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Bolding, James T.; Houston, Samuel R. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Correlation, Multiple Regression Analysis

Garlock, Jerry C. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Correlation, Multiple Regression Analysis

Pohlmann, 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

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

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

Roscoe, John T.; Kittleson, Howard M. – Journal of Experimental Education, 1972
Copies of a complete multiple regression computer program (incorporating the modified Gauss-Jordan procedure) and instructions for its use may be found in the senior author's recent book, The Funstat Package in Fortran IV,'' Holt, Rinehart and Winston. (Authors/CB)
Descriptors: Computer Programs, Correlation, Educational Research, Mathematical Applications

Newman, Isadore; And Others – Multiple Linear Regression Viewpoints, 1979
A Monte Carlo simulation was employed to determine the accuracy with which the shrinkage in R squared can be estimated by five different shrinkage formulas. The study dealt with the use of shrinkage formulas for various sample sizes, different R squared values, and different degrees of multicollinearity. (Author/JKS)
Descriptors: Computer Programs, Correlation, Goodness of Fit, Mathematical Formulas
Mayeske, George W.; Beaton, Albert E., Jr. – 1974
The results of an algorithm which is designed to take a set of commonality coefficients, either real or manipulated, and, if possible, produce one or more sets of regressor correlations that are consistent with them are examined. A number of different ways of resolving the higher order commonality values into their lower orders were tried and the…
Descriptors: Algorithms, Computer Programs, Correlation, Mathematical Applications
Beaton, Albert E., Jr. – 1973
Commonality analysis is an attempt to understand the relative predictive power of the regressor variables, both individually and in combination. The squared multiple correlation is broken up into elements assigned to each individual regressor and to each possible combination of regressors. The elements have the property that the appropriate sums…
Descriptors: Algorithms, Computer Programs, Correlation, Data Analysis

Black, Doris E., Comp. – 1978
Brief descriptions are provided of general-purpose mathematical and statistical software, including 27 "stand-alone" programs, three subroutine systems, and two nationally recognized statistical packages, which are available in the Air Force Human Resources Laboratory (AFHRL) software library. This index was created to enable researchers…
Descriptors: Analysis of Variance, Computer Programs, Correlation, Factor Analysis
Mason, Robert L.; McNeil, Keith A. – 1974
This regression system is an intermediate result of a project to develop a comprehensive regression computer system as a foundation for a complete statistical man-machine interface. The outstanding features of the system can be condensed into two principal concepts. First, the program dynamically allocates core resulting in no limits on title…
Descriptors: Analysis of Covariance, Computational Linguistics, Computer Programs, Correlation
Gray, William M.; Hofmann, Richard J. – 1969
Most responses to educational and psychological test items may be represented in binary form. However, such dichotomously scored items present special problems when an analysis of correlational interrelationships among the items is attempted. Two general methods of analyzing binary data are proposed by Horst to partial out the effects of…
Descriptors: Algorithms, Analysis of Covariance, Cluster Analysis, Cluster Grouping
Veldman, Donald J. – 1978
PRIME is a library of 44 batch-oriented computer routines: 20 major package programs, which use 12 statistical utility routines, and 12 other utility routines for input/output and data manipulation. This manual contains a general description of data preparation and coding, standard control cards, input deck arrangement, standard options, and…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Programs, Correlation
Hall, Charles E. – 1971
A set of symbols is presented along with logical operators which represent the possible manipulations of the linear model. The use of these symbols and operators is to simplify the representation of analysis of variance models, correlation models and factor analysis models. (Author)
Descriptors: Analysis of Variance, Computer Programs, Correlation, Factor Analysis
Simon, Charles W. – 1975
An "undesigned" experiment is one in which the predictor variables are correlated, either due to a failure to complete a design or because the investigator was unable to select or control relevant experimental conditions. The traditional method of analyzing this class of experiment--multiple regression analysis based on a least squares…
Descriptors: Bias, Computer Programs, Correlation, Data Analysis
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