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