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Rebecca M. Callahan; Lauren Schudde; Kimberly Pack-Cosme – International Multilingual Research Journal, 2024
STEM preparation--especially high school math course-taking--is a key predictor of college entrance. Previous research suggests that high school English learners (ELs) not only take fewer advanced math courses but also enroll in college at much lower rates than non-ELs--a group that includes former ELs. In the present study, we alter the analytic…
Descriptors: English Language Learners, High School Students, Advanced Courses, Mathematics Education
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
National Forum on Education Statistics, 2018
The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…
Descriptors: Educational Indicators, Best Practices, Elementary Secondary Education, Data Collection
Villarreal, Victor – Exceptionality, 2015
This study examined the educational environment placement and educational outcomes of students identified as having an emotional disturbance (ED). The sample was drawn from special education enrollment data for students aged 6-21 years in the 50 states and Washington, DC in 2010. Additional economic and demographic state-level variables were…
Descriptors: Emotional Disturbances, Outcomes of Education, Special Needs Students, State Surveys
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
Princiotta, Daniel; Lippman, Laura; Ryberg, Renee; Schmitz, Hannah; Murphey, David; Cooper, Mae – Child Trends, 2014
Only about 59 percent of full-time, first-time students at four-year institutions complete such a degree within six years at the same school. Completion rates are even lower for those starting part-time, or at less than four-year schools (and planning to transfer). Which social indicators--such as student engagement, enrollment status, and family…
Descriptors: Social Influences, Postsecondary Education, Success, College Graduates
Palmer, Lauren E.; Erford, Bradley T. – Professional Counselor, 2012
This study explored the prediction of student outcome variables from the ASCA national model level of program implementation. A total sampling of schools from two suburban school districts was conducted. Outcome variables were measures of math and reading achievement scores, attendance and graduation rates. Such measures play a central role in…
Descriptors: Outcome Measures, Predictor Variables, Prediction, Program Implementation