Data Collection Methods Profiling including Sampling Techniques

1. Data Collection MethodsProfiling including Sampling Techniques Training of District Authorities and Partners Durable Solutions Assessment 6 September 2010

2. Choice of data collection methods • What are the information needs? • Purpose of the data gathering?

3. Profiling • Numbers disaggregated by sex, age and locations • Covers the whole target population through estimations and sampling techniques. • Wide range of socio-economic and needs related data • Provides a common baseline dataset • Scientific approach • Collective approach • Unit of measurement is individual or household

4. Profiling Methodologies • Quantitative methods • 1- Rapid population estimation A- Aerial satellite imaging B- Flow monitoring C- Dwelling Count D- Head Count E- Counting using sampling methods • 2- Household survey • 3- Registration • 4- Population Census • Qualitative methods • 1- Focus Group discussion • 2- Semi-structured discussions • 3- Key informant interviews

5. Samplingin the Humanitarian Context

6. Probability sampling:Sampling that uses random selection to choose units to be examined or measured“random” does not mean haphazardHousehold surveys generally use some form of probability sampling

8. Stage 1: clustering Stage 2: random household selection

9. Several groups – Suppose we need to interview blues and whites

11. Baji Kabadugu Saba Filani Kelenba Sabani Nanani Kelenni Duuruni Dabani Daba Maba Woluni +2695 Badaba Malama Wooroni 50 km. Samani Manyi Seguiba Kono +2293 Gono Seguini Tanba Kononi Gononi Konodugu Sama Kabano Tanni +2686 Nyoduru +2209 Duguni Kamani Nyafila Nyakelen Wuludugu Wuluba Kundugu Masadugu Wulu Nyasaba Togoni Masaba Nyasani Masani Malanyi Wuluni Nyokoko Kanyi Kununi Kalan Fato Tigui Fatoba Amana Nyikulu Tan Fatoni Dioro Nyadaba Jama Bamani Tese Nyodioro Kini Jakuma Jiri Malo Juguba South Town Jugu Bolo

12. Random Site Selection Only visit villages > 25 km from main road Stratify population for livelihood groups: • Highland farm villages • Lowland farm villages • Fishing villages Visit four villages each group

13. Baji Kabadugu Saba Filani Kelenba Sabani Nanani Kelenni Duuruni +554 Dabani Daba Maba +3021 Woluni +2695 Badaba Malama Wooroni 50 Kms. Samani Manyi Seguiba Kono +2293 Gono Seguini +435 Tanba +834 Kononi Gononi Konodugu Sama Kabano +1401 +2686 Tanni Nyoduru +2209 Duguni Kamani Nyafila Wuludugu Wuluba Kundugu Nyakelen +1845 Masadugu Wulu Nyasaba Togoni +1423 Masaba Nyasani Masani Malanyi +2234 Wuluni +1734 Nyokoko Kanyi Kununi Kalan Fato Tigui Fatoba Amana Nyikulu Tan Fatoni Dioro Nyadaba Jama Bamani Tese Nyodioro Kini Jakuma +2789 Jiri Malo Juguba South Town Jugu Bolo +1884

14. Fishing Villages We decide to randomly select four villages to visit

15. Fishing Villages We consecutively number the villages… …and then use the random numbers table to identify the four villages to visit.

17. Fishing Villages

18. Profiling stages 1. Obtain and idea of the location of the population • Key informants – community base • Desk review 2. Mapping 3. Stratification 4. A posterior stratification (weighting if necessary)