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Madaus, George F.; And Others – American Educational Research Journal, 1973
The causal model approach used in this study tested the cumulative hierarchical structure of the six major taxonomic levels of Bloom's Taxonomy by measuring the strengths of the linear relationships ( links'') between levels. (Editor)
Descriptors: Classification, Elementary School Students, Intelligence, Models

Schau, Candace Garrett; Heyward, Vivian H. – American Educational Research Journal, 1987
Stepwise multiple regression was used to develop salary prediction equations, one from each of two faculty samples used most frequently used in this type of research. An analysis of the model found that on average women were paid significantly less than men. (RB)
Descriptors: College Faculty, Models, Multiple Regression Analysis, Predictive Measurement

Schoenfeldt, Lyle F.; Lissitz, Robert W. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction

Novick, Melvin R. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, and TM 501 089.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Ehri, Linnea C.; Dreyer, Lois G.; Flugman, Bert; Gross, Alan – American Educational Research Journal, 2007
The Reading Rescue tutoring intervention model was investigated with 64 low-socioeconomic status, language-minority first graders with reading difficulties. School staff provided tutoring in phonological awareness, systematic phonics, vocabulary, fluency, and reading comprehension. Tutored students made significantly greater gains reading words…
Descriptors: Reading Comprehension, Reading Difficulties, Intervention, Reading Consultants

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
Moderator Subgroups for the Estimation of Educational Performance: A Comparison of Prediction Models

Lissitz, Robert W.; Schoenfeldt, Lyle F. – American Educational Research Journal, 1974
The purpose of this study was to compare five predictor models, including two least-square procedures, two probability weighting (semi-Bayesian) methods, and a Bayesian model developed by Lindley. (See also TM 501 088, TM 501 089, and TM 501 090) (Author/NE)
Descriptors: Bayesian Statistics, College Freshmen, Models, Multiple Regression Analysis

Mood, Alexander M. – American Educational Research Journal, 1971
Descriptors: Analysis of Variance, Factor Structure, Interaction, Learning

Novick, Melvin R.; Jackson, Paul H. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 089 and TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction

Creager, John A. – American Educational Research Journal, 1971
Descriptors: Factor Analysis, Mathematical Applications, Models, Multiple Regression Analysis

Gelb, Steven A.; Mizokawa, Donald T. – American Educational Research Journal, 1986
The relationship between 13 demographic social variables and the numbers of students placed in four objective and four subjective special education classifications for one school year was examined using 50 states and Washington, DC. None of the objective, but two of the subjective classifications were strongly associated with socioeconomic…
Descriptors: Corporal Punishment, Correlation, Disability Identification, Elementary Secondary Education