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Pearse, R. – International Review of Education, 1977
This study, based on a survey of rural families in several provinces in Indonesia, is an attempt to search for variables, and combinations of variables, that predict the actual utilization of schooling by individual families. Suggests these useful predictors: family characteristics, family economic status, family orientation toward education.…
Descriptors: Case Studies, Family Attitudes, Family Characteristics, Multiple Regression Analysis
Peer reviewed Peer reviewed
Janzen, 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 reviewed Peer reviewed
Novick, 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 reviewed Peer reviewed
Forsyth, Robert A. – Journal of Educational Measurement, 1973
Article is concerned with a model for school system evaluation. The usefulness of the indices from this model depend on their stability, and this study presents evidence related to their stability when pupils and factors related to time are considered as sources of error. (Author/RK)
Descriptors: Correlation, Educational Quality, Models, Multiple Regression Analysis
Peer reviewed Peer reviewed
Claudy, John G. – Educational and Psychological Measurement, 1972
First purpose of this study was to investigate empirically the accuracy of prediction using regression weights selected through the use of variance-reduction procedures. (Author)
Descriptors: Comparative Analysis, Error Patterns, Factor Structure, Item Sampling