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Smith, Kendal N.; Lamb, Kristen N.; Henson, Robin K. – Gifted Child Quarterly, 2020
Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 (N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its…
Descriptors: Multivariate Analysis, Academically Gifted, Gifted Education, Educational Research

Mueller, Ralph O.; Cozad, James B. – Journal of Educational Statistics, 1993
Although comments of D.J. Nordlund and R. Nagel are welcomed, their arguments are not sufficient to accept the recommendation of using total variance estimates to standardize canonical discriminant function coefficients. If standardized coefficients are used to help interpret a discriminant analysis, pooled within-group variance estimates should…
Descriptors: Correlation, Discriminant Analysis, Estimation (Mathematics), Research Methodology
Curlette, William L. – 1984
This research describes the statistics and interpretations currently used for reporting discriminant analysis results and attempts to provide some approximate guidelines. Articles in the last 10 years of the American Educational Research Journal (AERT) were scanned. Eighteen studies containing 86 different discriminant analyses were identified and…
Descriptors: Correlation, Discriminant Analysis, Educational Research, Measurement Techniques
Barcikowski, Robert S.; Elliott, Ronald S. – 1991
The contribution of individual variables to overall multivariate significance in a multivariate analysis of variance (MANOVA) is investigated using a combination of canonical discriminant analysis and Roy-Bose simultaneous confidence intervals. Difficulties with this procedure are discussed, and its advantages are illustrated using examples based…
Descriptors: Comparative Analysis, Correlation, Discriminant Analysis, Mathematical Models
Meshbane, Alice; Morris, John D. – 1994
A method for comparing the cross validated classification accuracies of linear and quadratic classification rules is presented under varying data conditions for the k-group classification problem. With this method, separate-group as well as total-group proportions of correct classifications can be compared for the two rules. McNemar's test for…
Descriptors: Classification, Comparative Analysis, Correlation, Discriminant Analysis
Goldhor, Herbert – 1981
An evaluation of 275 titles of adult individual biography selected at random reveals no essential correlation between a quality estimate and any of several measures of circulation. The titles were evaluated for their quality by determining whether or not each title was found listed in eight reviewing journals, five book selection tools, and five…
Descriptors: Adults, Biographies, Correlation, Discriminant Analysis
Urry, Vern W. – 1971
Equations are derived to enable the graphic approximation of the item parameters of the stochastic mental test models, i.e., the generalized normal ogive and logistic models. The item parameters for the models are discriminatory power, difficulty, and probability of chance success. Suggested uses for the approximations were to provide a basis for…
Descriptors: Correlation, Discriminant Analysis, Guessing (Tests), Item Analysis
Thompson, Bruce – 1992
Conventional statistical significance tests do not inform the researcher regarding the likelihood that results will replicate. One strategy for evaluating result replication is to use a "bootstrap" resampling of a study's data so that the stability of results across numerous configurations of the subjects can be explored. This paper…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Discriminant Analysis
Coman, Liliana; Richardson, Julie – Canadian Journal on Aging, 2006
The authors conducted a systematic review of studies examining correlations between assessments of function not obtained using self-report and those obtained using performance-based measures for community-dwelling older adults. Methods: Articles for this review were identified using electronic searching in MEDLINE, CINHAL, and AGELINE and…
Descriptors: Disabilities, Self Disclosure (Individuals), Performance Based Assessment, Correlation
Huberty, Carl J. – 1971
This study was concerned with various schemes for reducing the number of variables in a multivariate analysis. Two sets of illustrative data were used; the numbers of criterion groups were 3 and 5. The proportion of correct classifications was employed as an index of discriminatory power of each subset of variables selected. Of the four procedures…
Descriptors: Cluster Analysis, Correlation, Criteria, Discriminant Analysis

Hale, Robert L.; Dougherty, Donna – Journal of School Psychology, 1988
Compared the efficacy of two methods of cluster analysis, the unweighted pair-groups method using arithmetic averages (UPGMA) and Ward's method, for students grouped on intelligence, achievement, and social adjustment by both clustering methods. Found UPGMA more efficacious based on output, on cophenetic correlation coefficients generated by each…
Descriptors: Adolescents, Children, Classification, Cluster 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

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
Tuckman, Bruce W. – 1972
Research is a useful tool for educators because of its ability to uncover causal relationships between variables that are often obscured in field investigations. This textbook presents basic methodological information that has been designed for and proven to assist the educator who seeks to move himself from the laboratory to the field. The book…
Descriptors: Analysis of Variance, Correlation, Data Processing, Discriminant Analysis