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Considerations When Making Inferences Within the Analysis of Covariance Model
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Werts, Charles E.; Linn, Robert L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Covariance, Analysis of Variance, Mathematical Models, Multiple Regression Analysis
Equal Cell Size and Nonorthogonality in ANCOVA.
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Llabre, Maria M.; Ware, William B. – Educational and Psychological Measurement, 1980
Computer programs for analysis of covariance use classical experimental, regression, or hierarchical methods of least squares. In a 3 X 3 factorial experiment with equal cell frequencies, three solutions yielded different sums of squares for main effects although correlation between variables was negligible and cell frequencies were equal.…
Descriptors: Analysis of Covariance, Computer Programs, Least Squares Statistics, Multiple Regression Analysis
An Empirical Investigation of the Effects of Heterogeneous Regression Slopes in Analysis of Covariance
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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
Another Perspective on "Linear Regression, Structural Relations, and Measurement Error"
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Werts, Charles E.; And Others – Educational and Psychological Measurement, 1973
Perspective on article by P. Isaac published in the Psychological Bulletin, 1970, 74, 213-18. (CB)
Descriptors: Analysis of Covariance, Error of Measurement, Mathematical Models, Measurement Techniques
The Partitioning of Variance Habits of Correlational and Experimental Psychologists: The Two Disciplines of Scientific Psychology Revisited
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
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
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
Analyzing School Effects: ANCOVA With a Fallible Covariate
Peer reviewed Peer reviewed
Werts, Charles E.; Linn, Robert L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Covariance, Correlation, Educational Environment, Error of Measurement