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Peer reviewedShigemasu, Kazuo – Journal of Educational Statistics, 1976
Context for the application and specialization of a Bayesian linear model is m-group regression and the application to the prediction of grade point average. Specialization involves the assumption of homogeneity of regression coefficients (but not intercepts) across groups. Model's predictive efficiency is compared with that of the full m-group…
Descriptors: Bayesian Statistics, Comparative Analysis, Grade Point Average, Least Squares Statistics
Williams, Heather A.; Kotrlik, Joe W. – Online Submission, 2004
This study sought to determine factors that drive an HRED postsecondary faculty member to be a high producer of research. A HRED faculty career research productivity mediated model was designed and evaluated based on theory and previous literature. The model consisted of environmental variables (control variables), perceived organizational…
Descriptors: Interests, Productivity, Human Resources, Faculty
Peer reviewedNovick, 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
Peer reviewedTaylor, Howard F. – Sociology of Education, 1973
A detailed review of the methodological shortcomings in Jencks' Inequality'' suggests that the policy recommendations implied in the book are not strongly supported. (Author/KM)
Descriptors: Book Reviews, Data Analysis, Educational Policy, Educational Research
Peer reviewedTobias, Sigmund – Journal of Educational Psychology, 1973
The first purpose of this research was to study the effect of distraction on achievement and to clarify some discrepancies in research findings on the effect of response mode. (Author/RK)
Descriptors: Academic Achievement, Anxiety, Computer Assisted Instruction, Data Analysis
Peer reviewedJanzen, Henry L.; Hallworth, Herbert J. – Journal of Experimental Education, 1973
The present study is an attempt to explore the usefulness of demographic predictors of writing ability. Specifically, it is concerned with delineating the elements involved in writing and to ascertain the effects of achievement, language background, age, sex, social class, etc., on linguistic ability. (Author/RK)
Descriptors: College Students, Demography, Factor Analysis, Multiple Regression Analysis
Peer reviewedHolly, Keith A.; Michael, William B. – Educational and Psychological Measurement, 1973
The Structure-of-Intellect Tests are shown to represent promising alternatives to the traditional commercial standardized tests now widely used in predicting success in modern algebra. (Author/NE)
Descriptors: Algebra, Measurement Techniques, Multiple Regression Analysis, Predictive Measurement
Peer reviewedCavior, Norman N.; Dokecki, Paul R. – Developmental Psychology, 1973
Fifth- and eleventh-grade males and females who knew each other ( knowers'') judged classmates' photographs on physical attractiveness, perceived attitude similarity, and interpersonal attraction. Nonknowers'' (male and female classmates in different schools in the same grades) judged the same photographs on physical attractiveness. (Editor)
Descriptors: Academic Achievement, Adolescents, Attitudes, Correlation
Peer reviewedChilders, Perry R.; Ross, James – Journal of Educational Research, 1973
The authors state that quantity and quality of televiewing have not changed in 20 years and are not a predictor of pupil achievement. (Authors)
Descriptors: Academic Achievement, Data Analysis, Elementary School Students, Grade Point Average
Grauer, Robert T.; Deutsch, Stuart J. – Educational Technology Systems, 1973
A simulation model of a suburban school district is synthesized by incorporating the results of multiple regression analysis within an Industrial Dynamics framework. The intermediate empirical analysis is described and results of the validation procedure for the final simulation model presented. Three computer experiments with the system model are…
Descriptors: Educational Development, Educational Research, Instructional Systems, Models
Peer reviewedKiesling, Herbert J. – Education and Urban Society, 1972
Extends the findings of a study of relationships of some educational inputs and reading performance of disadvantaged California Title I pupils, utilizing a highly simplified model of the compensatory education process. (JM)
Descriptors: Cost Effectiveness, Disadvantaged Youth, Elementary School Students, Input Output Analysis
Peer reviewedWalbert, Herbert J.; And Others – Journal of Educational Psychology, 1973
The pattern of significant criteria suggests a decreasing emphasis on higher level cognitive processes, involvement, and independence from Grades 6 through 10 and an increasing emphasis on lower level cognitive processes such as memorization. (Authors)
Descriptors: Class Activities, Classroom Environment, Cognitive Processes, Instructional Program Divisions
Peer reviewedTobias, Sigmund – Journal of Educational Psychology, 1973
Results suggest that familiarity may be a useful variable in Attribute X Treatment interaction research. (Author)
Descriptors: Anxiety, Aptitude, Linear Programing, Multiple Regression Analysis
Peer reviewedNovick, Melvin R.; And Others – Psychometrika, 1973
This paper develops theory and methods for the application of the Bayesian Model II method to the estimation of binomial proportions and demonstrates its application to educational data. (Author/RK)
Descriptors: Bayesian Statistics, Educational Testing, Mathematical Models, Measurement
Peer reviewedMarjoribanks, Kevin – Comparative Education, 1973
In the present study an examination is made of a relatively new approach to the assessment of learning environments. (Author)
Descriptors: Cognitive Measurement, Comparative Education, Educational Environment, Educational Research


