A robust Bayesian test for identifying context effects in multiattribute decision-making.

ABSTRACT: Research on multiattribute decision-making has repeatedly shown that people's preferences for options depend on the set of other options they are presented with, that is, the choice context. As a result, recent years have seen the development of a number of psychological theories explaining context effects. However, much less attention has been given to the statistical analyses of context effects. Traditionally, context effects are measured as a change in preference for a target option across two different choice sets (the so-called relative choice share of the target, or RST). We first show that the frequently used definition of the RST measure has some weaknesses and should be replaced by a more appropriate definition that we provide. We then show through a large-scale simulation that th

SUBMITTER: Katsimpokis D 

PROVIDER: S-EPMC10104952 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature