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Kim, Sooyeon; Moses, Tim; Yoo, Hanwook – Journal of Educational Measurement, 2015
This inquiry is an investigation of item response theory (IRT) proficiency estimators' accuracy under multistage testing (MST). We chose a two-stage MST design that includes four modules (one at Stage 1, three at Stage 2) and three difficulty paths (low, middle, high). We assembled various two-stage MST panels (i.e., forms) by manipulating two…
Descriptors: Comparative Analysis, Item Response Theory, Computation, Accuracy
Guo, Hongwen; Oh, Hyeonjoo J.; Eignor, Daniel – Journal of Educational Measurement, 2013
In operational equating situations, frequency estimation equipercentile equating is considered only when the old and new groups have similar abilities. The frequency estimation assumptions are investigated in this study under various situations from both the levels of theoretical interest and practical use. It shows that frequency estimation…
Descriptors: Equated Scores, Computation, Statistical Analysis, Test Items

Albanese, Mark A. – Journal of Educational Measurement, 1988
Estimates of the effects of use of formula scoring on the individual examinee's score are presented. Results for easy, moderate, and hard tests are examined. Using test characteristics from several studies shows that some examinees would increase scores substantially if they were to answer items omitted under formula directions. (SLD)
Descriptors: Difficulty Level, Guessing (Tests), Scores, Scoring Formulas
Further Results on the Standard Errors of Estimate Associated with Item-Examinee Sampling Procedures

Shoemaker, David M. – Journal of Educational Measurement, 1971
Descriptors: Difficulty Level, Item Sampling, Statistical Analysis, Test Construction

Terwilliger, James S.; Lele, Kaustubh – Journal of Educational Measurement, 1979
Different indices for the internal consistency, reproducibility, or homogeneity of a test are based upon highly similar conceptual frameworks. Illustrations are presented to demonstrate how the maximum and minimum values of KR20 are influenced by test difficulty and the shape of the distribution of test scores. (Author/CTM)
Descriptors: Difficulty Level, Item Analysis, Mathematical Formulas, Statistical Analysis