Conflict Data Workshop, 9-10 June 2011, Brussels 1

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, Brussels 2

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, Brussels 3

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, Brussels 4

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, Brussels 5

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, Brussels 6

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, Brussels 7