We used a simple yet powerful method for judging public support for management actions from randomized surveys. We asked respondents to rank choices (representing management regulations under consideration) according to their preference, and we then used discrete choice models to estimate probability of choosing among options (conditional on the set of options presented to respondents). Because choices may share similar unmodeled characteristics, the multinomial logit model, commonly applied to discrete choice data, may not be appropriate. We introduced the nested logit model, which offers a simple approach for incorporating correlation among choices. This forced choice survey approach provides a useful method of gathering public input; it is relatively easy to apply in practice, and the data are likely to be more informative than asking constituents to rate attractiveness of each option separately.
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1 May 2010
Design and Analysis of Simple Choice Surveys for Natural Resource Management
John Fieberg,
Louis Cornicelli,
David C. Fulton,
Marrett D. Grund
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Journal of Wildlife Management
Vol. 74 • No. 4
May 2010
Vol. 74 • No. 4
May 2010
attitude survey
choice survey
deer management
discrete choice model
human dimensions
nested logit model
stated preference survey