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Walberg, 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

Anderson, Gary J.; Walberg, Herbert J. – Alberta Journal of Educational Research, 1972
Eight of the hypotheses supported by the Harvard data were again supported in the Montreal sample, though only two of the replications reached statistical significance. (Authors)
Descriptors: Class Size, Classroom Environment, Educational Research, High Schools

Walberg, Herbert J.; Bargen, Mark – American Educational Research Journal, 1971
See EJ 030 570. (CK)
Descriptors: Analytical Criticism, Grade 1, Multiple Regression Analysis, Paired Associate Learning

Walberg, Herbert J. – Journal of Educational Psychology, 1972
The hypothesis that the correlation of measures on the same characteristic at two points in time will approach unity when the relevant, intervening environment is added to the prediction equation is tested on a sample of high school physics students. (Author/AG)
Descriptors: High School Students, Hypothesis Testing, Learning Processes, Models

Walberg, Herbert J. – American Educational Research Journal, 1971
Similarities between regression analysis and analysis of variance are noted and it is argued that the former has advantages over the latter. It is also argued that canonical correlation analysis is more suitable than factor analysis in certain cases. The argument is illustrated with four recent pieces of educational research. (DG)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Factor Analysis

Walberg, Herbert J.; Rasher, Sue Pinzur – Journal of Educational Statistics, 1976
Cut-and-try techniques that point to appropriate transformations of variables and to the selection of sets of variables for an equation that may improve understanding of a social process are illustrated. (MV)
Descriptors: Analysis of Variance, Computer Programs, Educational Policy, Educational Research