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Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis

Harris, Deborah J.; Kolen, Michael J. – Educational and Psychological Measurement, 1988
Three methods of estimating point-biserial correlation coefficient standard errors were compared: (1) assuming normality; (2) not assuming normality; and (3) bootstrapping. Although errors estimated assuming normality were biased, such estimates were less variable and easier to compute, suggesting that this might be the method of choice in some…
Descriptors: Error of Measurement, Estimation (Mathematics), Item Analysis, Statistical Analysis

Bligh, Thomas J.; Noe, Michael J. – Educational and Psychological Measurement, 1977
A computer program for scoring written simulation tests provides individual scores and basic item analysis data. The program is written in Fortran IV and can accomodate up to thirty-five hundred options and up to ten thousand examinees. (Author/JKS)
Descriptors: Computer Oriented Programs, Item Analysis, Medical Education, Problem Solving