Best-worst scaling: What it can do for health care research and how to do it
Best-worst scaling: What it can do for health care research and how to do it
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DOI：
10.1016/j.jhealeco.2006.04.002
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发表时间：
2007-01-01
影响因子：
3.5
通讯作者：
Coast, Joanna
中科院分区：
文献类型：
--
作者：
Flynn, Terry N.;Louviere, Jordan J.;Coast, Joanna
像“护理质量比等待时间更有价值”这样的说法既不能被传统离散选择实验（DCE）的效用参数的比较所支持，也不能被反驳。最佳-最差缩放可以克服这个问题，因为它要求受访者执行不同的选择任务。然而，虽然最好的最坏的任务的性质是普遍理解的，有一些问题的设计和分析的最好的最坏的选择实验，需要进一步的阐述。本文说明了如何汇总和分析这些数据，并使用生活质量试点研究表明如何更丰富的见解，可以通过使用最好的最差的任务。(c)2006 Elsevier B. V.保留所有权利。
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. (c) 2006 Elsevier B.V. All rights reserved.