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Testing the consistency (or lack thereof) between choices in best-worst surveys

机译:在最糟糕的调查中测试选择之间的一致性(或缺乏)

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Best-Worst (BW) stated choice surveys (SC) have rapidly increased in popularity in recent years, in fields as diverse as transport, marketing and health research. They provide more information per choice task, and are considered superior to standard ranking due to a perceived propensity by respondents to identify and respond more consistently to extreme options. Despite numerous applications of different variants of BW SC, the stability of preferences across stages has not been tested in any rigorous manner to date, with analysts relying on an assumption that only differences in scale exist between stages. This paper fills the gap by investigating the stability of response patterns across stages for sequential and simultaneous variants of BW SC. Using datasets from three different studies, we show that, regardless of the dataset used, the obtained estimates are not stable across stages, going beyond the differences in scale commonly taken into account. In all our datasets, we found significant and substantial differences between marginal utility estimates and implied monetary valuations across stages.
机译:最佳最差(BW)表示选择调查(SC)在最近几年中迅速普及增加,领域广泛,包括运输,销售和健康研究。他们提供每个选择任务的详细信息,并通过受访者识别和响应更一致认为优于标准的排名,由于感知倾向极端的选择。尽管BW SC的不同变种的大量应用,喜好的跨阶段的稳定性还没有任何严谨的态度迄今测试,并依赖于一个假设,分析师认为,在阶段之间的规模只存在差异。本文填充通过调查的响应模式跨越阶段稳定性BW SC的相继和同时变体的间隙中。使用来自三个不同的研究数据集,我们发现,无论所使用的数据集,所得到的估计是不能跨阶段稳定的,超越一般考虑到规模的差异。在我们所有的数据集,我们发现边际效用估计和跨阶段的隐含估值货币之间显著和巨大的差别。

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