An illustrated guide to context effects

IF 2.2 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematical Psychology Pub Date : 2023-08-01 DOI:10.1016/j.jmp.2023.102790
Clintin P. Davis-Stober , A.A.J. Marley , William J. McCausland , Brandon M. Turner
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Abstract

Three context effects pertaining to stochastic discrete choice have attracted a lot of attention in Psychology, Economics and Marketing: the similarity effect, the compromise effect and the asymmetric dominance effect. Despite this attention, the existing literature is rife with conflicting definitions and misconceptions. We provide theorems relating different variants of each of the three context effects, and theorems relating the context effects to conditions on discrete choice probabilities, such as random utility, regularity, the constant ratio rule, and simple scalability, that may or may not hold for any given discrete choice model. We show how context effects at the individual level may or may not aggregate to context effects at the population level. Importantly, we offer this work as a guide for researchers to sharpen empirical tests and aid future development of choice models.

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上下文效果的图解指南
与随机离散选择相关的三种情境效应引起了心理学、经济学和市场营销学的广泛关注:相似性效应、妥协效应和不对称优势效应。尽管如此,现有的文献中充斥着相互矛盾的定义和误解。我们提供了与三种上下文效应的不同变体相关的定理,以及将上下文效应与离散选择概率的条件相关的定理,如随机效用、规律性、恒定比规则和简单可扩展性,这些定理可能适用于也可能不适用于任何给定的离散选择模型。我们展示了个体水平上的环境效应如何可能或可能不会汇总到群体水平上的环境效应。重要的是,我们提供这项工作,为研究人员提供指导,以提高实证检验和帮助未来发展的选择模型。
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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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