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Simplified sampling method for household-based surveys with reduced populations in the water and sanitation sector
conference contribution
posted on 2018-02-12, 15:11 authored by Agusti Perez-Foguet, Ricard GineIn order to make decisions efficiently and equitably, up-to-date information is required. In developing countries, with limited resources, such information should be provided by means of cost-effective methodologies, in which sampling issues are of primary importance. Different sampling strategies are currently in use. At local level with reduced populations, standard approaches prove expensive and time consuming. In this paper, we opt for simple linear piecewise approximations to calculate the sample size in terms of given precision, confidence level and population size. To support the applicability of the
proposed approach by practitioners in the field, easy-to-use tables are elaborated. In terms of sampling,
easy-to-follow practical guidelines for household selection and transect walk planning are also provided. The article presents six rural communities in Honduras as initial case study to illustrate the validity and applicability of the approach adopted herein for sampling design and sample size determination.
Funding
Financial support from the Catalan Government (Agencia de Gestio d'Ajuts Universitaris i de Recerca (AGAUR), project ref: 2014SGR1545:2014-2016) and the Centre de Cooperacio per al Desenvolupament Universitat Politecnica de Catalunya (grant ref 2015-O034) is gratefully acknowledged.
History
School
- Architecture, Building and Civil Engineering
Research Unit
- Water, Engineering and Development Centre (WEDC)
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WEDC ConferenceCitation
PEREZ-FOGUET, A. and GINE GARRIGA, R., 2017. Simplified sampling method for household-based surveys with reduced populations in the water and sanitation sector. IN: Shaw, R.J. (ed). Local action with international cooperation to improve and sustain water, sanitation and hygiene (WASH) services: Proceedings of the 40th WEDC International Conference, Loughborough, UK, 24-28 July 2017, Paper 2640, 7pp.Publisher
© WEDC, Loughborough UniversityVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2017Notes
This is a conference paper.Other identifier
WEDC_ID:22729Language
- en
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