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Stephens, Larry J.; And Others – Journal of Educational Statistics, 1977
Problems associated with ranking a large number of objects are discussed. It is recommended that only a subset of the most preferred objects be ranked by each judge. A test statistic for testing the hypothesis of no difference in preference among the objects is developed for the recommended procedure. (Author/JKS)
Descriptors: Hypothesis Testing, Measurement Techniques, Nonparametric Statistics
Peer reviewed Peer reviewed
Penfield, Douglas A.; Koffler, Stephen L. – Journal of Educational Statistics, 1978
Post hoc multiple comparison procedures useful in assessing differences in population variability are formulated for three nonparametric alternatives to the parametric Bartlett test. The three nonparametric tests are the generalized Puri K-sample extensions of the Siegel-Tukey, mood, and Klotz tests. (Author/CTM)
Descriptors: Nonparametric Statistics, Statistical Significance, Technical Reports
Peer reviewed Peer reviewed
Hubert, Lawrence J.; Baker, Frank B. – Journal of Educational Statistics, 1977
A statistical technique is proposed for comparing an empirically obtained matrix of the perceived similarity of paired stimuli against a set of distinctive features that supposedly characterize the stimuli on which the matrix is based. The statistical development of the technique and an example are presented. (Author/JKS)
Descriptors: Cues, Hypothesis Testing, Matrices, Nonparametric Statistics
Peer reviewed Peer reviewed
Guthrie, Donald – Journal of Educational Statistics, 1982
A variety of correlation measures for use between expressed and inventoried interests are presented. Tables are given for significance testing, and asymptotic standard errors are derived. (Author/JKS)
Descriptors: Correlation, Interest Inventories, Nonparametric Statistics, Test Validity
Peer reviewed Peer reviewed
Hornick, Chris W.; Overall, John E. – Journal of Educational Statistics, 1980
Estimates of sample size requirements for 2 X 2 tables, derived from three approximate formulae, were evaluated by comparison with exact calculations. Although different, the estimates derived from all three formulae were judged adequate for most practical purposes, with the most accurate results being obtained from Cohen's formula. (Author/JKS)
Descriptors: Expectancy Tables, Mathematical Formulas, Nonparametric Statistics, Sampling
Peer reviewed Peer reviewed
Toothaker, Larry E.; Chang, Horng-shing – Journal of Educational Statistics, 1980
Extensions of the Kruskal-Wallis procedure for a factorial design are examined under various degrees and kinds of nonnullity. It was found that the distributions of these test statistics are a function of effects other than those being tested, except under the completely null situation. Their use is discouraged. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Overall, John E. – Journal of Educational Statistics, 1980
Fisher's exact probability test is severely conservative when interpreted with reference to conventional alpha levels due to the discontinuity of the sampling distribution for 2 x 2 tables. An adjustment of the cell frequencies is proposed that results in a correction for continuity with appropriate alpha protection and increased power. (Author)
Descriptors: Data Analysis, Hypothesis Testing, Nonparametric Statistics, Statistical Bias
Peer reviewed Peer reviewed
Stamm, Carol Lee – Journal of Educational Statistics, 1978
A study was conducted using generated data sets that contained specified amounts of error to determine empirically which of two large sample approximations for the coefficient of concordance or weighted average tau was more appropriate for various numbers of judges and numbers of objects. (CTM)
Descriptors: Correlation, Nonparametric Statistics, Sampling, Statistical Significance
Peer reviewed Peer reviewed
Baker, Frank B. – Journal of Educational Statistics, 1981
The recently developed log-linear model technique for the analysis of contingency tables has many potential applications within educational research. This paper describes the two major models, log-linear and logit-linear, that are employed under this approach. (Author/JKS)
Descriptors: Data Analysis, Goodness of Fit, Nonparametric Statistics, Research Design
Peer reviewed Peer reviewed
Schultz, James V.; Hubert, Lawrence – Journal of Educational Statistics, 1976
Illustrates a simple nonparametric alternative that can be used to test a hypothesis that two proximity matrices on the same set of variables or objects reflect a similar pattern of high and low entries. (RC)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Matrices
Peer reviewed Peer reviewed
Edgington, Eugene S. – Journal of Educational Statistics, 1983
Randomization tests involve generating all possible assignments of subjects to treatments in order to create a distribution of possible test statistics. The use of a premutation group to enhance the understanding and utility of randomization tests is discussed. (Author/JKS)
Descriptors: Data Analysis, Nonparametric Statistics, Research Design, Statistical Distributions
Peer reviewed Peer reviewed
Blair, R. Clifford; Higgins, James J. – Journal of Educational Statistics, 1980
Monte Carlo techniques were used to compare the power of Wilcoxon's rank-sum test to the power of the two independent means t test for situations in which samples were drawn from (1) uniform, (2) Laplace, (3) half-normal, (4) exponential, (5) mixed-normal, and (6) mixed-uniform distributions. (Author/JKS)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Formulas, Nonparametric Statistics
Peer reviewed Peer reviewed
Boyer, John E., Jr.; And Others – Journal of Educational Statistics, 1983
New tests for comparing the strength of association between a variable and each of two potential predictor variables are proposed and compared to an existing test in a simulation study. Recommendations for use are made. (Author/JKS)
Descriptors: Correlation, Hypothesis Testing, Nonparametric Statistics, Predictive Validity
Peer reviewed Peer reviewed
Noether, Gottfried E. – Journal of Educational Statistics, 1985
The paper presents a unified approach to some of the more popular nonparametric methods in current use, providing the reader with new insights by exhibiting relationships to relevant population parameters. (Author/LMO)
Descriptors: Higher Education, Hypothesis Testing, Nonparametric Statistics, Regression (Statistics)
Peer reviewed Peer reviewed
Wilcox, Rand R. – Journal of Educational Statistics, 1983
The problem of determining which of several populations has the largest mean is considered. The procedure described by Dudewicz and Dalal is extended to the case of unequal sample sizes. (JKS)
Descriptors: Analysis of Variance, Nonparametric Statistics, Probability, Reliability
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