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)

411 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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