CONCENTRIC SAMPLING IN FARMING SYSTEMS RESEARCH
主张在农业系统研究中采用长期深入的社会经济调查而非快速评估，并描述了一种基于详细抽样框的同心抽样方法，使不同样本可通过共同受访者直接关联，从而推断因果关系并辅助田间试验选址。
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.