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Tatsuoka, Maurice M. – Rev Educ Res, 1969
Descriptors: Analysis of Variance, Discriminant Analysis, Statistical Analysis
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Bray, James H.; Maxwell, Scott E. – Review of Educational Research, 1982
The available methods for analyzing and interpreting data with multivariate analysis of variance are reviewed, and guidelines for their use are presented. Causal models that underlie the various methods are presented to facilitate the use and understanding of the methods. (Author/PN)
Descriptors: Analysis of Variance, Discriminant Analysis, Mathematical Models, Multivariate Analysis
Hall, Charles E. – 1972
In multivariate analysis of variance the canonical variates of one effect may be correlated with the canonical variates of another effect. When the two effects are an interaction and a main effect this correlation interferes with the interpretation of the main effect. When the two effects are both main effects the interpretation of the common…
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Mathematical Models
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Lutz, Gary J. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Discriminant Analysis, Educational Research, Factor Analysis
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Taylor, Dianne L.; Tucker, Mary L. – Measurement and Evaluation in Counseling and Development, 1995
Describes two invariance tests, the jackknife procedure and Procrustean rotation, and applies them in a discriminant analysis for this heuristic study. Invariance testing helps to prevent overemphasis on findings of statistical significance and overgeneralization of a research result, and thus is gaining favor as an indicator of result importance.…
Descriptors: Analysis of Variance, Concurrent Validity, Discriminant Analysis, Heuristics
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Rock, Donald A.; And Others – Multivariate Behavioral Research, 1978
Systematic procedures are outlined for testing the assumption made on the dependent variables in a variety of statistical techniques. Specifically, procedures are outlined for testing the assumption that the dependent variables are measuring the same constructs in the same metrics with equivalent reliabilities across all subgroups. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Discriminant Analysis, Higher Education
Thompson, Bruce – 1989
Canonical correlation analysis is a sophisticated multivariate technique that subsumes all parametric methods (the "t"-test, analysis of variance, analysis of covariance, multivariate analysis of variance, multivariate analysis of covariance, and discriminant analysis) as special cases. This bibliography lists 83 applications of…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Conference Papers
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Larsson, Bernt – 1974
This report gives some simple examples of stability for one factor and 2 x 2 factorial analysis of variance, reliability and correlations. The findings are very different: from superstability (no transformation whatsoever can change the result) to almost total instability. This is followed by a discussion of applications to multivariate analysis,…
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Factor Analysis
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Huberty, Carl J.; Blommers, Paul J. – Multivariate Behavioral Research, 1974
Descriptors: Analysis of Covariance, Analysis of Variance, Classification, Discriminant Analysis
Carney, Paul – 1979
This introduction to the theory and application of multivariate analysis is designed to assist institutional researchers who are interested in using these techniques to analyze issues within their respective institutions. A brief introduction to multivariate theory, consisting of a rationale for multivariate statistics and an overview of selected…
Descriptors: Analysis of Variance, Conference Reports, Data Analysis, Discriminant Analysis
Cassel, Russell N. – 1971
This paper relates educational and psychological statistics to certain "Research Statistical Tools" (RSTs) necessary to accomplish and understand general research in the behavioral sciences. Emphasis is placed on acquiring an effective understanding of the RSTs and to this end they are are ordered to a continuum scale in terms of individual…
Descriptors: Analysis of Covariance, Analysis of Variance, Behavioral Science Research, Correlation
Cherukupalle, Nirmala devi – 1970
This bibliography contains works that illustrate and apply multivariate statistical methods in the analysis of empirical data in the field of urban and regional planning. The bibliography has been designed for use by planning students and the professional planner. The first section of the bibliography lists some elementary and intermediate level…
Descriptors: Analysis of Covariance, Analysis of Variance, Annotated Bibliographies, Bibliographies
Hall, Charles E.; And Others – 1973
The VARAN (variance Analysis) program is an addition to a series of computer programs for multivariate analysis of variance. The development of VARAN exploits the full linear model. Analysis of variance, univariate and multivariate, is the program's main target. Correlation analysis of all types is available with printout in the vernacular of…
Descriptors: Analysis of Variance, Computer Programs, Correlation, Data Processing
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Cohen, Jacob; Lee, Robert S. – Multivariate Behavioral Research, 1987
STATGRAPHICS, a statistical package written for the IBM PC/XT/AT, is reviewed. In addition to superb graphics, STATGRAPHICS is unequalled in time series procedures, quality control, linear programming, and other mathematical procedures. The modules for regression analysis, categorical data analysis, and nonparametric analysis are good, but contain…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Graphics, Computer Software
Girden, Ellen R. – 1996
This book in intended to train students in reading a research report critically. It uses actual research articles as examples including both good and flawed studies in each category and provides interpretation and evaluation of the appropriateness of the statistical analyses in each study. Individual chapters usually include two sample studies and…
Descriptors: Analysis of Variance, Case Studies, Classification, Comparative Analysis
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