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Best--worst scaling: What it can do for health care research and how to do it.
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för folkhälso- och vårdvetenskap, Centrum för forsknings- och bioetik.
2007 (engelsk)Inngår i: Journal of Health Economics, ISSN 0167-6296, E-ISSN 1879-1646, Vol. 26, nr 1, s. 171-89Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

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2007. Vol. 26, nr 1, s. 171-89
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URN: urn:nbn:se:uu:diva-244571DOI: 10.1016/j.jhealeco.2006.04.002PubMedID: 16707175OAI: oai:DiVA.org:uu-244571DiVA, id: diva2:789285
Tilgjengelig fra: 2015-02-18 Laget: 2015-02-18 Sist oppdatert: 2017-12-04

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