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Peer reviewedAyers, Jerry B.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Academic Achievement, College Language Programs, Language Tests, Multiple Regression Analysis
Peer reviewedLu, Yao-Chi; Tweeten, Luther – Growth and Change, 1973
Quantifies the impact of time spent riding a bus on 4th, 6th, 8th, and 11th grade students' achievement based on data from a 1970 Statewide survey of Oklahoma students. The null hypothesis was tested that busing has no effect on student achievement. Findings revealed that at an .01 level of significance, bus riding time reduces achievement for 4th…
Descriptors: Academic Achievement, Bus Transportation, Multiple Regression Analysis, Part Time Employment
Peer reviewedBortner, Rayman W.; Hultsch, David F. – Developmental Psychology, 1972
Personal time perspective was defined as self-assessment at present in comparison with 5 years backward (retrotension) and forward (protension). (Authors)
Descriptors: Adults, Age Differences, Developmental Psychology, Multiple Regression Analysis
Peer reviewedNewman, Anabel P. – Reading Research Quarterly, 1972
Descriptors: Grade 1, Multiple Regression Analysis, Predictor Variables, Reading Achievement
Peer reviewedDurbin, Elizabeth – Journal of Human Resources, 1973
Using 1960 Census data for New York City, regression equations are developed to test empirically: (1) the relationship between the proportion of female-headed households and ADC incidence and (2) the effect of ADC incidence on male and female labor force participation rates. (Editor)
Descriptors: Economic Research, Labor Force, Labor Needs, Models
Peer reviewedAigner, Dennis J. – Management Science, 1972
Establishes an argument that questions the validity of one test'' of goodness-of-fit (the extent to which a series of obtained measures agrees with a series of theoretical measures) for the simulated time path of a simple endogenous (internally developed) variable in a simultaneous, perhaps dynamic econometric model. (Author)
Descriptors: Computer Science, Decision Making, Goodness of Fit, Models
Peer reviewedReed, Cheryl L.; And Others – Journal of Educational Measurement, 1972
Purpose of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of student nurses' grade point averages. (Authors)
Descriptors: Grade Point Average, Mathematical Models, Multiple Regression Analysis, Predictive Measurement
Barro, Stephen M. – Phi Delta Kappan, 1970
Assuming a value added model of education, accountability measures can be developed to improve resource allocation, to more effectively select and assign personnel, and to enhance program evaluation and research. (RA)
Descriptors: Accountability, Educational Administration, Educational Objectives, Educational Responsibility
Peer reviewedThompson, Bruce – Perceptual and Motor Skills, 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis. This article proposes a logic for conducting stepwise canonical correlation analyses, based upon evaluation of canonical communality coefficients. The procedure is a direct analogue of stepwise multiple regression. (Author/RD)
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
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


