ABSTRACT
Stated or discrete choice experiments have been applied extensively in many research fields, but so far only sparsely in the field of workplace research. This chapter describes the research approach and gives examples of workplace design studies where it has been applied successfully. Stated choice experiments are used for measuring and predicting individuals’ preferences and choices of alternatives under hypothetical situations. The alternatives are described by a number of attribute levels and created based on an experimental design, and subsequently presented to respondents in choice sets. Respondents are asked to select their most preferred alternative in a given choice situation, requiring them to make trade-offs among attributes like they would in real life. Data can be collected through surveys, interviews, VR-supported tools, or otherwise. Different modelling approaches (e.g. multinominal logit, latent class, mixed logit) are available to estimate on the data gathered. Results provide quantitative measures of the relative importance of the attributes of the choice alternatives, might include people's willingness to pay, and can be used to predict the probability that certain alternatives will be chosen.
This chapter also explains the value of the stated choice approach for workplace managers in practice.
