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A General Multivariate Analysis of Variance Computer Program
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
An Empirical Investigation of the Effects of Heterogeneous Regression Slopes in Analysis of Covariance
Peer reviewed Peer reviewed
Hamilton, Basil L. – Educational and Psychological Measurement, 1977
The effects of the violation of the assumption of homogeneity of regression on the Type I error rate and on the power of analysis of covariance are investigated. The results indicate that analysis of covariance is robust when sample sizes are equal. (Author/JKS)
Descriptors: Analysis of Covariance, Goodness of Fit, Hypothesis Testing, Multiple Regression Analysis
The Importance of Structure Coefficients in Regression Research.
Peer reviewed Peer reviewed
Thompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1985
Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Estimation and Testing of Partial Covariances, Correlations, and Regression Weights Using Maximum Likelihood Factor Analysis.
Peer reviewed Peer reviewed
And Others; Werts, Charles E. – Educational and Psychological Measurement, 1979
It is shown how partial covariance, part and partial correlation, and regression weights can be estimated and tested for significance by means of a factor analytic model. Comparable partial covariance, correlations, and regression weights have identical significance tests. (Author)
Descriptors: Analysis of Covariance, Correlation, Factor Analysis, Maximum Likelihood Statistics
A Test for Homogeneity of Regression without Homogeneity of Variance
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
Johnson-Neyman Revisited: Determining Interactions Among Group Regressions and Plotting Regions of Significance in the Case of Two Groups, Two Predictors, and One Criterion
Peer reviewed Peer reviewed
Borich, Gary D.; Wunderlich, Kenneth W. – Educational and Psychological Measurement, 1973
Descriptors: Analysis of Covariance, Computer Programs, Homogeneous Grouping, Input Output
Suppressor Variables in Multiple Regression/Correlation.
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