1. Data Collection Methods Profiling 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? What are the information needs? Purpose of the data gathering? Purpose of the data gathering?

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

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

7. simple random sampling

8. two-stage sampling Stage 1: clustering Stage 2: random household selection

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

10. stratified sampling

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

12. Random Site Selection Only visit villages > 25 km from main road Stratify population for livelihood groups: 1. Highland farm villages 2. Lowland farm villages 3. Fishing villages Visit four villages each group

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

14. Fishing Villages BajiDuguni Duuruni Filani Tanba Nanani Nyakelen Saba Sabani Seguiba Seguini Tanni Woluni We decide to randomly select four villages to visit

15. Fishing Villages 01Baji02Duguni 03Duuruni 04Filani 05Tanba 06Nanani 07Nyakelen 08Saba 09Sabani 10Seguiba 11Seguini 12Tanni 13Woluni We consecutively number the villages… …and then use the random numbers table to identify the four villages to visit.

16. TABLE OF RANDOM NUMBERS 39634 62349 74088 65564 16379 19713 39153 69459 17986 24537 14595 35050 40469 27478 44526 67331 93365 54526 22356 93208 30734 71571 83722 79712 25775 65178 07763 82928 31131 30196 64628 89126 91254 99090 25752 03091 39411 73146 06089 15630 42831 95113 43511 42082 15140 34733 68076 18292 69486 80468 80583 70361 41047 26792 78466 08395 17635 09697 82447 31405 00209 90404 99457 72570 42194 49043 24330 14939 09865 45906 05409 20830 01911 60767 55248 79253 12317 84120 77772 50103 95836 22530 91785 80210 34361 52228 33869 94332 83868 61672 65358 70469 87149 89509 72176 18103 55169 79954 72002 20582

17. Fishing Villages 01Baji 02Duguni 03Duuruni 04Filani 05Tanba 06Nanani 07Nyakelen 08Saba 09Sabani 10Seguiba 11Seguini 12Tanni 13Woluni

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