightly lower in the 100-examinee datasets, but was almost identical in the 500-examinee datasets.

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References

1981Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm 2000Annual Meeting of the American Educational Research Association 1972Estimating Item Parameters and Latent Ability when Responses are Scored in Two or More Nominal Categories 1985Appropriateness measurement with polychotomous item response models and standardized indices 1979Measuring the Appropriateness of Multiple-Choice Test Scores 1991Annual Meeting of the National Council on Measurement in Education 1993Faculty responses to academic dishonesty: The influence of student honor codes 1986Person Fit in the Rasch Model

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2015Detecting Test Tampering Using Item Response Theory 2003Comparison of Answer Copying Indices with Real Data 2004A Statistical Test for Detecting Answer Copying on Multiple‐Choice Tests

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