{"title":"Modelling consideration heterogeneity in a two-stage conjunctive model","authors":"Frits Traets, Michel Meulders, Martina Vandebroek","doi":"10.1016/j.jmp.2022.102687","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"109 ","pages":"Article 102687"},"PeriodicalIF":2.2000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Psychology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022249622000359","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
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