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Efficient Choice Designs for a Consider-Then-Choose Model

机译:考虑再选择模型的有效选择设计

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Existing research on choice designs focuses exclusively on compensatory models that assume that all available alternatives are considered in the choice process. In this paper, we develop a method to construct efficient designs for a two-stage, consider-then-choose model that involves a noncompensatory screening process at the first stage and a compensatory choice process at the second stage. The method applies to both conjunctive and disjunctive screening rules. Under certain conditions, the method also applies to the subset conjunctive and disjunctions of conjunctions screening rules. Based on the local design criterion, we conduct a comparative study of compensatory and conjunctive designs-the former are optimized for a compensatory model and the latter for a two-stage model that uses conjunctive screening in its first stage. We find that conjunctive designs have higher level overlap than compensatory designs. This occurs because level overlap helps pinpoint screening behavior. Higher overlap of conjunctive designs is also accompanied by lower orthogonality, less level balance, and more utility balance. We find that compensatory designs have a significant loss of design efficiency when the true model involves conjunctive screening at the consideration stage. These designs also have much less power than conjunctive designs in identifying a true consider-then-choose process with conjunctive screening. In contrast, when the true model is compensatory, the efficiency loss from using a conjunctive design is lower. Also, conjunctive designs have about the same power as compensatory designs in identifying a true compensatory choice process. Our findings make a strong case for the use of conjunctive designs when there is prior evidence to support respondent screening.
机译:现有的关于选择设计的研究仅专注于补偿模型,这些模型假设在选择过程中考虑了所有可用的替代方案。在本文中,我们开发了一种为两阶段“先考虑后选择”模型构建有效设计的方法,该模型在第一阶段涉及非补偿筛选过程,在第二阶段涉及补偿选择过程。该方法适用于合取和合取筛选规则。在某些条件下,该方法还适用于连接点筛选规则的子集合取和析取。根据本地设计标准,我们对补偿性和联合设计进行了比较研究-前者针对补偿模型进行了优化,而后者针对在第一阶段使用联合筛选的两阶段模型进行了优化。我们发现,合取性设计比补偿性设计具有更高的层次重叠。发生这种情况是因为级别重叠有助于查明筛选行为。联合设计的更高重叠度还伴随着更低的正交性,更少的水平平衡和更多的效用平衡。我们发现,当真正的模型在考虑阶段涉及联合筛选时,补偿性设计会大大降低设计效率。与联合设计相比,这些设计在通过联合筛选确定真正的“先选择后选择”过程方面也比联合设计具有更少的功能。相反,当真实模型是补偿性的时,使用联合设计的效率损失会更低。同样,在确定真正的补偿选择过程时,联合设计的功能与补偿设计的功能大致相同。当有先前的证据支持受访者筛查时,我们的发现为联合设计的使用提供了有力的依据。

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