von Helversen Bettina, Rieskamp Jörg
Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany.
J Exp Psychol Gen. 2008 Feb;137(1):73-96. doi: 10.1037/0096-3445.137.1.73.
How do people make quantitative estimations, such as estimating a car's selling price? Traditionally, linear-regression-type models have been used to answer this question. These models assume that people weight and integrate all information available to estimate a criterion. The authors propose an alternative cognitive theory for quantitative estimation. The mapping model, inspired by the work of N. R. Brown and R. S. Siegler (1993) on metrics and mappings, offers a heuristic approach to decision making. The authors test this model against established alternative models of estimation, namely, linear regression, an exemplar model, and a simple estimation heuristic. With 4 experimental studies the authors compare the models under different environmental conditions. The mapping model proves to be a valid model to predict people's estimates.
人们如何进行定量估计,比如估计一辆汽车的售价?传统上,线性回归类型的模型被用于回答这个问题。这些模型假定人们权衡并整合所有可得信息来估计一个标准。作者们提出了一种用于定量估计的替代性认知理论。受N. R. 布朗和R. S. 西格勒(1993年)关于度量和映射的研究启发而产生的映射模型,提供了一种决策启发式方法。作者们将此模型与既定的其他估计模型,即线性回归、范例模型和一种简单估计启发式方法进行了测试比较。通过4项实验研究,作者们在不同环境条件下对这些模型进行了比较。结果证明,映射模型是预测人们估计值的有效模型。