Department of Psychology, Louisiana State University.
Department of Social and Decision Sciences, Carnegie Mellon University.
Psychol Rev. 2021 Oct;128(5):995-1005. doi: 10.1037/rev0000274.
Modeling competitions are a promising method for advancing psychological science. In this commentary to Erev et al. (Psychological Review, 2017, 124, p. 369), we highlight how this promise could be enhanced through modifying competition structures to produce insights more directly in line with the goals of promoting psychological knowledge. We argue that a single criterion on which models is compared limits the diversity of models entered into competitions, restricting the number and type of insights that can be gained consequently. We propose an alternative competition structure with multiple evaluative criteria and outline a quantitative selection method for choosing a winner. Our proposed competition structure has the advantages of (a) increasing the diversity of models entered, (b) incentivizing desirable qualities of models, (c) disambiguating competition winners, and (d) enhancing the impact and possible insights gained from competitions, all these while allowing flexibility for competition organizers to emphasize specific qualities of models. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
建模竞赛是推进心理科学发展的一种很有前途的方法。在对 Erev 等人的评论（《心理评论》，2017，124，第 369 页）中，我们强调了如何通过修改竞赛结构来增强这一承诺，从而更直接地产生与促进心理知识目标一致的见解。我们认为，对模型进行比较的单一标准限制了进入竞赛的模型的多样性，从而限制了随后可以获得的见解的数量和类型。我们提出了一种具有多个评估标准的替代竞赛结构，并概述了一种用于选择优胜者的定量选择方法。我们提出的竞赛结构具有以下优势：（a）增加了参赛模型的多样性；（b）激励模型的理想品质；（c）消除竞争优胜者的歧义；（d）提高竞赛的影响力和可能获得的见解，同时允许竞赛组织者灵活地强调模型的特定品质。（PsycInfo 数据库记录（c）2021 APA，保留所有权利）。
