title: Best--worst scaling: What it can do for health care research and how to do it.
abstract: Statements like "quality of care is more highly valued than waiting time" can neither be supported nor refuted by comparisons of utility parameters from a traditional discrete choice experiment (DCE). Best--worst scaling can overcome this problem because it asks respondents to perform a different choice task. However, whilst the nature of the best--worst task is generally understood, there are a number of issues relating to the design and analysis of a best--worst choice experiment that require further exposition. This paper illustrates how to aggregate and analyse such data and using a quality of life pilot study demonstrates how richer insights can be drawn by the use of best--worst tasks.
authors.affiliation: MRC Health Services Research Collaboration, Department of Social Medicine, University of Bristol, UK. terry.flynn@bristol.ac.uk
authors.forename: Terry N
authors.initials: TN
authors.lastname: Flynn
authors.forename: Jordan J
authors.initials: JJ
authors.lastname: Louviere
authors.forename: Tim J
authors.initials: TJ
authors.lastname: Peters
authors.forename: Joanna
authors.initials: J
authors.lastname: Coast
mesh_terms: D003258:Consumer Behavior; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D011788:Quality of Life; D006113:United Kingdom