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Peer reviewedWolfe, Lee M. – Multiple Linear Regression Viewpoints, 1977
The analytical procedure of path analysis is described in terms of its use in nonexperimental settings in the social sciences. The description assumes a moderate statistical background on the part of the reader. (JKS)
Descriptors: Critical Path Method, Mathematical Models, Multiple Regression Analysis, Research Tools
Peer reviewedKnapp, Martin R. J. – Journal of Gerontology, 1976
Taking multidimensional life satisfaction as the basic premise of this study, a four-equation multiple regression model was constructed for its prediction. Results indicated that the pattern of regressor influence varied greatly between equations, providing fairly specific evidence on a number of previously espoused hypotheses. (Author)
Descriptors: Gerontology, Multiple Regression Analysis, Older Adults, Predictive Measurement
Peer reviewedSkinner, C. J. – Psychometrika, 1984
Multivariate selection can be represented as a linear transformation in a geometric framework. In this note this approach is extended to describe the effects of selection on regression analysis and to adjust for the effects of selection using the inverse of the linear transformation. (Author/BW)
Descriptors: Factor Analysis, Geometric Concepts, Mathematical Formulas, Multiple Regression Analysis
Peer reviewedHinkle, Dennis E.; Oliver, J. Dale – Journal of Vocational Education Research, 1986
Multiple regression analysis (MRA) may be used when both continuous and categorical variables are included as independent research variables. The use of MRA with categorical variables involves dummy coding, that is, assigning zeros and ones to levels of categorical variables. Caution is urged in results interpretation. (Author/CH)
Descriptors: Analysis of Variance, Educational Research, Multiple Regression Analysis, Research Methodology
Peer reviewedKoopman, Raymond F. – Psychometrika, 1976
This note proposes an alternative implementation of the regression method which should be slightly faster than the principal components methods for estimating missing data. (RC)
Descriptors: Comparative Analysis, Data Analysis, Factor Analysis, Multiple Regression Analysis
Peer reviewedFrane, James W. – Psychometrika, 1976
Several procedures are outlined for replacing missing values in multivariate analyses by regression values obtained in various ways, and for adjusting coefficients (such as factor score coefficients) when data are missing. None of the procedures are complex or expensive. (Author)
Descriptors: Correlation, Discriminant Analysis, Factor Analysis, Multiple Regression Analysis
Peer reviewedHuberty, Carl J. – Journal of Experimental Education, 1972
It is shown that in the special case of just two criterion groups the predictor variables may be equivalently ordered (with respect to contribution to prediction or discrimination) by the univariate F-ratios and by estimates of the predictor versus the linear discriminant function correlations. (Author)
Descriptors: Behavioral Science Research, Discriminant Analysis, Mathematical Applications, Multiple Regression Analysis
Peer reviewedRoscoe, 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
Peer reviewedMuhich, Dolores – Educational and Psychological Measurement, 1972
Major objective in this study was the structuring of a predictive model that would assess combinations of variables that most effectively and parsimoniously measure and forecast college success. (Author)
Descriptors: Criteria, Mathematical Models, Multiple Regression Analysis, Predictive Measurement
Peer reviewedBellante, Donald M. – Journal of Human Resources, 1972
Benefit-cost relationships are estimated for many subgroups of disabled persons. (BH)
Descriptors: Comparative Analysis, Cost Effectiveness, Disabilities, Individual Characteristics
Peer reviewedLeppert, Edward; Hoy, Wayne K. – Journal of Experimental Education, 1972
Results of this study support the view that ideology formation is a function of both personality and social system factors. (Authors/MB)
Descriptors: Discipline, Educational Research, Individual Psychology, Measurement
Peer reviewedCapra, 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
Peer reviewedSchmidt, Frank L. – Educational and Psychological Measurement, 1971
Descriptors: Multiple Regression Analysis, Predictor Variables, Psychology, Raw Scores
Peer reviewedHelsel, A. Ray – Journal of Educational Administration, 1971
Tests hypotheses on educators' orientations toward pupil control. (Author)
Descriptors: Authoritarianism, Educational Research, Humanism, Multiple Regression Analysis
Peer reviewedRock, Donald A.; And Others – Educational and Psychological Measurement, 1970
Descriptors: Monte Carlo Methods, Multiple Regression Analysis, Predictive Measurement, Predictor Variables


