NDLI: An illustrated review of some farmer participatory research techniques

Content Provider	Springer Nature Link
Author	Riley, Janet Fielding, William J.
Copyright Year	2001
Abstract	A review of farmer participatory research is given highlighting its variety and wide range of terminologies. Two types of methodology are discussed, rapid rural appraisals (RRA) and participatoryrural appraisals (PRA). Some methods included in the PRA group generate quantitative and qualitative data suitable for statistical analysis. The need to ensure rigor in these studies is emphasized, but this is often shunned by researchers in the belief that their studies are simple and require no more than an elementary summary. Yet the multidisciplinary nature of participatory studies, the inherent data variability, and their small sample sizes render them complex in design, analysis, and interpretation. Using three “simple” sets of ranking data from PRA studies, it is shown that statistical methods must be simple to be adopted, that data are often poor in quality, and that parametric assumptions might not always hold. The complex underlying structure of many datasets demands a flexible approach to analysis and interpretation. Greater collaboration between researchers and statisticians will improve the supply of good datasets that can be used to improve statistical techniques for this type of research and ultimately generate greater confidence in the use of statistical methodologies.
Starting Page	5
Ending Page	18
Page Count	14
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	6
Issue Number	1
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Collaboration Data quality Nonparametric On-farm Participatory rural appraisal Rapid rural appraisal Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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