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Showing 106 to 120 of 509 results Save | Export
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Serlin, Ronald C.; Marascuilo, Leonard A. – Journal of Educational Statistics, 1983
Two alternatives to the problems of conducting planned and post hoc comparisons in tests of concordance and discordance for G groups of judges are examined. The two models are illustrated using existing data. (Author/JKS)
Descriptors: Attitude Measures, Comparative Analysis, Interrater Reliability, Mathematical Models
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Conger, Anthony J.; Ward, David G. – Educational and Psychological Measurement, 1984
Sixteen measures of reliability for two-category nominal scales are compared. Upon correcting for chance agreement, there are only five distinct indices: Fleiss's modification of A-sub-1, the phi coefficient, Cohen's kappa, and two intraclass coefficients. Recommendations for choosing an agreement index are made based on definitions, magnitude,…
Descriptors: Comparative Analysis, Correlation, Data Analysis, Mathematical Models
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Waller, Michael I. – Journal of Educational Measurement, 1981
A method based on the likelihood ratio procedure is presented for use in selecting a measurement model from among the Rasch, two-parameter, and three-parameter logistic latent trait models. (Author/BW)
Descriptors: Comparative Analysis, Goodness of Fit, Latent Trait Theory, Mathematical Models
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Langeheine, Rolf – Studies in Educational Evaluation, 1980
Detailed reanalyses of data reported in Studies in Educational Evaluation: Monograph No. 1 by Y. Kashti and Monograph No. 5 by U. Kattmann, 1979, were performed using an explicitly structurally oriented approach via target analysis (PINDIS). Results contradict those reached by Kashti and Kattmann. (RL)
Descriptors: Comparative Analysis, Foreign Countries, Hypothesis Testing, Mathematical Models
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Woodruff, David J. – Applied Psychological Measurement, 1989
Linear equating methods for the common-item non-equivalent populations design were compared when true-score correlation between the test and anchor was less than unity. Scores from two groups of approximately 300 examinees illustrated three methods: (1) the Tucker equating method; (2) the Angoff-Levine method; and (3) the Congeneric-Levine method.…
Descriptors: Comparative Analysis, Equated Scores, Mathematical Models, Research Design
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ten Berge, Jos M. F.; Zegers, Frits E. – Multivariate Behavioral Research, 1990
Arguments by J. Levin (1988) challenging the convergence properties of the Harman and Jones (1966) method of Minres factor analysis are shown to be invalid. Claims about the invalidity of a rank-one version of the Harman and Jones method are also refuted. (TJH)
Descriptors: Algorithms, Comparative Analysis, Equations (Mathematics), Factor Analysis
Spray, Judith A.; And Others – 1990
Test data generated according to two different multidimensional item response theory (IRT) models were compared at both the item response level and the test score level to determine whether measurable differences between the models could be detected when the data sets were constrained to be equivalent in terms of item "p"-values. The…
Descriptors: Ability, Comparative Analysis, Item Response Theory, Mathematical Models
Luh, Wei-Ming; Olejnik, Stephen – 1990
Two-stage sampling procedures for comparing two population means when variances are heterogeneous have been developed by D. G. Chapman (1950) and B. K. Ghosh (1975). Both procedures assume sampling from populations that are normally distributed. The present study reports on the effect that sampling from non-normal distributions has on Type I error…
Descriptors: Comparative Analysis, Mathematical Models, Power (Statistics), Sample Size
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Tate, Richard L. – Florida Journal of Educational Research, 1988
An exploratory study of the value of ridge regression for interactive models is reported. Assuming that the linear terms in a simple interactive model are centered to eliminate non-essential multicollinearity, a variety of common models, representing both ordinal and disordinal interactions, are shown to have "orientations" that are…
Descriptors: Comparative Analysis, Equations (Mathematics), Mathematical Models, Maximum Likelihood Statistics
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Wittmann, E. – International Journal of Mathematical Education in Science and Technology, 1975
In this paper the mathematical structures of Bourbaki, the Piagetian developmental structures, and Polya's heuristic structures are compared. (SD)
Descriptors: Comparative Analysis, Learning, Mathematical Models, Mathematics
Aitkin, Murray A. – 1972
A class of tests for normality using the ratio of two estimates of the standard deviation is generalized to provide a class of tests for multivariate normality using a characterization of the multivariate normal. The posers of some of the tests are examined numerically and compared with the power of a recent similar test. (Author)
Descriptors: Comparative Analysis, Correlation, Data Analysis, Mathematical Models
Halperin, Silas – 1976
Although analysis of variance is the most popular statistical tool to researchers in the behavioral sciences, the casual user has recognized only recently that there is no single correct way to perform such an analysis. This paper is concerned with hypotheses tested in the two-way, fixed model under a variety of conditions: (1) with and without…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Hypothesis Testing
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Jackson, Paul H.; Agunwamba, Christian C. – Psychometrika, 1977
Finding and interpreting lower bounds for reliability coefficients for tests with nonhomogenous items has been a problem for psychometricians. This paper presents a mathematical formula for finding the greatest lower bound for such a coefficient. (Author/JKS)
Descriptors: Comparative Analysis, Mathematical Models, Measurement, Test Interpretation
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Pierce, Anton R.; Taylor, Joe K. – Journal of Library Automation, 1978
A model to calculate the costs of automated cataloging systems based on cataloging copy in a system's data base is developed. The costs derived by the model for two systems, OCLC and BALLOTS, are compared to the costs of an existing manual system. (Author/KP)
Descriptors: Cataloging, Comparative Analysis, Costs, Libraries
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Chen, Ye-Sho; Leimkuhler, Ferdinand F. – Journal of the American Society for Information Science, 1986
A common functional relationship among Lotka's law, Bradford's law, and Zipf's law is derived. The proof takes explicit account of the sequences of observed values of the variables by means of an index. This approach results in a more realistic and precise formulation of each law. (Author/EM)
Descriptors: Comparative Analysis, Goodness of Fit, Information Theory, Mathematical Models
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