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Kreiner, Svend – Applied Psychological Measurement, 2011
To rule out the need for a two-parameter item response theory (IRT) model during item analysis by Rasch models, it is important to check the Rasch model's assumption that all items have the same item discrimination. Biserial and polyserial correlation coefficients measuring the association between items and restscores are often used in an informal…
Descriptors: Item Analysis, Correlation, Item Response Theory, Models
Jones, Bernard G.; Gramenz, Gary W. – Spectrum, 1983
Describes procedure for combining Stanford Achievement Test items with local supplementary items to measure individual and aggregate student performance in mathematics. Two reports are generated from the test results: a diagnostic report of student mastery of each objective and an overall score. (TE)
Descriptors: Criterion Referenced Tests, Elementary Secondary Education, Item Analysis, Item Banks