Violations of transitive preference: A comparison of compensatory and noncompensatory accounts.

IF 5.1 1区 心理学 Q1 PSYCHOLOGY Psychological review Pub Date : 2024-09-19 DOI:10.1037/rev0000502
Rob Ranyard, Henry Montgomery, Ashley Luckman, Emmanouil Konstantinidis
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Abstract

Violations of transitive preference can be accounted for by both the noncompensatory lexicographic semiorder heuristic and the compensatory additive difference model. However, the two have not been directly compared. Here, we fully develop a simplified additive difference (SAD) model, which includes a graphical analysis of precisely which parameter values are consistent with adherence to, or violation of, transitive preference, as specified by weak stochastic transitivity (WST) and triangle inequalities (TI). The model is compatible with compensatory, within-dimension evaluation. We also develop a stochastic difference threshold model that also predicts intransitive preferences and encompasses a stochastic lexicographic semiorder model. We apply frequentist methods to compare the goodness of fit of both of these models to Tversky's (1969) data and four replications and Bayes factor methods to determine the strength of evidence for each model. We find that the two methods of analysis converge and that, for two thirds of the participants for whom predictions can be made, one of these models predicting violations of WST has a good and the best fit and has strong Bayesian support relative to an encompassing model. Furthermore, for about 20% of all participants, the SAD model (consistent with violations of WST or TI) is significantly better-fitting and has stronger Bayesian support than the stochastic difference threshold model. Finally, Bayes factor analysis finds strong evidence against transitive models for most participants for whom the SAD model consistent with violation of WST or TI is strongly supported. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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违反反式偏好:补偿性和非补偿性解释的比较。
非补偿性的词法半阶启发式和补偿性的加法差分模型都可以解释违反传递偏好的情况。但是,这两种方法还没有进行过直接比较。在这里,我们完全建立了一个简化的加法差分(SAD)模型,其中包括对哪些参数值符合或违反弱随机传递性(WST)和三角形不等式(TI)规定的传递偏好的精确图形分析。该模型与补偿性、维度内评价兼容。我们还建立了一个随机差异阈值模型,它也能预测非传递性偏好,并包含一个随机词典半阶梯模型。我们采用频繁主义方法比较这两个模型与 Tversky(1969)的数据和四次复制的拟合程度,并采用贝叶斯因子方法确定每个模型的证据强度。我们发现,这两种分析方法趋于一致,而且对于三分之二可以进行预测的参与者来说,其中一个预测违反 WST 的模型具有良好和最佳的拟合度,并且相对于包含模型来说,具有很强的贝叶斯支持。此外,对于约 20%的参与者来说,SAD 模型(与违反 WST 或 TI 一致)的拟合效果明显优于随机差异阈值模型,并具有更强的贝叶斯支持。最后,贝叶斯因子分析发现,对于大多数参与者来说,与违反 WST 或 TI 相一致的 SAD 模型得到了强有力的支持,这有力地证明了反转模型的存在。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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来源期刊
Psychological review
Psychological review 医学-心理学
CiteScore
9.70
自引率
5.60%
发文量
97
期刊介绍: Psychological Review publishes articles that make important theoretical contributions to any area of scientific psychology, including systematic evaluation of alternative theories.
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