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Moderator Subgroups for the Estimation of Educational Performance: A Comparison of Prediction Models
Peer reviewedLissitz, 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
Peer reviewedCialdini, Robert B.; And Others – Journal of Experimental Social Psychology, 1973
It is the purpose of this paper to propose and test an alternative interpretation of the transgression-altruism relationship which is at the same time parsimonious and integratively powerful. (Author)
Descriptors: College Students, Data Analysis, Models, Predictor Variables
On Social Systems Theory as a Predictor of Educational Change: The Adoption of Classroom Innovations
Peer reviewedHanson, Mark – Journal of Educational Administration, 1973
When a program of innovative change is proposed for a school, it may well be possible to predict which of the various subsystems of the school will offer the most resistance. The group who are required to make the greatest modification in their normal procedures of operation will raise the highest level of resistance. (Author)
Descriptors: Adoption (Ideas), Attitudes, Educational Change, Educational Innovation
Peer reviewedGross, Alan L. – Psychometrika, 1973
Expressions for the expected value, density, and distribution function (DF) of GS (gain from selection) are derived and studied in terms of sample size, number of predictors, and the prior distribution assigned to the population multiple correlation. (Author/RK)
Descriptors: Academic Achievement, College Admission, Item Sampling, Predictive Measurement
Peer reviewedWang, Margaret C. – Journal of Educational Research, 1973
The present study, designed as a pilot study to provide an empirical basis for modifying the PEP testing program, investigated the possibility that teachers could accurately evaluate learning progress without formal testing. (Author)
Descriptors: Academic Achievement, Individualized Instruction, Pilot Projects, Prediction
Peer reviewedSimon, A.; Ward L. O. – Journal of Moral Education, 1973
The purpose of this investigation is to provide further data concerning the variables, age, intelligence and sex, that may affect moral judgment. (Author/RK)
Descriptors: Adolescents, Age, Correlation, Intelligence Quotient
Peer reviewedBean, Andrew G.; Covert, Robert W. – Educational and Psychological Measurement, 1973
Purpose of this study was to discriminate among college persisters, withdrawals, and academic dismissals through using measures of scholastic aptitude and personality. (Authors)
Descriptors: Academic Aptitude, College Students, Discriminant Analysis, Dropouts
Peer reviewedHolly, Keith A.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Cognitive Ability, Data Analysis, Grade 7, Mathematics
Peer reviewedDunham, Randall B. – Journal of Educational Research, 1973
The present study is the first phase of a longitudinal investigation designed to isolate non-intellective factors which might increase the power to predict academic success. (Author/RK)
Descriptors: Academic Achievement, College Students, Correlation, Learning Motivation
Peer reviewedGregory, Thomas B. – Journal of Research in Music Education, 1972
The purpose of this study was to contribute new information on the effect of stimulus presentation variables on sight-reading errors, in the hope that it might aid the development of more effective and efficient instructional designs. (Author)
Descriptors: Cognitive Processes, Data Analysis, Error Patterns, Music Reading
Peer reviewedClemente, Frank – American Journal of Sociology, 1973
The publication records of 2,205 holders of the Ph.D. in sociology are examined for the period 1940-70. The predictive efficiency of six independent variables is assessed via regression analysis. A seventh variable is used as a control. Results of the study and directions for future research are presented and discussed. (SM)
Descriptors: Doctoral Degrees, Multiple Regression Analysis, Predictive Measurement, Predictor Variables
Peer reviewedEmmer, Edmund – International Review of Education, 1972
Examines direct observation procedures which can be used to measure classroom behavior variables. (Author)
Descriptors: Classroom Observation Techniques, Classroom Research, Evaluation Criteria, Predictor Variables
Peer reviewedReed, Cheryl L.; Feldhusen, John F. – Psychological Reports, 1973
Descriptors: Cognitive Tests, College Freshmen, Educational Research, Grade Point Average
Peer reviewedConger, Anthony J.; Jackson, Douglas N. – Educational and Psychological Measurement, 1972
Paper discusses the nature of the suppressor variable, constraints upon the degree of gain in predictability by the addition of a suppressor, and the distinct aims of prediction and of construct measurement. (Authors/MB)
Descriptors: Correlation, Definitions, Prediction, Predictive Validity
Peer reviewedEisenthal, Sherman; Udin, Harriet – Developmental Psychology, 1972
Study reaffirmed the central significance of the peer group's influence on adolescent behavior. (Authors)
Descriptors: Adolescents, Alcoholism, Drug Abuse, Peer Groups


