An introduction to “discrete choice experiments” for behavior analysts

• Published in: Behavioural processes 2022-05, Vol.198, p.104628-104628, Article 104628
• Main Authors: Friedel, Jonathan E., Foreman, Anne M., Wirth, Oliver
• Format: Article
• Language: English
• Subjects: Choice; Choice Behavior; Discrete choice experiment; Humans; Matching law; Models, Statistical; Patient Preference; Preference
• ISSN: 0376-6357; 1872-8308
• DOI: 10.1016/j.beproc.2022.104628

In this paper, we introduce discrete choice experiments (DCEs) and provide foundational knowledge on the topic. DCEs are one of the most popular methods within econometrics to study the distribution of choices within a population. DCEs are particularly useful when studying the effects of categorical variables on choice. Procedurally, a DCE involves recruiting a large sample of individuals exposed to a set of choice arrays. The factors that are suspected to affect choice are varied systematically across the choice arrays. Most commonly, DCE data are analyzed with a multinomial logit statistical model with a goal of determining the relative utility of each relevant factor. We also discuss DCEs in comparison with behavioral choice models, such as those based on the matching law, and we show an example of a DCE to illustrate how a DCE can be used to understand choice with behavioral, social, and organizational factors. •Discrete choice experiments (DCE) are commonly used to study choice in economics.•With a DCE, choice is distributed based on the utility of choice alternatives.•There is significant divergence between psychology and economics in studying choice.•There is conceptual overlap between psychology and economics in studying choice.