Literaturnachweis - Detailanzeige
Autor/inn/en | Cajka, James; Amer, Safaa; Ridenhour, Jamie; Allpress, Justine |
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Titel | Geo-Sampling in Developing Nations |
Quelle | In: International Journal of Social Research Methodology, 21 (2018) 6, S.729-746 (18 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1364-5579 |
DOI | 10.1080/13645579.2018.1484989 |
Schlagwörter | Sampling; Developing Nations; Probability; Cross Cultural Studies; Maps; Computer Software; Research Methodology; Geographic Information Systems; Surveys; Foreign Countries; South America; Africa; Asia |
Abstract | RTI International created a geospatial grid-based sampling methodology that: achieved a probability-based household sample and unbiased estimates; was comparable across countries; used simple frame data available from the in-country census; and was efficient with minimal training to local field staff. The methodology used 1 km[superscript 2] LandScan world population data, which was further subdivided to smaller grid cells ranging from 50 to 150 m[superscript 2]. To guide fieldwork, georeferenced maps were generated and viewed without an Internet connection using a third-party app and the tablet's internal global positioning systems receiver. The field staff's location was displayed in real time as a blue dot enabling field staff to determine household inclusivity. This methodology was successfully implemented for household surveys Latin America, Africa, and Asia. The design is transferable, adaptable, scalable, and can be used anywhere in the world. (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 |