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Huberty, Carl J.; Morris, John D. – Educational and Psychological Measurement, 1988
The multitude of procedures for testing hypotheses about mean contrasts often presented in statistical methods textbooks is unwarranted. This article demonstrates that nearly all such research can be handled by a single contrast test statistic often attributed to R. A. Fisher. (TJH)
Descriptors: Analysis of Variance, Multiple Regression Analysis, Probability
Peer reviewed Peer reviewed
Haase, Richard F. – Educational and Psychological Measurement, 1976
Illustrates the use of multiple regression analysis for computing conditional probabilities of occurrence of events based on the functional relationship between a dependent response variate and one or more independent predictors. (RC)
Descriptors: Analysis of Variance, Multiple Regression Analysis, Predictor Variables, Probability
Peer reviewed Peer reviewed
Woodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1976
A convenient, two-stage general linear regression approach to analysis of variance is described for use in univariate or multivariate designs involving one repeated measurement factor and one or more independent classification factors. A brief illustrative example is provided. (Author)
Descriptors: Analysis of Variance, Interaction, Multiple Regression Analysis, Multivariate Analysis
Peer reviewed Peer reviewed
Woodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Multiple Regression Analysis, Statistical Significance
Peer reviewed Peer reviewed
Malgady, Robert G. – Educational and Psychological Measurement, 1976
An analysis of variance procedure for testing differences in r-squared, the coefficient of determination, across independent samples is proposed and briefly discussed. The principal advantage of the procedure is to minimize Type I error for follow-up tests of pairwise differences. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Multiple Regression Analysis, Predictor Variables
Peer reviewed Peer reviewed
Gibbons, James A.; Sherwood, Robert D. – Educational and Psychological Measurement, 1985
This article reviews some of the properties of criterion-scaled regression analysis, especially as it relates to the analysis of a repeated measures/randomized block design. (Author/LMO)
Descriptors: Analysis of Variance, Correlation, Multiple Regression Analysis, Statistical Studies
Peer reviewed Peer reviewed
Werts, Charles E.; Linn, Robert L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Covariance, Analysis of Variance, Mathematical Models, Multiple Regression Analysis
Peer reviewed Peer reviewed
Blair, R. Clifford; Higgins, J.J. – Educational and Psychological Measurement, 1978
The controversy surrounding regression methods for unbalanced factorial designs is addressed. The statistical hypotheses being tested under the various methods, as well as salient issues in the use of these methods, are discussed. The use of statistical computer packages is also discussed. (Author/JKS)
Descriptors: Analysis of Variance, Computers, Correlation, Hypothesis Testing
Peer reviewed Peer reviewed
Krus, David J.; Krus, Patricia H. – Educational and Psychological Measurement, 1978
The conceptual differences between coded regression analysis and traditional analysis of variance are discussed. Also, a modification of several SPSS routines is proposed which allows for direct interpretation of ANOVA and ANCOVA results in a form stressing the strength and significance of scrutinized relationships. (Author)
Descriptors: Analysis of Covariance, Analysis of Variance, Computer Programs, Multiple Regression Analysis
Peer reviewed Peer reviewed
McLaughlin, Donald H. – Educational and Psychological Measurement, 1975
Develops a testing procedure based on a model including treatment effects on residual variances. (Author/RC)
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Hypothesis Testing, Interaction
Peer reviewed Peer reviewed
Smith, Richard L.; And Others – Educational and Psychological Measurement, 1992
Different approaches to defining suppression in multiple regression/correlation are compared, and their differences are illustrated. A test for determining the significance of a suppressor effect, which is based on the definition of suppression of W. F. Velicer, is extended to the general multiple predictor case and analysis of variance. (SLD)
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Definitions