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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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Harwell, Michael R.; Serlin, Ronald C. – Journal of Educational Statistics, 1989
Two forms, pure-rank and mixed-rank, of a nonparametric, general, linear model-based statistic that can be used to test several hypotheses are presented. A Monte Carlo study was used to investigate the distributional properties of these forms, and their use is discussed. (SLD)
Descriptors: Hypothesis Testing, Mathematical Models, Monte Carlo Methods, Simulation
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Serlin, Ronald C.; Marascuilo, Leonard A. – 1978
When examining a repeated measures design with independent groups for a significant group by trial interaction, classical analysis of variance or multivariate procedures can be used if the assumptions underlying the tests are met. Neither procedure may be justified for designs with small sample sizes and dichotomous dependent variables. An omnibus…
Descriptors: Hypothesis Testing, Mathematical Models, Nonparametric Statistics, Research Design
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Kaiser, Henry F.; Serlin, Ronald C. – Applied Psychological Measurement, 1978
A least-squares solution for the method of paired comparisons is given. The approach provokes a theorem regarding the amount of data necessary and sufficient for a solution to be obtained. A measure of the internal consistency of the least-squares fit is developed. (Author/CTM)
Descriptors: Higher Education, Least Squares Statistics, Mathematical Models, Measurement