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Conflict Data Workshop, 9-10 June 2011, Brussels1
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SMART Methodology Annually in emergency settings Internal / external Multi Indicator – anthropometric, mortality, demographic, WASH, livelihoods, education, public health, HIV Conflict Data Workshop, 9-10 June 2011, Brussels2
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Building trends over time (eight years in Twic, S Sudan) Easy to select sample size and clusters – SMART / ENA Easy analysis of anthropometric and mortality data – SMART / ENA Multi indicators build bigger picture Results used internally and externally Build staff capacity Conflict Data Workshop, 9-10 June 2011, Brussels3
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Planning Requires an estimation of populations - difficult when populations are mobile Good estimation of under 5 year old population needed Need an estimation of household size Insecure/inaccessible areas excluded High demand on manpower, vehicles, equipment Insecurity Conflict Data Workshop, 9-10 June 2011, Brussels4
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Implementation Methodology designed for rural situations not the best for urban Population data skewed / population gone / different village name Distance to travel / sleep out / security Households exaggerating their situation Community have element of expectation.... survey...... no change.... anger, hostility Cost – time, financial, manpower Quantitative v qualitative – currently too much focus on quantitative Conflict Data Workshop, 9-10 June 2011, Brussels5
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Analysis Quality of data collected – plausibility check Closed questions – response options, best fit option Time Software – SMART, SPSS, Epi Info, Stata, Excel.......... People want to use results to show causality Conflict Data Workshop, 9-10 June 2011, Brussels6
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Conflicting methodologies – NGO v MoH Size of questionnaires – quantity of data collected Estimating population figures / identifying villages (over/under estimation of populations, movements, several names for one village......) Conflict Data Workshop, 9-10 June 2011, Brussels7
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