Attribute Selection for a Discrete Choice Experiment Incorporating a Best-Worst Scaling Survey

ObjectivesAlthough literature exists on using qualitative methods to generate potential attributes for a discrete choice experiment (DCE), there is little selecting which include. We present case study in best-worst scaling 1 (BWS-1) survey was used guide attribute selection DCE. The study’s context the decision making of professionals around augmentative and alternative communication (AAC) systems children with limited natural speech.MethodsBWS-1 were generated from reviews focus groups. DCE selected BWS-1 attributes. criteria were: include mostly important attributes; create coherent descriptions AAC systems; address project’s research aims; have an appropriate respondent burden. Attributes’ importance judged relative scores.ResultsThe included 19 child 18 device/system administered N = 93 professionals. Four five DCE, 155 professionals.ConclusionsIn this results useful selection. recommendations are made future studies: define priori; consider impact participant’s perspective will results; clearly key terminology at start refine it as progresses reflect interim findings; BWS be when existing stated preference work topic and/or difficult.