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Peer reviewedSara, Nathir G.; Rodgers, Frederick A. – Journal of Educational Administration, 1982
Data from a random sample of principals and superintendents were analyzed to test hypotheses concerning the relationships between self-monitoring and selected personal, organizational, and community variables. Findings were that community urbanity, cost per pupil of programs, and administrator's age are significant predictors of high…
Descriptors: Administrator Characteristics, Administrator Role, Community Characteristics, Educational Administration
Peer reviewedRobinson, John P. – American Behavioral Scientist, 1983
The Leisure Activity Survey is a large national data set collected in 1982 by the Bureau of the Census for the National Endowment for the Arts. Selected preliminary findings are discussed and several other uses of the data set are suggested. (Author/RM)
Descriptors: Behavioral Science Research, Leisure Time, Life Style, Multiple Regression Analysis
Peer reviewedReeves, Byron; Garramone, Gina – Human Communication Research, 1982
Measured children's identification with and perceived reality of television characters and children's rating of peers on 11 traits. Found, among other results, that identification with television characters was a significant predictor of the mean evaluation of peers, and that television viewing was a significant predictor of the variance in…
Descriptors: Elementary School Students, Multiple Regression Analysis, Peer Evaluation, Perception
Peer reviewedWalberg, Herbert J.; And Others – American Educational Research Journal, 1981
The science achievement scores of a large sample of 13-year-olds were regressed to test a psychological theory of educational productivity, and to explore the usefulness of the National Assessment of Educational Progress data for secondary analysis for policy purposes. (Author/GK)
Descriptors: Academic Achievement, Adolescents, Junior High Schools, Models
Peer reviewedMacCallum, Robert C.; And Others – Applied Psychological Measurement, 1979
Questions are raised concerning differences between traditional metric multiple regression, which assumes all variables to be measured on interval scales, and nonmetric multiple regression. The ordinal model is generally superior in fitting derivation samples but the metric technique fits better than the nonmetric in cross-validation samples.…
Descriptors: Comparative Analysis, Multiple Regression Analysis, Nonparametric Statistics, Personnel Evaluation
Peer reviewedLeitner, Dennis W. – Multiple Linear Regression Viewpoints, 1979
This paper relates common statistics from contingency table analysis to the more familiar R squared terminology in order to better understand the strength of the relation implied. The method of coding contingency tables was shown, as well as how R squared related to phi, V, and chi squared. (Author/CTM)
Descriptors: Correlation, Expectancy Tables, Hypothesis Testing, Multiple Regression Analysis
Peer reviewedBrunk, H. D. – Psychometrika, 1981
Bayesian techniques are adapted to the estimation of stimulus-response curves. Illustrative examples deal with estimation of person characteristic curves and item characteristic curves in the context of mental testing, and with estimation of a stimulus-response curve using data from a psychophysical experiment. (Author/JKS)
Descriptors: Bayesian Statistics, Item Analysis, Latent Trait Theory, Least Squares Statistics
Peer reviewedMusgrove, Walter J.; Musgrove, Glenn J. – Journal of Employment Counseling, 1979
This study attempts to determine the relationship between the subtests of the General Education Performance Index (GEPI) and the revised version of the General Educational Development Test (GED), and reports a technique whereby performance on the GEPI may be used to predict performance on the GED. (Author)
Descriptors: Adults, Correlation, High School Equivalency Programs, Multiple Regression Analysis
Peer reviewedAttiyeh, Richard; Engle, Robert F. – National Tax Journal, 1979
Data suggest that voters did recognize the implications of substantial reductions in government expenditures in Proposition 13 and voted to tolerate them. Journal availability: see EA 511 898. (Author/IRT)
Descriptors: Expenditures, Government (Administrative Body), Local Government, Multiple Regression Analysis
Peer reviewedOverall, John E. – Applied Psychological Measurement, 1980
The use of general linear regression methods for the analysis of categorical data is recommended. The general linear model analysis of a 0,1 coded response variable produces estimates of the same response probabilities that might otherwise be estimated from frequencies in a multiway contingency table. (Author/CTM)
Descriptors: Adults, Alcoholism, Analysis of Variance, Employment Level
Peer reviewedClegg, Ambrose A., Jr.; And Others – Multiple Linear Regression Viewpoints, 1979
The application of multiple linear regression to the identification of appropriate criterion variables and the prediction of enrollment in college courses during a period of major rapid decline (1972-1978) are discussed. An example is presented. (Author/JKS)
Descriptors: Declining Enrollment, Enrollment Influences, Enrollment Projections, Higher Education
Peer reviewedGarms, Walter I. – Journal of Education Finance, 1979
Presents a new method of measuring the adequacy and equity of school finance systems using the multiple regression technique. It enables the separation of provisions for differences in district wealth from differences in tax rate, and of both of these from the differences in provision for needs and costs. (Author/IRT)
Descriptors: Educational Finance, Elementary Secondary Education, Equal Education, Measurement Techniques
Peer reviewedHedges, Larry V.; Majer, Kenneth – Educational and Psychological Measurement, 1976
The effect of adding a high school rating factor to high school grade point average and aptitude test scores in predicting freshman grade point average for minority students was investigated. The rating factor, based on prior students' performances from the same high school, added little to the prediction equation. (JKS)
Descriptors: College Admission, College Entrance Examinations, Grades (Scholastic), Minority Groups
Peer reviewedPrice, Forrest W.; Kim, Suk Hi – Educational and Psychological Measurement, 1976
High school grades and ACT scores were used to predict grade point average for junior and senior business students. A large proportion of the variance in grade point average was explained by using grades and ACT scores with the aptitude measure making a larger contribution to the prediction equation. (JKS)
Descriptors: Business Education, College Admission, College Entrance Examinations, Grades (Scholastic)
Peer reviewedZuelke, Dennis C.; Frohreich, Lloyd E. – Journal of Collective Negotiations in the Public Sector, 1977
Examines salary data for a sample of 50 small and medium-sized school districts in Wisconsin to determine how collective bargaining affects teacher salaries compared to other factors. Concludes that bargaining has had a significant negative effect on teacher salaries in these districts. (Author/JG)
Descriptors: Collective Bargaining, Elementary Secondary Education, Multiple Regression Analysis, State Surveys


