Literaturnachweis - Detailanzeige
| Autor/inn/en | Adelman, Melissa; Haimovich, Francisco; Ham, Andres; Vazquez, Emmanuel |
|---|---|
| Titel | Predicting School Dropout with Administrative Data: New Evidence from Guatemala and Honduras |
| Quelle | In: Education Economics, 26 (2018) 4, S.356-372 (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Ham, Andres) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0964-5292 |
| DOI | 10.1080/09645292.2018.1433127 |
| Schlagwörter | Foreign Countries; Dropouts; At Risk Students; Identification; Prediction; Predictor Variables; Grade 6; Models; Student Characteristics; Student Records; Grade 9; Databases; Socioeconomic Influences; Elementary Secondary Education; Statistical Analysis; Honduras; Guatemala |
| Abstract | School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to estimate some of the first dropout prediction models for lower-middle income countries. These models correctly identify 80% of sixth grade students who will drop out within the next year, performing better than other commonly used targeting approaches and as well as models used in the U.S. (As Provided). |
| Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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