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Timm, Neil H. – 1974
Multivariate models are demonstrated to analyze repeated measures profile and growth curve data when univariate or multivariate mixed model assumptions are not tenable. Standard mixed model tests are recovered from certain multivariate hypotheses. The procedures are illustrated using numerical examples. (Author/RC)
Descriptors: Hypothesis Testing, Matrices, Models, Nonparametric Statistics
Shoemaker, David M. – 1971
Multiple matrix sampling is a psychometric procedure in which a set of test items is subdivided randomly into subtests of items with each subtest administered to different subgroups of examinees selected at random from the examinee population. Although each examinee receives only a proportion of the complete set of items, the statistical model…
Descriptors: Computer Programs, Hypothesis Testing, Item Sampling, Mathematical Models
Werts, Charles E.; And Others – 1971
To resolve a recent controversy between Klein and Cleary and Levy, a model for dichotomous congeneric items is presented which has mean errors of zero, dichotomous true scores that are uncorrelated with errors, and errors that are mutually uncorrelated. (Author)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Mathematics
Bredemeier, Nancy Ida Nudd – 1970
The construction and validation of a learning hierarchy designed to assist instruction in the skills of science hypothesis formation and testing are described. Results of the validation using prospective elementary teachers are described, and the revised hierarchy is presented. Revalidation results for a different group of teacher trainees are…
Descriptors: College Science, Doctoral Dissertations, Hypothesis Testing, Instruction
Buggs, Mary Jo – 1969
This project was designed to test the hypothesis that "variation in quantity of practice in writing, when all other relevant factors are held constant, will result in variation of ability to write." Writing was limited to expository writing, and the factors held constant were quality of instruction, ability of students, and evaluation procedures…
Descriptors: English Instruction, Hypothesis Testing, Test Results, Tests
Brumet, Michael E. – 1976
Bayesian statistical inference is unfamiliar to many educational evaluators. While the classical model is useful in educational research, it is not as useful in evaluation because of the need to identify solutions to practical problems based on a wide spectrum of information. The reason Bayesian analysis is effective for decision making is that it…
Descriptors: Bayesian Statistics, Decision Making, Educational Research, Evaluation
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
Zarefsky, David – 1976
The argumentative perspective enables rhetoric to function in a manner analagous to science or analytic philosophy, yielding reliable knowledge about nonempirical topics, which other methods cannot address. In short, argumentation is the equivalent of hypothesis-testing. Forensics should offer laboratory experience in developing this perspective…
Descriptors: Debate, Higher Education, Hypothesis Testing, Logical Thinking
Peer reviewedRoth, Gary L.; Daniel, Wayne W. – Educational and Psychological Measurement, 1978
A table of critical values is presented for use with Chacko's ordered alternatives test for the analysis of variance. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Data
Peer reviewedShine, Lester C., II – Educational and Psychological Measurement, 1978
Procedures for carrying out a Shine Combined (repeated measures) Analysis of Variance (ANOVA) when there are unequal group sizes are described. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Research Design
Peer reviewedGaito, John – Educational and Psychological Measurement, 1978
The conduct of multiple post hoc comparison procedures following an analysis of variance is discussed. Various procedures are contrasted in terms of appropriateness, power, and other features. Octhogonal and nonorthogonal comparisons are discussed. (JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Design
Peer reviewedSchmeidler, James – Educational and Psychological Measurement, 1978
The basic assumption of Cooper's nonparametric test for trend (EJ 125 069) is questioned. It is contended that the proper assumption alters the distribution of the statistic and reduces its usefulness. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics, Research Design
Peer reviewedRotton, James; Schonemann, Peter H. – Educational and Psychological Measurement, 1978
In numerous applications of the analysis of variance, it is necessary to compute the power of F tests having numerically high alpha (significance) levels. This article tabulates the power of F tests for a variety of degrees of freedom. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Power (Statistics)
Peer reviewedCantor, Joan H.; Spiker, Charles C. – Journal of Experimental Child Psychology, 1978
A specially designed discrimination learning task was used to investigate whether the performance of kindergarten and first grade children could be improved through explicit training with a simple hypothesis-testing strategy. (Author/MP)
Descriptors: Discrimination Learning, Elementary School Students, Hypothesis Testing, Problem Solving
Peer reviewedO'Brien, Ralph G. – Psychometrika, 1978
Several ways of using traditional analysis of variance to test the homogeneity of variance in factorial designs with equal or unequal cell sizes are compared using theoretical and Monte Carlo results. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Design


