Modelling consideration heterogeneity in a two-stage conjunctive model

IF 2.2 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematical Psychology Pub Date : 2022-08-01 DOI:10.1016/j.jmp.2022.102687
Frits Traets, Michel Meulders, Martina Vandebroek
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Abstract

We propose a two-stage choice model in which decision makers first filter out alternatives (consideration stage) before choosing their preferred alternative among the considered options (choice stage). The model accounts for heterogeneity in consideration screening by allowing respondents to have different thresholds for accepting attribute levels. By utilizing a conjunctive consideration rule, the model can capture well-known non-compensatory screening heuristics. The decision stage is modelled with a compensatory utility model. We compare our two-stage approach with the mixed logit model on simulated choice data, and conclude that both models can be distinguished based on the pattern of opt-out responses they produce. If such responses are the result of screening behaviour, the two-stage model is always selected in favour of a single-stage model. In addition, we evaluated several models on empirical choice data concerning preferences towards cinemas. Our results show that the data is best explained by the proposed model, suggesting that 73% of the participants used a screening rule before making a final choice.

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建模考虑了两阶段联合模型的异质性
我们提出了一个两阶段选择模型,其中决策者首先过滤掉备选方案(考虑阶段),然后在考虑的备选方案中选择自己的首选方案(选择阶段)。该模型通过允许受访者对接受属性水平有不同的阈值来解释考虑筛选中的异质性。通过使用一个联合考虑规则,该模型可以捕获众所周知的非补偿性筛选启发式。决策阶段用一种补偿实用新型建模。我们将我们的两阶段方法与模拟选择数据的混合logit模型进行了比较,并得出结论,这两种模型都可以根据它们产生的选择退出响应模式进行区分。如果这种反应是筛选行为的结果,则总是选择两阶段模型而不是单阶段模型。此外,我们评估了几个关于对电影院偏好的经验选择数据模型。我们的结果表明,数据是最好的解释所提出的模型,表明73%的参与者在做出最终选择之前使用筛选规则。
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来源期刊
Journal of Mathematical Psychology
Journal of Mathematical Psychology 医学-数学跨学科应用
CiteScore
3.70
自引率
11.10%
发文量
37
审稿时长
20.2 weeks
期刊介绍: The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory
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