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Zhang, Zhonghua; Zhao, Mingren – Journal of Educational Measurement, 2019
The present study evaluated the multiple imputation method, a procedure that is similar to the one suggested by Li and Lissitz (2004), and compared the performance of this method with that of the bootstrap method and the delta method in obtaining the standard errors for the estimates of the parameter scale transformation coefficients in item…
Descriptors: Item Response Theory, Error Patterns, Item Analysis, Simulation

Cudeck, Robert – Journal of Educational Measurement, 1980
Methods for evaluating the consistency of responses to test items were compared. When a researcher is unwilling to make the assumptions of classical test theory, has only a small number of items, or is in a tailored testing context, Cliff's dominance indices may be useful. (Author/CTM)
Descriptors: Error Patterns, Item Analysis, Test Items, Test Reliability

Tatsuoka, Kikumi K. – Journal of Educational Measurement, 1987
This study examined whether the item response curves from a two-parameter model reflected characteristics of the mathematics items, each of which required unique cognitive tasks. A computer program performed error analysis of test performance. Cognitive subtasks appeared to influence the slopes and difficulties of item response curves. (GDC)
Descriptors: Cognitive Processes, Computer Assisted Testing, Error Patterns, Item Analysis

Miller, M. David – Journal of Educational Measurement, 1986
An index of student patterns of item response, when aggregated to the class level, was shown to identify classes that have a poor match between test content and instructional coverage. The mean caution index for a class can best be interpreted knowing the within-class standard deviation of the index. (Author/LMO)
Descriptors: Classes (Groups of Students), Elementary Education, Error Patterns, Goodness of Fit