Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The ordinal scale and polychotomous choice methods are two widely used techniques for estimating preference uncertainty in stated preference studies. This article presents the results of two experiments that apply these estimation techniques. The first experiment was designed to compare and contrast the scores of the ordinal scale and polychotomous choice method. The second experiment was conducted to test a scale that combines verbal expressions with numerical and graphical interpretations: a composite scale. The results of the study can be summarized in three key findings. First, the polychotomous choice method generates a higher proportion of ‘yes’ responses than the conventional dichotomous choice elicitation format. Second, the composite scale generates a significantly higher proportion of certain responses. Finally, the ordinal scale performs poorly on the ground of construct validity.