R-based graphical user interface series for teaching and learning introductory stated preference methods: dichotomous choice contingent valuation, discrete choice experiments, and best–worst scaling

Abstract Software is indispensable for implementing stated preference (SP) studies. Many software packages, particularly free and open-source ones, operate primarily through commands; this can create challenges for students learning SP methods, as those without prior programming experience may face both the psychological burden and the time cost of simultaneously learning SP methods and skills of the associated programming. To support the teaching and learning of introductory-level SP methods, this study developed an R-based graphical user interface (GUI) series designed to conceal coding barriers that may hinder students’ ability to learn the methods. This paper provides lecturers with an overview of SP methods to help them grasp the functionality and features of the SP-GUI series, enabling them to assess its usefulness for teaching SP methods. The SP-GUI series is freely available as R Commander plugin packages and focuses on the main groups of SP methods: dichotomous choice contingent valuation, discrete choice experiments, and three types of best–worst scaling. These packages offer functionalities for designing choice sets, collecting responses, estimating models, and conducting post-estimation analyses. Consequently, students can learn R commands effectively without needing coding skills owing to the dependency of the GUI series on R Commander.