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.
Publication Year: 2006
Publication Date: 2006-05-17
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
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Cited By Count: 688
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