Best--worst scaling: What it can do for health care research and how to do it.
2007 (English)In: Journal of Health Economics, ISSN 0167-6296, E-ISSN 1879-1646, Vol. 26, no 1, 171-89 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2007. Vol. 26, no 1, 171-89 p.
Health Care Service and Management, Health Policy and Services and Health Economy
IdentifiersURN: urn:nbn:se:uu:diva-244571DOI: 10.1016/j.jhealeco.2006.04.002PubMedID: 16707175OAI: oai:DiVA.org:uu-244571DiVA: diva2:789285