کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
920450 920289 2009 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A feature-based inference model of numerical estimation: The split-seed effect
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
A feature-based inference model of numerical estimation: The split-seed effect
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Acta Psychologica - Volume 131, Issue 3, July 2009, Pages 221–234
نویسندگان
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