• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation Research >Not bored yet - Revisiting respondent fatigue in stated choice experiments
【24h】

Not bored yet - Revisiting respondent fatigue in stated choice experiments

机译：尚未感到厌烦-在指定的选择实验中重新探讨受访者的疲劳感

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Stated choice surveys are used extensively in the study of choice behaviour across many different areas of research, notably in transport. One of their main characteristics in com parison with most types of revealed preference (RP) surveys is the ability to capture behav iour by the same respondent under varying choice scenarios. While this ability to capture multiple choices is generally seen as an advantage, there is a certain amount of unease about survey length. The precise definition about what constitutes a large number of choice tasks however varies across disciplines, and it is not uncommon to see surveys with up to twenty tasks per respondent in some areas. The argument against this practice has always been one of reducing respondent engagement, which could be interpreted as a result of fatigue or boredom, with frequent reference to the findings of Bradley and Daly (1994) who showed a significant drop in utility scale, i.e. an increase in error, as a respondent moved from one choice experiment to the next, an effect they related to respondent fati gue. While the work by Bradley and Daly has become a standard reference in this context, it should be recognised that not only was the fatigue part of the work based on a single dataset, but the state-of-the-art and the state-of-practice in stated choice survey design and implementation has moved on significantly since their study. In this paper, we review other literature and present a more comprehensive study investigating evidence of respon dent fatigue across a larger number of different surveys. Using a comprehensive testing framework employing both Logit and mixed Logit structures, we provide strong evidence that the concerns about fatigue in the literature are possibly overstated, with no clear decreasing trend in scale across choice tasks in any of our studies. For the data sets tested, we find that accommodating any scale heterogeneity has little or no impact on substantive model results, that the role of constants generally decreases as the survey progresses, and that there is evidence of significant attribute level (as opposed to scale) heterogeneity across choice tasks.
机译：有条件的选择调查广泛用于研究许多不同研究领域的选择行为，特别是在运输领域。与大多数类型的显性偏好调查相比，它们的主要特征之一是能够在不同选择情况下捕捉同一受访者的行为。尽管通常将捕获多种选择的能力视为优势，但对调查长度存在一定程度的不安。但是，关于构成大量选择任务的确切定义因学科而异，并且在某些领域中，每个受访者最多有二十项任务在调查中并不少见。反对这种做法的论点一直是减少受访者的参与，这可以解释为疲劳或无聊的结果，并经常参考Bradley和Daly（1994）的发现，他们发现公用事业规模显着下降，即错误的增加，是因为受访者从一项选择实验转到另一项选择实验，这种影响与受访者疲劳有关。尽管Bradley和Daly的工作已成为这种情况下的标准参考，但应该认识到，不仅是基于单个数据集的工作的疲劳部分，而且还包括最新技术和最新技术。自研究以来，明确选择调查的设计和实施实践已显着发展。在本文中，我们回顾了其他文献，并提出了更全面的研究，以调查大量不同调查中响应疲劳的证据。使用同时采用Logit和混合Logit结构的综合测试框架，我们提供有力的证据表明，对文献中疲劳的担忧可能被夸大了，在我们的任何研究中，选择任务的规模都没有明显下降的趋势。对于测试的数据集，我们发现适应任何规模的异质性对实体模型的结果影响很小或没有影响，常数的作用通常随着调查的进行而减少，并且有证据表明显着的属性水平（与规模相对）选择任务之间的异质性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号