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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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Geverdt, Douglas E. – National Center for Education Statistics, 2015
The National Center for Education Statistics (NCES) Education Demographic and Geographic Estimates (EDGE) program develops geographic data to help policymakers, program administrators, and the public understand relationships between educational institutions and the communities they serve. One of the commonly used geographic data items is the NCES…
Descriptors: Demography, Geographic Distribution, Classification, Geographic Location
United Nations Educational, Scientific, and Cultural Organization, Paris (France). Div. of Statistics on Education. – 1975
The International Standard Classification of Education (ISCED) has been designed as an instrument suitable for assembling, compiling, and presenting statistics of education both within individual countries and internationally. It is expected to facilitate international compilation and comparison of education statistics as such, and also their use…
Descriptors: Adult Education, Classification, Comparative Education, Definitions
United Nations Educational, Scientific, and Cultural Organization, Paris (France). Div. of Statistics on Education. – 1976
An international numerical coding structure is presented for classification of data on education according to level category, educational field, and program type. Explanation of the overall system and a guide for its use is followed by a listing of levels, fields, and programs of education in coded order. The various educational program…
Descriptors: Classification, Codification, Comparative Analysis, Data