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Peng, Chao-Ying, J.; Subkoviak, Michael J. – Journal of Educational Measurement, 1980
Huynh (1976) suggested a method of approximating the reliability coefficient of a mastery test. The present study examines the accuracy of Huynh's approximation and also describes a computationally simpler approximation which appears to be generally more accurate than the former. (Author/RL)
Descriptors: Error of Measurement, Mastery Tests, Mathematical Models, Statistical Analysis
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Huynh, Huynh; Mandeville, Garrett K. – 1979
Assuming that the density p of the true ability theta in the binomial test score model is continuous in the closed interval (0, 1), a Bernstein polynomial can be used to uniformly approximate p. Then via quadratic programming techniques, least-square estimates may be obtained for the coefficients defining the polynomial. The approximation, in turn…
Descriptors: Cutting Scores, Error of Measurement, Least Squares Statistics, Mastery Tests
Peer reviewed Peer reviewed
Huynh, Huynh; Saunders, Joseph C. – Journal of Educational Measurement, 1980
Single administration (beta-binomial) estimates for the raw agreement index p and the corrected-for-chance kappa index in mastery testing are compared with those based on two test administrations in terms of estimation bias and sampling variability. Bias is about 2.5 percent for p and 10 percent for kappa. (Author/RL)
Descriptors: Comparative Analysis, Error of Measurement, Mastery Tests, Mathematical Models
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Brennan, Robert L. – 1979
Using the basic principles of generalizability theory, a psychometric model for domain-referenced interpretations is proposed, discussed, and illustrated. This approach, assuming an analysis of variance or linear model, is applicable to numerous data collection designs, including the traditional persons-crossed-with-items design, which is treated…
Descriptors: Analysis of Variance, Cost Effectiveness, Criterion Referenced Tests, Cutting Scores