Development, Implementation, and Evaluation of a More Efficient Method of Best-Worst Scaling Data Collection

Courtney Bir, Michael Delgado and Nicole Widmar

Agricultural and Resource Economics Review, 2022, vol. 51, issue 1, 178-201

Abstract: Discrete choice experiments are used to collect data that facilitates measurement and understanding of consumer preferences. A sample of 750 respondents was employed to evaluate a new method of best-worst scaling data collection. This new method decreased the number of attributes and questions while discerning preferences for a larger set of attributes through self-stated preference “filter” questions. The new best-worst method resulted in overall equivalent rates of transitivity violations and lower incidences of attribute non-attendance than standard best-worst scaling designs. The new method of best-worst scaling data collection can be successfully employed to efficiently evaluate more attributes while improving data quality.

Date: 2022
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