The goal of this study is to determine the effects of
test cheating in a scenario where
test-takers use item pre-knowledge in the c-MST, and to urge practitioners to
take additional precautions to increase test security. In order to investigate
the statistical consequences of item pre-knowledge use in the c-MST, three
different cheating scenarios were created, in addition to the baseline
condition (e.g., no pre-knowledge usage). The findings were compared under
30-item and 60-item test length conditions with 1-3-3 c-MST panel design. A
total of thirty cheaters were generated from a normal distribution, and EAP was
used as an ability estimation method. The findings were discussed with the
evaluation criteria of mean bias, root mean square error, correlation between
true and estimated thetas, conditional absolute bias, and conditional root mean
square. It was found that using item pre-knowledge severely affected the
estimated thetas, and as the number of compromised items increased, the results
got worse. It was concluded that item sharing and/or test cheating seriously
damage the test scores, test usage, and score interpretations.
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | August 1, 2019 |
Published in Issue | Year 2019 Volume: 39 Issue: 2 |