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Appendix 4

Key informants were most reliable in giving information on subjects such as:

On the other hand, evaluative questions such as, “How do people look upon farmers having fish ponds” or “What percentage of adults work as day or seasonal labourers?” show a much lower degree of agreement (hence reliability). When key informants' answers on questions asking for quantitative data were compared with the results of the survey data in both areas, it appears that cross checking of their information is necessary. The results are summarized in table 1.

Table 1: Comparisons between key informants and survey data

Key info. SurveyKey info. Survey
Adult literacy66%(8)66%56%(21)77%
Female headed households31%(13)37%26%(18)16%
Day & seasonal labourers41%(30)8%45%(26)21%
Households keeping chickens89%(10)75%97%(5)70%
Households keeping goats38%(17)28%38%(25)21%
Households keeping cattle30%(25)14%33%(26)10%

Standard deviation is given in brackets

It appears that cross checking of their information is necessary. The key informants used were the better educated, better off and more powerful persons in the community with presumably extensive knowledge of their own communities and fellow citizens. In fact, it appeared that many of them were “outsiders” to the communities and could as such not give much detailed information on social relations within villages and people's priorities.

Informal interviews with elders gave important information on the history of the village, important events in the area and the village's attitude concerning certain groups of people (e.g. those who beg for food, day labourers, those who hire labour, innovators) without identifying individuals. This information helped to form a picture of the socio-cultural environment. However, elders and especially headmen, would like to give a harmonious picture of their village. This introduces biases.

It is obvious that care should be taken when identifying informants. Efforts should be made to select representatives of all groups within the communities.

The survey gave valuable quantitative data on the relative importance of certain variables. Nevertheless, its major shortcomings are:

There were indications during fieldwork that network analysis could be an important contribution to the understanding of the adoption process. However, reliance on mainly survey data produced inadequate information. A network analysis requires a lot more direct observation than was carried out during this study.

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