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Woodruff, David; Traynor, Anne; Cui, Zhongmin; Fang, Yu – ACT, Inc., 2013
Professional standards for educational testing recommend that both the overall standard error of measurement and the conditional standard error of measurement (CSEM) be computed on the score scale used to report scores to examinees. Several methods have been developed to compute scale score CSEMs. This paper compares three methods, based on…
Descriptors: Comparative Analysis, Error of Measurement, Scores, Scaling
Liu, Yuming; Schulz, E. Matthew; Yu, Lei – Journal of Educational and Behavioral Statistics, 2008
A Markov chain Monte Carlo (MCMC) method and a bootstrap method were compared in the estimation of standard errors of item response theory (IRT) true score equating. Three test form relationships were examined: parallel, tau-equivalent, and congeneric. Data were simulated based on Reading Comprehension and Vocabulary tests of the Iowa Tests of…
Descriptors: Reading Comprehension, Test Format, Markov Processes, Educational Testing
Sotaridona, Leonardo S.; van der Linden, Wim J.; Meijer, Rob R. – Applied Psychological Measurement, 2006
A statistical test for detecting answer copying on multiple-choice tests based on Cohen's kappa is proposed. The test is free of any assumptions on the response processes of the examinees suspected of copying and having served as the source, except for the usual assumption that these processes are probabilistic. Because the asymptotic null and…
Descriptors: Cheating, Test Items, Simulation, Statistical Analysis

Brink, Nicholas E. – Educational and Psychological Measurement, 1972
Study compares the Rasch and the Guttman models of measurement and thus adds to the description of the characteristics of Rasch's logistic model. Such knowledge is of importance in making decisions as to which model and which statistics should be used in evaluations of tests. (Author/CB)
Descriptors: Comparative Analysis, Educational Testing, Error of Measurement, Goodness of Fit