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Winans, Glen T. – 1986
General fund resource allocation and utilization in 27 academic departments at the University of California, Santa Barbara, during 1977-1984 were examined. A two-step research methodology was employed to provide a comprehensive analysis of possible budgetary determinants. The first step entailed a pooled multivariate regression analysis with eight…
Descriptors: Administrator Attitudes, Budgeting, Case Studies, Departments
Cummings, Corenna C. – 1982
The accuracy and variability of 4 cross-validation procedures and 18 formulas were compared concerning their ability to estimate the population multiple correlation and the validity of the sample regression equation in the population. The investigation included two types of regression, multiple and stepwise; three sample sizes, N = 30, 60, 120;…
Descriptors: Correlation, Error of Measurement, Mathematical Formulas, Multiple Regression Analysis
Peer reviewed Peer reviewed
Gross, Alan L.; And Others – Educational and Psychological Measurement, 1974
Descriptors: Academic Achievement, College Students, Females, Grade Point Average
Tate, Joel C. – Community College Social Science Quarterly, 1974
The major purpose of this investigation is to identify the extent to which selected motivational, aptitude, interest, and attitudinal criteria predict academic success in social science courses for transfer and occupational-technical community college students. (Author)
Descriptors: Academic Achievement, Community Colleges, Data Collection, Definitions
Peer reviewed Peer reviewed
Gordon, Nancy M.; And Others – American Economic Review, 1974
Investigates the sources of wage differentials for the faculty of a large urban university. Variables include sex, race, department differentials, age, seniority, education, and academic rank. (Author/DN)
Descriptors: Higher Education, Multiple Regression Analysis, Predictor Variables, Racial Discrimination
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Brown, Ric; Carbonari, Joseph P. – 1977
Identification and explication of construct relationships, under conditions of extraneous variable control in multiple regression and its multivariate analog, canonical analysis, were studied. Several data models were generated as a function of the interaction of partial correlation and orthogonal linear transformations on nursing examination…
Descriptors: Correlation, Factor Analysis, Mathematical Models, Multiple Regression Analysis
Pohlmann, John T. – 1979
Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…
Descriptors: Computer Programs, Error Patterns, Mathematical Models, Multiple Regression Analysis
Rakow, Ernest A. – 1978
Ridge regression is presented as an analytic technique to be used when predictor variables in a multiple linear regression situation are highly correlated, a situation which may result in unstable regression coefficients and difficulties in interpretation. Ridge regression avoids the problem of selection of variables that may occur in stepwise…
Descriptors: Academic Achievement, Correlation, Elementary Secondary Education, Grade 4
Kukuk, Cris R.; And Others – 1979
The purposes of this paper are to provide an explanation of the way in which suppressor variables operate in multiple regression, and to provide illustrations of their effects with actual social science data. Examples are reviewed in which one predictor accounts for more of the variance in the dependent variable when another predictor is included,…
Descriptors: Analysis of Variance, Correlation, Criteria, Multiple Regression Analysis
Davis, Benjamin G. – 1976
Since migration is strongly influenced by economic variables, an economic model was developed to identify, locate, and track migrant and seasonal farmworkers as they move throughout the United States. Focusing on the Florida-based migrant agricultural workers who migrated at least once during the past five years, the model included the following…
Descriptors: Agricultural Laborers, Economic Factors, Labor Economics, Migrant Workers
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
Williams, John D. – 1976
The use of characteristic coding (dummy coding) is made in showing solutions to four multivariate problems using canonical analysis. The canonical variates can be themselves analyzed by the use of multiple linear regression. When the canonical variates are used as criteria in a multiple linear regression, the R2 values are equal to 0, where 0 is…
Descriptors: Analysis of Variance, Hypothesis Testing, Matrices, Multiple Regression Analysis
Armstrong, Roberta A. – 1975
The development of new admissions standards for freshmen entering the College of Liberal Arts, the College of Forestry, the Institute of Technology, and the University of Minnesota at Morris is described and supporting research presented. The new admissions standards, which are based on a multiple correlation and regression approach using first…
Descriptors: Academic Standards, Admission Criteria, Higher Education, Institutional Research
Redman, John C.; Middleton, James W. – 1973
In 1965 the Court of Appeals of Kentucky ruled that all property should be assessed at 100 percent of fair market value. In compliance with the court decision, the county assessors began reassessing properties in January 1966. A great controversy arose over the new assessment procedures and problems. This study evaluates the results of the 1966…
Descriptors: Case Studies, Computer Programs, Data Processing, Legislation
Gustafson, Richard A. – 1971
Twenty-nine community characteristics were studied to determine which were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal aid allocations. Cross-validation of regression models to predict future…
Descriptors: Community Characteristics, Federal Aid, Models, Multiple Regression Analysis
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