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Survey tools for research conducted in the Amazon

dataset
posted on 23.02.2021, 20:38 by Willandia Chaves, David Wilcove, Aline Tavares, Denis Valle, Thais Morcatty
Three survey tools used to conduct surveys in the Amazon during 2018: (1) Household survey with direct questions only. This questionnaire includes questions using direct questioning methods (e.g. did you consume wild meat in your house in 2018?). It contains questions about household food consumption, meat preference, and socioeconomic data. Data collected with this questionnaire were also used as part of a randomized response technique (Unrelated Question Design; Greenberg et al. 1971; Blair et al. 2015). Surveys were conducted with heads of households (men or women). (2) Household survey with indirect and direct questions. This questionnaire includes questions using both indirect questioning methods (i.e. randomized response technique: Unrelated Question Design) and direct questioning methods. It contains questions about meat consumption, meat preference, and socioeconomic data. Surveys were conducted with heads of households (men or women). (3) Anonymous survey of school children. This questionnaire included both indirect questioning methods (non-randomized response technique: Triangular Model; Yu et al. 2008). It contains questions about meat consumption, meat preference, and socioeconomic data. Surveys were conducted with children between 12 and 18 years old. References: Blair G, Imai K, Zhou Y-Y. 2015. Design and Analysis of the Randomized Response Technique. Journal of the American Statistical Association 110:1304-1319. Greenberg BG, Kuebler RR, Abernathy JR, Horvitz DG. 1971. Application of the Randomized Response Technique in Obtaining Quantitative Data. Journal of the American Statistical Association 66:243-250 Yu J-W, Tian G-L, Tang M-L. 2008. Two new models for survey sampling with sensitive characteristic: design and analysis. Metrika 67, 251–263. Any questions, please contact Willandia Chaves at wchaves@vt.edu.

History

Publisher

University Libraries, Virginia Tech

Language

English