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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Foy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on the explicit and implicit stratification variables included in the TIMSS 2011 data files. The explicit strata are smaller sampling frames, created from the national sampling frames, from which national samples of schools were drawn. The implicit strata are nested within the explicit strata, and were used…
Descriptors: Predictor Variables, Sampling, Comparative Education, International Education
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on the explicit and implicit stratification variables included in the PIRLS 2011 data files. The explicit strata are smaller sampling frames, created from the national sampling frames, from which national samples of schools were drawn. The implicit strata are nested within the explicit strata, and were used…
Descriptors: Guides, Information Sources, Geographic Distribution, Databases
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Broughman, Stephen P.; Swaim, Nancy L. – National Center for Education Statistics, 2013
In 1988, the National Center for Education Statistics (NCES) developed a private school data collection that improved on the sporadic collection of private school data dating back to 1890 by developing an alternative to commercially available private school sampling frames. Since 1989, the U.S. Bureau of the Census has conducted the biennial…
Descriptors: Sampling, Statistical Significance, Private Schools, National Surveys
National Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
National Centre for Vocational Education Research (NCVER), 2009
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. It uses large, nationally representative samples of young people to collect information about education and training, work, and social development. It includes surveys…
Descriptors: Educational Attainment, Foreign Countries, Youth, Social Development
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Spencer, Bruce; Sebring, Penny; Campbell, Barbara – National Center for Education Statistics, 1987
This report is the methodology report for the National Longitudinal Study of the High School Class of 1972 follow-up in 1986. The fifth follow-up survey of the National Longitudinal Study of the High School Class of 1972 (NLS-72) took place during spring and summer of 1986. A mail questionnaire was sent to a subsample of 14,489 members of the…
Descriptors: Longitudinal Studies, High Schools, National Surveys, Annual Reports