A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India

IF 1.9 3区 社会学 Q2 COMMUNICATION
Charles Q. Lau, Jennifer Unangst, S. Eckman, Pramod Bhatt, Jonathan Evans, Martha McRoy, Kelsey Starr, L. Thalji, Justine Allpress, Kasey Jones, James Cajka, John David Bunker
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引用次数: 1

Abstract

Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along three dimensions: (a) performance indicators—response rates and contact attempts; (b) sample composition; and (c) components of variance. We help researchers understand the survey contexts for which geosampling and random walk are best suited.
印度北方邦家庭样本选择的地理抽样和随机抽样方法的比较
我们的研究评估了一种名为“地理采样”的家庭调查创新采样技术,该技术利用了地理信息系统、计算机视觉算法和卫星图像的最新进展。我们将地质采样与随机行走方法进行了比较。我们在印度北方邦进行了两次调查:一次使用地质采样(1026次完成),另一次使用随机行走(939次完成)。我们从三个维度比较了这两种采样技术:(a)性能指标——响应率和接触尝试;(b) 样品组成;和(c)方差分量。我们帮助研究人员了解地理采样和随机行走最适合的调查环境。
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来源期刊
CiteScore
3.10
自引率
11.10%
发文量
23
期刊介绍: The International Journal of Public Opinion Research welcomes manuscripts that describe: - studies of public opinion that contribute to theory development and testing about political, social and current issues, particularly those that involve comparative analysis; - the role of public opinion polls in political decision making, the development of public policies, electoral behavior, and mass communications; - evaluations of and improvements in the methodology of public opinion surveys.
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