1. 17 January 2013 ACTED, Juba, South Sudan

2. TIMETOPIC 14:00-14:15 Participant introductions 14:15-14:45 HEA baseline – findings for Northern Bahr el Ghazal, Warrap and Western Bahr el Ghazal 14:45 -15:15 Quasi-experimental baseline – sampling methodology 15:15-16:00 Quasi-experimental baseline – review of indicators and tools 16:00-16:15 Quasi-experimental baseline – review of fieldwork 16:15-16:30 Beyond the baseline – next steps and discussion

4. Elisabeth Vikman Impact Initiatives

5. Byron Pakula Impact Initiatives

6. Objective of the sampling is: Get a fine-grain analysis of the food security in the implementation areas Compare the food security situations across: Areas where no FFA or GFD has been done in the past 12 months Areas where GFD are being implemented (planned, ongoing, or completed) Areas where FFA are being implemented (planned, ongoing, or completed) Differentiate based on food security assessments (low, medium, high) Differentiate based on livelihood zone (Ironstone Platea, Western Floodplains)

7. Food Security Indicator is a function of: Control Group A: No Interventions Control Group B: GFD Interventions Treatment Group: FFA Interventions FSI = CG(A) i + ∂ 1 CG(B) i + ∂ 2 TG i+ ∂ 3 CG(B).TG i Where i=livelihood zone, food security assessment, and wealth groups ∂ 1 = impact on food security due to GFD ∂ 2 = impact on food security due to FFA ∂ 3 = impact on food security due to FFA and GFD in the one location

8. The aim of the analysis is to be statistically significant across the variables of: Wealth Groups (4 categories) OR Food Security Classification (3 categories) OR Livelihood Zone (2 categories) AND Control and Treatment Groups (3 categories) The aim for the data analysis is to be 95% confident with no more than a +/- 5% margin of error Due to the scale of the population sizes, to achieve this it is necessary for a sample of at least 380 households in the control and treatment groups for each of the three dependent variables Wealth groups will not be specifically targeted, but will be identified after the data collection process. This may affect the significance.

9. Clustering will ensure that the data received in each community is sufficiently ‘random’ and ‘representative’ Clustering in practice means the sampling will collecting at least 20 household surveys for each community or village To support the quantiative household surveys, each community or village will also have a focus group discussion to provide qualitative information and to support the analysis

10. Communities are selected randomly based on a weighted average of where FFA activities are being implemented E.g. If 25% of activities are implemented in the Ironstone Plateau, then approximately 25% of the surveys will be collected in Ironstone Plateau Note that a minimum of 380 surveys for each sample group is required The locations are randomly selected based on WFP information for FFA interventions Control groups are selected from the same Payam with support from Boma Chiefs to identify similar villages meeting criteria of no FFA or GFD for past 12 months, or only GFD..

11. TotalControl A (None)Control B (GFD)Treatment (FFA) HHsVillagesHHsVillagesHHsVillagesHHsVillages Livelihood Zone Ironstone152076380193801976038 Western45602281140571140572280114 Food Security Classification High152076380193801976038 Medium30401527603876038152076 Low152076380193801976038

12. Elisabeth Vikman Impact Initiatives

13. IndicatorSubMeasurementLevelType Agegroup of household membersAge dependency ratio0-4; 5-14; 15-24; 25-49; 50+HouseholdDemographics Gender of household membersFemale, maleHouseholdDemographics Household member statusRelationship, disability status, employment statusHH membersHouseholdStatus Immigration statusReturnee, IDP, refugee, hostHHH and entire householdHouseholdStatus Social networksBoma kinship ties, contribution by kinCurrent /most recent 7 daysHouseholdAssets Coping strategies (index)Negative' strategiesMost recent 7 daysHouseholdAssets ConsumptionFood and non-food itemsMost recent 30 daysHouseholdAssets ExpenditureFood and non-food item, livelihood inputs (informed by HEA)Most recent 30 daysHouseholdAssets Level of formal educationcurrent/completed primary/secondary/higher educationCompleted/current gradeHouseholdAssets Income sources (time distributed) Livestock, Agriculture, Fishing, In Kind, Labor, Trade, Remittances - primary/secondary/tertiary - % by season - link with HEAMost recent yearHouseholdAssets Access to marketTime, Cost, ChallengesCurrent, generallyHouseholdAssets Access to foodType, SourceMost recent 7 daysHouseholdFood Security Availability of food (by type)TypeCurrentHouseholdFood Security Nutritional statusType, sourceMost recent 24 hours most recent 7 daysHouseholdFood Security MorbidityMalaria, ARI, Diarrhoea symptoms/treatment - by demographicsMost recent 14 daysHouseholdHealth Health seeking behaviorAnte-natal care - female by agregroupMost recent pregnancyHouseholdHealth Access to health careTime, Cost (transport, care, medicine/materials), ChallengesMost recent 14 days, generallyHouseholdHealth Access to adequate waterSource, distanceCurrentHouseholdAssets Access to adequate sanitationType - by genderCurrentHouseholdAssets Livelihood sufficiencycross-reference with income generationLickert scale - most recent 12 monthsHouseholdPerceptions Well-beingQuality of lifeLickert scale - most recent 12 monthsHouseholdPerceptions Food security and changescross-reference with access to foodLickert scale - most recent 12 monthsHouseholdPerceptions MobilityFreedom, choiceLickert scale - most recent 12 monthsHouseholdPerceptions Ability to withstand shocksvulnerability and ability to respondFuture 12 months, Lickert scaleHouseholdPerceptions Gender rolesIncome generating activities, division of labourMost recent 30 days/12 months, Lickert scaleHouseholdPerceptions Gender attitudesEducation, division of labour, access to careCurrent, completed, most recent 2 weeks, Lickert scaleHouseholdPerceptions Changes in populationSize, Composition - Hosts, IDPs, Returnees, Refugees - by genderCurrentCommunityDemographics Quality of healthcarePrimary Health Care 1) Unit and 2) Centre, 3) HospitalCurrentCommunityHealth Quantity of healthcarePrimary Health Care 1) Unit and 2) Centre, 3) HospitalCurrentCommunityHealth Community assetsInfrastructure, Social services, BRACE assetsCurrentCommunityAssets Community prioritiesCurrentCommunityPerceptions

14. Elisabeth Vikman Impact Initiatives

15. IMPACT Geneva Luca Pupulin Supervision of the outputs PM /Evaluation manager Elisabeth Vikman Supervision of the overall impact evaluation Assessment manager Malika Baymatova Supervision of the field teams 1 Assessment Team Leader 9 Assessment Assitants / 1 Driver 4 Data Entry Assistants 1 Assessment Team Leader 9 Assessment Assitants / 1 Driver 1 Assessment Team Leader 9 Assessment Assitants / 1 Driver ACTED South Sudan Emilie Poisson Supervision of the operations DB/GIS/Research Assistant In charge of the data base Technical expertise from IMPACT Geneva Assessment expert Byron Pakula Impact evaluation technical expertise MIS/GIS expert Renaud Zambeaux DB/MIS/GIS technical expertise REACH in country support team Punctual support REACH Country Manager REACH GIS/DB officer Michael HOpfesnberger

16. STAFFING – Dinka/Arabic/English speakers 3 Team Leaders 3 Community Focal Points 24 Assessment Assistants 4 Data Entry Officers OUTPUT 6080 HH level interviews 304 Community level Key Informants interviews

17. 21 January 2013 Day 1: Training Team Leaders & Community Focal Points – ACTED Wau base Day 2: Field testing – Wau communities Day 3: Training Assessment Assistants – ACTED Wau base Day 4: Field testing – Wau communities Day 5: FULL-SCALE SURVEY 28 January – 29 March 2013 Phase 1 baseline survey – Northern bahr el Ghazal and Warrap states

18. Elisabeth Vikman Impact Initiatives