Analyzing Data from Participatory
On-Farm Trials: Research and
Participation and the systematic collection, analysis, and interpretation of data are not contradictory activities. Among some practitioners there is a belief that adoption of a participatory paradigm removes the need, or even makes it impossible, for researchers to collect and analyze data. The purpose of participation is seen as empowerment of local people, which is inconsistent with researchers conducting activities that meet their own objectives. However, many researchers recognize that broad conclusions of relevance beyond the immediate participants are still necessary, and that a part of this research must be the collection and interpretation of data.
A participatory approach, however, has implications for the collection, analysis and presentation of data. Data from onfarm trials take many forms, from crop yields measured on individual plots to the reported consensus of participants at a group meeting. Data collection is done using qualitative and quantitative methods and by different individual and groups of people. Data analysis can also be for, and to some extent by, different participants, each of whom have their own interests and objectives.
Coe, R. 2002. Analyzing Data from
Participatory On-Farm Trials. In: Bellon, M.R.
and J. Reeves (eds). Quantitative Analysis
of Data from Participatory Methods in
Plant Breeding. Mexico, Df: CIMMYT. pp
Coe, R. 2002. Analyzing Ranking and
Rating Data from Participatory On-Farm
Trials. In: Bellon, M.R. and J. Reeves (eds).
Quantitative Analysis of Data from
Participatory Methods in Plant Breeding.
Mexico, DF: CIMMYT. pp 44–64.