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Educational and Psychological… | 12 |
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Morris, John D. | 2 |
Bolding, James T. | 1 |
Borich, Gary D. | 1 |
Capra, J. R. | 1 |
Ehart, Jarvis | 1 |
Elster, R. S. | 1 |
Krus, David J. | 1 |
Krus, Patricia H. | 1 |
Landry, Richard G. | 1 |
Lindem, Alfred C. | 1 |
Llabre, Maria M. | 1 |
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Morris, John D. – Educational and Psychological Measurement, 1976
A Fortran IV computer program is presented which will unambiguously partition the explained variance of a dependent variable into those parts due uniquely to each independent variable and to all possible combinations of independent variables through commonality analysis. Tests of significance and documentation are provided. (Author/JKS)
Descriptors: Computer Programs, Multiple Regression Analysis

Landry, Richard G.; Ehart, Jarvis – Educational and Psychological Measurement, 1973
A printout of the program and sample output will be provided by the authors upon request. (Authors/CB)
Descriptors: Computer Programs, Input Output, Multiple Regression Analysis, Predictor Variables

Bolding, James T. – Educational and Psychological Measurement, 1972
Descriptors: Computer Programs, Data Processing, Models, Multiple Regression Analysis

Woodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Multiple Regression Analysis, Statistical Significance

Williams, John D.; Lindem, Alfred C. – Educational and Psychological Measurement, 1971
Setwise regression analysis is a new technique developed to allow a stepwise solution when the interest is in sets of variables rather than in single variables. (CK)
Descriptors: Computer Programs, Correlation, Multiple Regression Analysis, Predictor Variables

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

Skinner, Harvey A. – Educational and Psychological Measurement, 1977
EXPLORE is a flexible computer program for analyzing multiple data sets. The investigator has the option of focusing on the original variables, or of selecting a reduced rank solution where original variables are summarized by a principal components analysis. (Author/JKS)
Descriptors: Computer Programs, Correlation, Data Analysis, Factor Analysis

Capra, J. R.; Elster, R. S. – Educational and Psychological Measurement, 1971
This method of generating multivariate data differs from previous techniques in that it uses Crout factorization to develop the desired variance-covariance matrix. (Author/CK)
Descriptors: Computer Programs, Mathematical Models, Mathematics, Multiple Regression Analysis

Morris, John D. – Educational and Psychological Measurement, 1979
Several advantages to the use of different kinds of factor scores as independent variables in a multiple regression equation are reported. A computer program is presented which will calculate a regression equation using a variety of factor scores. (Author/JKS)
Descriptors: Computer Programs, Factor Analysis, Multiple Regression Analysis, Program Descriptions

Sands, William A. – Educational and Psychological Measurement, 1978
Two computer programs (one batch, one interactive) are designed to provide statistics for a weighted linear combination of several component variables. Both programs provide mean, variance, standard deviation, and a validity coefficient. (Author/JKS)
Descriptors: Computer Programs, Data Processing, Multiple Regression Analysis, Online Systems

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

Borich, Gary D.; Wunderlich, Kenneth W. – Educational and Psychological Measurement, 1973
Descriptors: Analysis of Covariance, Computer Programs, Homogeneous Grouping, Input Output