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Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues.

dc.contributor.author Johnson, FR
dc.contributor.author Kaczynski, A
dc.contributor.author Mühlbacher, Axel C
dc.contributor.author Zweifel, P
dc.coverage.spatial Germany
dc.date.accessioned 2016-03-17T13:02:02Z
dc.date.issued 2016-12
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/26822869
dc.identifier 10.1186/s13561-015-0077-z
dc.identifier.uri https://hdl.handle.net/10161/11718
dc.description.abstract For optimal solutions in health care, decision makers inevitably must evaluate trade-offs, which call for multi-attribute valuation methods. Researchers have proposed using best-worst scaling (BWS) methods which seek to extract information from respondents by asking them to identify the best and worst items in each choice set. While a companion paper describes the different types of BWS, application and their advantages and downsides, this contribution expounds their relationships with microeconomic theory, which also have implications for statistical inference. This article devotes to the microeconomic foundations of preference measurement, also addressing issues such as scale invariance and scale heterogeneity. Furthermore the paper discusses the basics of preference measurement using rating, ranking and stated choice data in the light of the findings of the preceding section. Moreover the paper gives an introduction to the use of stated choice data and juxtaposes BWS with the microeconomic foundations.
dc.language eng
dc.relation.ispartof Health Econ Rev
dc.relation.isversionof 10.1186/s13561-015-0077-z
dc.subject Best-Worst Scaling
dc.subject Choice Experiments
dc.subject Discrete Choice Experiments
dc.subject MaxDiff Scaling
dc.subject Stated Preferences
dc.title Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues.
dc.type Journal article
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/26822869
pubs.begin-page 5
pubs.issue 1
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke
pubs.organisational-group Duke Clinical Research Institute
pubs.organisational-group Institutes and Centers
pubs.organisational-group Medicine
pubs.organisational-group Medicine, General Internal Medicine
pubs.organisational-group School of Medicine
pubs.publication-status Published
pubs.volume 6


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