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| Multiple Regression Analysis | 63 |
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Peer reviewedMorris, 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
Peer reviewedBolding, James T.; Houston, Samuel R. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Correlation, Multiple Regression Analysis
Peer reviewedGarlock, Jerry C. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Correlation, Multiple Regression Analysis
Peer reviewedMarquette, J. F.; Dufala, M. M. – Multiple Linear Regression Viewpoints, 1978
Ridge regression is an approach to ameliorating the problem of large standard errors of regression estimates when predictor variables are highly intercorrelated. An interactive computer program is presented which allows for investigation of the effects of using various ridge regression adjustment values. (JKS)
Descriptors: Computer Programs, Multiple Regression Analysis, Predictor Variables
Peer reviewedPohlmann, John T.; Moore, James F. – Multiple Linear Regression Viewpoints, 1977
A technique is presented which applies the Neyman theory of confidence intervals to interval estimation of the squared multiple correlation coefficient. A computer program is presented which can be used to apply the technique. (Author/JKS)
Descriptors: Computer Programs, Correlation, Hypothesis Testing, Multiple Regression Analysis
Peer reviewedGross, Alan L; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Hypothesis Testing, Multiple Regression Analysis, Programing
Peer reviewedLandry, 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
Peer reviewedBolding, James T. – Educational and Psychological Measurement, 1972
Descriptors: Computer Programs, Data Processing, Models, Multiple Regression Analysis
Peer reviewedWoodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Multiple Regression Analysis, Statistical Significance
Peer reviewedWilliams, 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
Peer reviewedJordan, Thomas E. – Multiple Linear Regression Viewpoints, 1978
The use of interaction and non-linear terms in multiple regression poses problems for determining parsimonious models. Several computer programs for using these terms are discussed. (JKS)
Descriptors: Computer Programs, Data Analysis, Mathematical Models, Multiple Regression Analysis
Williams, John D.; Lindem, Alfred C. – College of Education Record (University of North Dakota), 1971
The authors describe a computer program which deals with sets of variables rather than with one variable at a time. (MM)
Descriptors: Computer Programs, Data Analysis, Educational Research, Multiple Regression Analysis
Peer reviewedLuftig, Jeffrey T.; Norton, Willis P. – Journal of Epsilon Pi Tau, 1981
This article examines simple and multiple regression analysis as forecasting tools, and details the process by which multiple regression analysis may be used to increase the accuracy of the technology forecast. (CT)
Descriptors: Computer Programs, Data Analysis, Multiple Regression Analysis, Prediction
Peer reviewedLlabre, 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
Download full textGott, C. Deene – 1978
This description of the technical details required for using the HIER-GRP computer program, which was developed to group or cluster regression equations in an iterative manner so as to minimize the overall loss of predictive efficiency at each iteration, contains a discussion of the basic algorithm, an outline of the essential steps,…
Descriptors: Algorithms, Cluster Analysis, Computer Programs, Multiple Regression Analysis
