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Peer reviewedCox, Myron K.; Key, Coretta H. – Educational and Psychological Measurement, 1993
A model is presented for multiple pairwise comparisons of selected categories (cells) of a contingency table after the chi-square test has rejected the null hypothesis of equality of population proportions. The model determines which, if any, pairwise proportions have led to the rejection. (SLD)
Descriptors: Chi Square, Classification, Comparative Analysis, Hypothesis Testing
Meshbane, Alice; Morris, John D. – 1994
A method for comparing the cross validated classification accuracies of linear and quadratic classification rules is presented under varying data conditions for the k-group classification problem. With this method, separate-group as well as total-group proportions of correct classifications can be compared for the two rules. McNemar's test for…
Descriptors: Classification, Comparative Analysis, Correlation, Discriminant Analysis
Morris, John D.; Huberty, Carl J. – 1986
Formulas for estimating cross-validated hit-rates, the number of correct classifications into an a priori grouping structure, were examined. The following mathematical formulas were compared: McLachlan's formula estimator, two Snappin and Knoke smoothed formula estimators, and the analytic leave-one-out estimator. The R method was included as a…
Descriptors: Classification, Comparative Analysis, Correlation, Estimation (Mathematics)
Peer reviewedZimmerman, Donald W.; Zumbo, Bruno D. – Journal of Experimental Education, 1993
Comparisons of the Wilcoxon test, Friedman test, and repeated-measures analysis of variance (ANOVA) on ranks in a computer simulation show that the Friedman test performs like the sign test whereas the ANOVA performs like the Wilcoxon test. Classification of these tests in introductory statistics textbooks should be revised. (SLD)
Descriptors: Analysis of Variance, Classification, Comparative Analysis, Computer Simulation
Peer reviewedEgghe, L. – Journal of the American Society for Information Science, 1987
Pratt's measure C on the class concentration of bibliometric distributions is calculated and interpreted for the laws of Zipf, Mandelbrot, and Lotka and geometric distribution, and comparisons are made of the results. An explicit mathematical formula which unifies disparate theories is derived and tested. (Author/CLB)
Descriptors: Bibliometrics, Classification, Comparative Analysis, Functions (Mathematics)
Gottfredson, Linda S. – 1978
All 437 census occupational titles were assigned scores from the following five systems for describing occupations: (1) Holland's (1973) occupational typology; (2) an occupational prestige scale; (3) an occupational self-direction scale; (4) the "Dictionary of Occupational Titles"; and (5) the Census Bureau classification. Occupational…
Descriptors: Classification, Comparative Analysis, Educational Needs, Employment Level
Everson, Howard T.; And Others – 1994
This paper explores the feasibility of neural computing methods such as artificial neural networks (ANNs) and abductory induction mechanisms (AIM) for use in educational measurement. ANNs and AIMS methods are contrasted with more traditional statistical techniques, such as multiple regression and discriminant function analyses, for making…
Descriptors: Academic Achievement, Algebra, Classification, College Freshmen
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis


