The process of environmental valuation is critical to modern natural resource management practices. A common format for coastal resource valuation is the three-option choice experiment, which is appropriate for complex applications and efficiently estimates WTP magnitude. Choice experiments, however, lack theoretical incentive compatibility according to the Gibbard-Satterthwaite Theorem. As a result, a major criticism of three-option choice experiments is their susceptibility to strategic voting. In this thesis, we investigate the impact of strategic voting by constructing a conceptual model that allows potential strategic voters to be identified and accounted for. The Forsythe Wildlife National Refuge restoration plan is valued using conditional logit, mixed logit, and attribute non-attendance models. Potential strategic voters are identified and the models are adjusted using categorical variable interaction terms. The adjusted models perform better on information criteria tests, and a Wald test shows that the adjusted models are significantly different from the base models.
