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• W2157237487 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." @default.
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• W2157237487 date "2007-01-01" @default.
• W2157237487 modified "2023-10-11" @default.
• W2157237487 title "Best–worst scaling: What it can do for health care research and how to do it" @default.
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• W2157237487 doi "https://doi.org/10.1016/j.jhealeco.2006.04.002" @default.
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