Creating an Early Warning System : Predictors of Dropout in Delaware. REL Mid-Atlantic Technical Assistance Brief. REL MA 1.2.75-10 / Kazuaki Uekawa, Stacey Merola and Felix Fernandez.
This Technical Brief presents an historical analysis of key indicators of dropout for Delaware students in grades 9-12. Cut points for key risk indicators of high school dropout for the State of Delaware are provided. Using data provided by the Delaware Department of Education (DDOE), relationships...
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| Format: | eBook |
| Language: | English |
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Distributed by ERIC Clearinghouse,
2010.
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| 100 | 1 | |a Uekawa, Kazuaki. | |
| 245 | 1 | 0 | |a Creating an Early Warning System : |b Predictors of Dropout in Delaware. REL Mid-Atlantic Technical Assistance Brief. REL MA 1.2.75-10 / |c Kazuaki Uekawa, Stacey Merola and Felix Fernandez. |
| 264 | 1 | |a [Place of publication not identified] : |b Distributed by ERIC Clearinghouse, |c 2010. | |
| 300 | |a 1 online resource (50 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
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| 500 | |a Availability: Regional Educational Laboratory Mid-Atlantic. Available from: ICF International. 11785 Beltsville Drive Suite 300, Calverton, MD 20705. Tel: 301-572-0889; Tel: 866-735-6239; e-mail: info@relmidatlantic.org; Web site: http://www.relmidatlantic.org. |5 ericd. | ||
| 500 | |a Abstractor: ERIC. |5 ericd. | ||
| 500 | |a Educational level discussed: High Schools. | ||
| 500 | |a Educational level discussed: Secondary Education. | ||
| 500 | |a Educational level discussed: Middle Schools. | ||
| 500 | |a Educational level discussed: Junior High Schools. | ||
| 516 | |a Numeric (Numerical/Quantitative Data) | ||
| 516 | |a Text (Reports, Research) | ||
| 520 | |a This Technical Brief presents an historical analysis of key indicators of dropout for Delaware students in grades 9-12. Cut points for key risk indicators of high school dropout for the State of Delaware are provided. Using data provided by the Delaware Department of Education (DDOE), relationships between student dropout and several student indicators were empirically evaluated. Three key indicators of dropout were identified: (1) students' attendance,; (2) students' math course grades; and (3) students' English language arts (ELA) course grades. The following are appended: (1) Detailed Description of Methodology; (2) Descriptive Statistics; (3) Detailed Logistic Regression Results; (4) Robustness of Cut Points; (5) State-Level Cut Points; and (6) District-Level Cut Points. | ||
| 524 | |a Regional Educational Laboratory Mid-Atlantic. |2 ericd. | ||
| 650 | 0 | 7 | |a Dropout Prevention. |2 ericd. |
| 650 | 0 | 7 | |a Dropouts. |2 ericd. |
| 650 | 0 | 7 | |a Predictor Variables. |2 ericd. |
| 650 | 0 | 7 | |a High School Students. |2 ericd. |
| 650 | 0 | 7 | |a Attendance. |2 ericd. |
| 650 | 0 | 7 | |a Grades (Scholastic) |2 ericd. |
| 650 | 0 | 7 | |a Racial Differences. |2 ericd. |
| 650 | 0 | 7 | |a Gender Differences. |2 ericd. |
| 650 | 0 | 7 | |a Dropout Rate. |2 ericd. |
| 650 | 0 | 7 | |a Middle School Students. |2 ericd. |
| 650 | 0 | 7 | |a Grade Repetition. |2 ericd. |
| 650 | 0 | 7 | |a Special Education. |2 ericd. |
| 650 | 0 | 7 | |a Charter Schools. |2 ericd. |
| 650 | 0 | 7 | |a Suspension. |2 ericd. |
| 650 | 0 | 7 | |a Probability. |2 ericd. |
| 650 | 0 | 7 | |a At Risk Students. |2 ericd. |
| 700 | 1 | |a Merola, Stacey, |e author. | |
| 700 | 1 | |a Fernandez, Felix, |e author. | |
| 700 | 1 | |a Porowski, Allan, |e author. | |
| 710 | 2 | |a Temple University. |b Laboratory for Student Success. | |
| 856 | 4 | 0 | |u http://files.eric.ed.gov/fulltext/ED565682.pdf |z Full Text (via ERIC) |
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