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Peer reviewed

Meyer, Lennart – Educational and Psychological Measurement, 1979

The PM statistical index, which indicates the probability that a person will belong to a particular clinical class, is described. The coefficient is similar to the G index but is easier to compute. An empirical example is presented. (JKS)

Descriptors: Adults, Clinical Diagnosis, Data Analysis, Hypothesis Testing

Peer reviewed

Wilcox, Rand R. – Educational and Psychological Measurement, 1979

A problem of considerable importance in certain educational settings is determining how many items to include on a mastery test. Applying ranking and selection procedures, a solution is given which includes as a special case all existing single-stage, non-Bayesian solutions based on a strong true-score model. (Author/JKS)

Descriptors: Criterion Referenced Tests, Mastery Tests, Nonparametric Statistics, Probability

Peer reviewed

Hofmann, Richard J. – Educational and Psychological Measurement, 1979

The Guttman scale is discussed from the viewpoint of errors in response patterns. The errors are assumed to be distributed as a binomial. A double-barreled significance test is suggested having two probabilities: high probability and low probability. (Author)

Descriptors: Error Patterns, Hypothesis Testing, Probability, Psychometrics

Peer reviewed

Wilcox, Rand R. – Educational and Psychological Measurement, 1979

Wilcox has described three probability models which characterize a single test item in terms of a population of examinees (ED 156 718). This note indicates indicates that similar models can be derived which characterize a single examinee in terms of an item domain. A numerical illustration is given. (Author/JKS)

Descriptors: Achievement Tests, Item Analysis, Mathematical Models, Probability