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Hill, Laura E.; Betts, Julian R.; Chavez, Belen; Zau, Andrew C.; Bachofer, Karen Volz – Public Policy Institute of California, 2014
Nearly 25 percent of the students attending California's K-12 public schools are English Learners (ELs). Their EL designation is intended to last only as long as they need supplemental language support to succeed in school. Because outcomes for students reclassified as English proficient are much better than for students who remain ELs,…
Descriptors: Elementary Secondary Education, Public Schools, English Language Learners, Language Fluency
Webber, Douglas A. – Cornell Higher Education Research Institute, 2011
Using detailed individual-level data from public universities in the state of Ohio, I estimate the effect of various institutional expenditures on the probability of graduating from college. Using a competing risks regression framework, I find differential impacts of expenditure categories across student characteristics. I estimate that student…
Descriptors: Public Colleges, Educational Finance, Cost Effectiveness, College Administration
Gottfredson, Don M.; Snyder, Howard N. – Office of Juvenile Justice and Delinquency Prevention, 2005
This report is meant to help juvenile courts develop practical risk-screening instruments. Courts increasingly are using some method of risk classification to assist in assignment of youth to differential service/supervision programs. A comparison of commonly used or advocated risk classification methods may provide courts with guidance in…
Descriptors: Classification, Juvenile Justice, Test Validity, Juvenile Courts
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification