Design and analysis of simple choice surveys for natural resource management

John R Fieberg, Louis Cornicelli, David C. Fulton, Marrett D. Grund

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)871-879
Number of pages9
JournalJournal of Wildlife Management
Volume74
Issue number4
DOIs
StatePublished - May 1 2010

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natural resource management
logit analysis
resource management
natural resource
methodology
analysis
method
public

Keywords

  • Attitude survey
  • Choice survey
  • Deer management
  • Discrete choice model
  • Human dimensions
  • Nested logit model
  • Stated preference survey

Cite this

Design and analysis of simple choice surveys for natural resource management. / Fieberg, John R; Cornicelli, Louis; Fulton, David C.; Grund, Marrett D.

In: Journal of Wildlife Management, Vol. 74, No. 4, 01.05.2010, p. 871-879.

Research output: Contribution to journalArticle

Fieberg, John R ; Cornicelli, Louis ; Fulton, David C. ; Grund, Marrett D. / Design and analysis of simple choice surveys for natural resource management. In: Journal of Wildlife Management. 2010 ; Vol. 74, No. 4. pp. 871-879.
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