SKIP SEQUENCING: A DECISION PROBLEM IN QUESTIONNAIRE DESIGN
SKIP SEQUENCING: A DECISION PROBLEM IN QUESTIONNAIRE DESIGN
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DOI：
10.1214/07-aoas134
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发表时间：
2008-03-01
影响因子：
1.8
通讯作者：
Molinari, Francesca
中科院分区：
文献类型：
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作者：
Manski, Charles F.;Molinari, Francesca
本文将问卷设计作为一个形式化的决策问题来研究，重点关注设计过程中的一个要素：跳跃排序。我们建议，一个调查计划者使用所有明确的损失函数来量化的成本和信息量的调查之间的权衡，并旨在作出设计选择，最大限度地减少损失。我们提出了三个选项之间的选择：问所有受访者关于一个感兴趣的项目，使用跳过排序。从而仅向在开场问题中给出一定答案的应答者询问该项目，或者根本不询问该项目。第一种选择是最有信息量的，但也是最昂贵的。使用跳跃排序减少了受访者的负担和采访成本，但可能会传播调查项目的数据质量问题，从而降低信息量。最后一个选项没有成本，但对感兴趣的项目完全没有信息。我们展示了如何规划者可以选择这三个选项中存在的两个推理问题，项目无反应和反应错误。
This paper studies questionnaire design as a formal decision problem, focusing oil one element of the design process: skip sequencing. We propose that a Survey planner use all explicit loss function to quantify the trade-off between cost and informativeness of the survey and aim to make a design choice that minimizes loss. We pose a choice between three options: ask all respondents about an item of interest, use skip sequencing. thereby asking the item only of respondents who give a certain answer to in opening question, or do not ask the item at all. The first option is most informative but also most costly. The use of skip sequencing reduces respondent burden and the cost of interviewing, but may spread data quality problems across survey items, thereby reducing informativeness. The last option has no cost but is completely uninformative about the item of interest. We show how the planner may choose among these three options in the presence of two inferential problems, item nonresponse and response error.