Murray Kyle B, Brown Norman R
University of Alberta, Edmonton, AB, Canada.
Acta Psychol (Amst). 2009 Jul;131(3):221-34. doi: 10.1016/j.actpsy.2009.05.007. Epub 2009 Jun 26.
Prior research has identified two modes of quantitative estimation: numerical retrieval and ordinal conversion. In this paper we introduce a third mode, which operates by a feature-based inference process. In contrast to prior research, the results of three experiments demonstrate that people estimate automobile prices by combining metric information associated with two critical features: product class and brand status. In addition, Experiments 2 and 3 demonstrated that when participants are seeded with the actual current base price of one of the to-be-estimated vehicles, they respond by revising the general metric and splitting the information carried by the seed between the two critical features. As a result, the degree of post-seeding revision is directly related to the number of these features that the seed and the transfer items have in common. The paper concludes with a general discussion of the practical and theoretical implications of our findings.
数值检索和序数转换。在本文中，我们引入了第三种模式，它通过基于特征的推理过程进行操作。与先前的研究不同，三项实验的结果表明，人们通过结合与两个关键特征相关的度量信息来估计汽车价格：产品类别和品牌地位。此外，实验2和实验3表明，当向参与者提供其中一辆待估计车辆的实际当前基准价格时，他们会通过修改一般度量并在两个关键特征之间分配由该基准价格所承载的信息来做出反应。因此，基准价格设定后的修正程度与基准价格和转移项目所共有的这些特征的数量直接相关。本文最后对我们研究结果的实际和理论意义进行了全面讨论。
