Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
An illustrated review of some farmer participatory research techniques
Autore:
Riley, J; Fielding, WJ;
Indirizzi:
IACR Rothamsted, Overseas Biometr Unit, Harpenden AL5 2JQ, Herts, England IACR Rothamsted Harpenden Herts England AL5 2JQ n AL5 2JQ, Herts, England
Titolo Testata:
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
fascicolo: 1, volume: 6, anno: 2001,
pagine: 5 - 18
SICI:
1085-7117(200103)6:1<5:AIROSF>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Keywords:
collaboration; data quality; nonparametric; on-farm; participatory rural appraisal; rapid rural appraisal;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
31
Recensione:
Indirizzi per estratti:
Indirizzo: Riley, J IACR Rothamsted, Overseas Biometr Unit, Harpenden AL5 2JQ, Herts,England IACR Rothamsted Harpenden Herts England AL5 2JQ , Herts, England
Citazione:
J. Riley e W.J. Fielding, "An illustrated review of some farmer participatory research techniques", J AGRIC BIO, 6(1), 2001, pp. 5-18

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 participatory rural appraisals (PRA). Somemethods 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 beadopted, 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.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 18/01/20 alle ore 01:39:22