A more powerful method for testing for agreement between a judge and a known standard |
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Authors: | D. D. Wackerly D. H. Robinson |
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Affiliation: | (1) Department of Statistics, Nuclear Sciences Center, University of Florida, 32611 Gainesville, Florida |
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Abstract: | We assume that a judge's task is to categorize each ofN subjects into one ofr known classes. The design of primary interest is employed if the judge is presented withs groups, each containingr subjects, such that each group of sizer consists of exactly one subject of each of ther types. The probability distribution for the total number of correct choices is developed and used to test the null hypothesis that the judge is guessing in favor of the alternative that he or she is operating at a better than chance level. The power of the procedure is shown to be superior to two other procedures which appear in the literature.The authors are grateful for the suggestions of the referees and for computer funding provided by the Northeast Regional Data Center at the University of Florida. |
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Keywords: | nominal data power comparisons computer algorithm exact results large sample approximation |
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