Best–worst scaling: What it can do for health care research and how to do it

T Flynn, J Louviere, T Peters, Joanna Coast

    Research output: Contribution to journalArticle

    442 Citations (Scopus)


    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.
    Original languageEnglish
    Pages (from-to)171-189
    Number of pages19
    JournalJournal of Health Economics
    Issue number1
    Publication statusPublished - 1 Jan 2007


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