Approaches followed & lessons learned – Group Feedback –Kolu Gelan Keble SLATE Training for Africa RISING / NBDC Addis Ababa / Jeldu April 2013

Facilitation  Criteria for selection of key informants - sampling was not proportional or representational – assumption based on the second day of research where farmers had greater access to assets - Geographic representation (those close by/ convenient)/ potential problem of interaction with DA when researcher has no knowledge of site  Less time allocated to identification/ evaluation of indicators – needed more time (Basic household data especially)  Different approaches in 3 kebeles – some included key informants in survey/ some excluded – which is best? SOLUTION - A clear idea of how many samples (proportional or equal numbers etc.) and exploration of potential census lists/ time for scoping in the field for basic stratification is needed to reduce DA AND questionnaire bias – time must be taken to reflect on outputs from key informants (and more detailed notes taken in focus group – potential experiments on participatory methods such as resource maps?)

Weighting and Scoring  Different level of understanding of enumerators – indicators and process – meant that farmers were also not always aware of the difference between weight and score and the way to address their own circumstances SOLUTION- must have pre-testing (day in class to discuss differences between weight and score- how to phrase/ consensus of approach etc. plus time in the field to try out – development of more detailed methodology – in field techniques etc.)  Weighting – relative weight for each indicator (if list is too long farmers find it difficult – farmers tend to rank rather than give proportionate score especially when the indicators are very hard to compare)  Scoring – relationships to weight are complex – issues with lack of negative scores – did not adequately show difference between rich/ poor farmers and their relative dependence on different sources of capital  Enumerators skill to challenge / question the farmers answer/ give examples of positive/ negative contribution SOLUTION- demonstration (interactive process – to minimise enumerators bias and to incorporate participatory process) – pictures and grains?

Data entry and Analysis  Similarity/ differences in questionnaires from each Kebele based on differences in sites - especially for key basic information across sites – must be decided because some lists are more detailed than others  SOLUTION IS DIFFICULT - merging indicators would be convenient for analysis but lists of indicators could be exhaustive – reducing list could exclude key incomes/ niche assets etc. – want to capture all typologies and not exclude  Accessibility of tool – copying/ sharing data etc.  SOLUTION- need to know how to merge datasets and more on data analysis

Low asset holder

High asset holder

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