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CONCENTRIC SAMPLING IN FARMING SYSTEMS RESEARCH
Author(s) -
Allen J. M. S.
Publication year - 1992
Publication title -
journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.157
H-Index - 61
eISSN - 1477-9552
pISSN - 0021-857X
DOI - 10.1111/j.1477-9552.1992.tb00203.x
Subject(s) - sampling frame , sampling (signal processing) , extrapolation , frame (networking) , sample (material) , agriculture , selection (genetic algorithm) , work (physics) , relation (database) , frame work , statistics , econometrics , computer science , agricultural engineering , agricultural science , operations research , mathematics , data mining , geography , environmental science , engineering , artificial intelligence , sociology , population , filter (signal processing) , architectural engineering , chemistry , archaeology , telecommunications , chromatography , computer vision , mechanical engineering , demography
A preliminary case is made for intensive and long‐term socio‐economic survey work in farming systems research (FSR), as opposed to a reliance on rapid appraisals. A sampling methodology is described, based on collection of a detailed sample frame, which allows the selection of samples which can be related directly to each other, through common respondents. Thus causal relationships can be determined in one sample and, by extrapolation, linked to attributes found in another. The sampling method also makes it easy to select farmers with specific attributes for on‐farm trial sites, and allows a more informed interpretation of agronomic results in relation to farm management criteria.
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