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Keyword: factor analysis

Data collected in 2012 using Q-methodology to identify the importance of water-based ecosystem services derived from the Shoshone National Forest

Datasets Posted on: March 15, 2018
This data publication contains the results of a 2012 study of the preferences of 96 stakeholders (e.g., farmers, ranchers, outfitters and guides, average citizens, natural resource managers and scientists, county commissioners) from Wyoming and Montana for 34 water-based ecosystem services.

Applying Q-methodology to select and define attributes for non-market valuation: A case study from Northwest Wyoming, United States

Publications Posted on: September 30, 2014
The underlying validity of stated preference non-market valuation methods relies on the analyst's ability to identify, select, define, and articulate the goods being valued in a way that is relevant and understandable to the respondent, which requires detailed understanding of the respondents' experiences and points of view. Poor articulation of the good being valued will result in biased to useless information for decision-makers.

Heterogeneous nonmarket benefits of managing white pine bluster rust in high-elevation pine forests

Publications Posted on: June 28, 2013
This article describes a nonmarket valuation study about benefits of managing the invasive disease white pine blister rust in highelevation forests in the Western United States. Results demonstrate that, on average, households in the Western United States are willing to pay $154 to improve the resiliency of these forests. Factor analysis shows that long-run protection of the forests dominates recreation in motivating support.