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Download full textKlieger, David M.; Cline, Frederick A.; Holtzman, Steven L.; Minsky, Jennifer L.; Lorenz, Florian – ETS Research Report Series, 2014
Given the serious consequences of making ill-fated admissions and funding decisions for applicants to graduate and professional school, it is important to rely on sound evidence to optimize such judgments. Previous meta-analytic research has demonstrated the generalizable validity of the "GRE"® General Test for predicting academic…
Descriptors: College Entrance Examinations, Graduate Study, Prediction, Predictive Validity
Peer reviewedBaker, Bruce D.; Richards, Craig E. – Economics of Education Review, 1999
Applies neural network methods for forecasting 1991-95 per-pupil expenditures in U.S. public elementary and secondary schools. Forecasting models included the National Center for Education Statistics' multivariate regression model and three neural architectures. Regarding prediction accuracy, neural network results were comparable or superior to…
Descriptors: Algorithms, Econometrics, Elementary Secondary Education, Expenditure per Student
Wong, Kenneth K.; And Others – 1996
This report examines variations in school and classroom attributes that were associated with improved student achievement outcomes. Of particular interest were those attributes of Chapter 1 and regular school programs that contributed to improved outcomes for educationally at-risk students. A secondary focus was to measure the relationships…
Descriptors: Academic Achievement, Categorical Aid, Educationally Disadvantaged, Elementary Secondary Education
