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Rob Wilson; Derek Bosworth; Luke Bosworth; Jeisson Cardenas-Rubio; Rosie Day; Shyamoli Patel; Chris Thoung; Ha Bui – National Foundation for Educational Research, 2022
This document provides a technical description of the sources and methods used to generate the set of employment projections by industry and occupation presented in the reports from the Nuffield funded research programme -- "The Skills Imperative 2035: Essential Skills for Tomorrow's Workforce." This Technical report provides details on…
Descriptors: Foreign Countries, Futures (of Society), Macroeconomics, Employment Projections
Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables

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