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Draper, John F.; Porter, Andrew C. – 1970
The repeated measures design is of importance to those interested in doing learning studies concerned with repeated trials on a single type of task, repeated trials on different tasks, or both together crossed with and following different treatments. In doing analysis of variance with such data it is assumed that the data fits an additive model.…
Descriptors: Analysis of Variance, Research Design, Statistical Analysis, Statistics
Peer reviewed Peer reviewed
Cardinet, Jean; And Others – Journal of Educational Measurement, 1981
Since fixed and random facets may exist in objects of study as well as in conditions of observation, various modifications of the generalizability theory estimation formulas are required for different types of measurement designs. Various design modifications are proposed to improve reliability by reducing error variance. (Author/BW)
Descriptors: Analysis of Variance, Reliability, Research Design, Statistical Analysis
Benton, Roberta L. – 1989
Analyses of data are presented to illustrate the advantages of using a priori or planned comparisons rather than omnibus analysis of variance (ANOVA) tests followed by post hoc or posteriori testing. The two types of planned comparisons considered are planned orthogonal non-trend coding contrasts and orthogonal polynomial or trend contrast coding.…
Descriptors: Analysis of Variance, Comparative Analysis, Research Design, Statistical Analysis
Peer reviewed Peer reviewed
Bonett, Douglas G. – Educational and Psychological Measurement, 1982
A weighted harmonic means analysis is presented that incorporates all of the available data, preserves the planned proportionality of the design, and avoids the problems associated with the replacement of missing data with sample estimates. (Author/BW)
Descriptors: Analysis of Variance, Research Design, Research Problems, Statistical Analysis
Peer reviewed Peer reviewed
Humphreys, Lloyd G.; Fleishman, Allen – Journal of Educational Psychology, 1974
Descriptors: Analysis of Variance, Factor Analysis, Individual Differences, Research Design
Smawley, Robert R. – J Exp Educ, 1969
Descriptors: Analysis of Variance, Mathematical Models, Research Design, Research Methodology
Burrill, Donald F. – 1974
Techniques for detecting synergistic effects in analysis of variance designs are presented and discussed. These techniques make it possible to apply some kinds of theoretical insights to the data analysis phase of a study: either by seeking synergistic effects implied or predicted by theory, or by seeking evidence of synergies as alternative…
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Analysis
Peer reviewed Peer reviewed
Shine, 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 reviewed Peer reviewed
Gaito, 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 reviewed Peer reviewed
O'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
Peer reviewed Peer reviewed
Kolm, Paul – Educational and Psychological Measurement, 1984
Intended for use on Conversational Monitor System (CMS), the Tukey FORTRAN program facilitates pairwise comparisons among means following a significant Fratio in an analysis of variance. Tukey's statistic can be obtained by entering information regarding the design and analysis of variance results. Two variations are also available. (Author/BS)
Descriptors: Analysis of Variance, Computer Software, Research Design, Statistical Analysis
Peer reviewed Peer reviewed
Rae, Gordon – Educational and Psychological Measurement, 1982
Analyses of artificial data involving repeated, related binary measures to different samples suggest that Tideman's generalized chi-square statistic and conventional repeated-measures analysis of variance do not produce conflicting outcomes. Provided the appropriate assumptions are met, analysis of variance may provide a more versatile approach.…
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Analysis
Peer reviewed Peer reviewed
Huberty, Carl J.; Smith, Jerry D. – Multivariate Behavioral Research, 1982
A particular strategy for investigating effects from a multivariate analysis of variance (MANOVA) is proposed. The strategy involves multiple two-group multivariate analyses. The analysis strategy is described in detail and illustrated with real data sets. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Multivariate Analysis, Research Design
Peer reviewed Peer reviewed
Games, Paul A. – Educational and Psychological Measurement, 1975
Describes a set of five programs providing robust techniques that work well when the assumption of conventional analysis of variance have been violated. (Author/RC)
Descriptors: Analysis of Variance, Computer Programs, Matrices, Research Design
Peer reviewed Peer reviewed
Bell, John F. – Journal of Educational Statistics, 1985
This paper outlines the problems associated with the estimation of variance components in generalizability analyses using analysis of variance software, and discusses the most useful software currently available for this specialist application: the MIVQUE method of the Statistical Analysis System (SAS) procedure VARCOMP. (Author)
Descriptors: Analysis of Variance, Computer Software, Generalizability Theory, Matrices
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