Best-Worst Scaling: What it can do for health care research and how to do it

TN Flynn, JJ Louviere, TJ Peters, J Coast

Research output: Contribution to journalArticle (Academic Journal)peer-review

457 Citations (Scopus)

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.
Translated title of the contributionBest-Worst Scaling: What it can do for health care research and how to do it
Original languageEnglish
Pages (from-to)171 - 189
Number of pages19
JournalJournal of Health Economics
Volume26 (1)
DOIs
Publication statusPublished - Jan 2007

Bibliographical note

Publisher: Elsevier

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