Department of Psychological and Brain Sciences, Indiana University, 1101. E. Tenth Street, Bloomington, IN, 47405, USA.
Department of Geological Sciences, Indiana University, Bloomington, IN, USA.
Behav Res Methods. 2018 Apr;50(2):530-556. doi: 10.3758/s13428-017-0884-8.
This article reports data sets aimed at the development of a detailed feature-space representation for a complex natural category domain, namely 30 common subtypes of the categories of igneous, metamorphic, and sedimentary rocks. We conducted web searches to develop a library of 12 tokens each of the 30 subtypes, for a total of 360 rock pictures. In one study, subjects provided ratings along a set of 18 hypothesized primary dimensions involving visual characteristics of the rocks. In other studies, subjects provided similarity judgments among pairs of the rock tokens. Analyses are reported to validate the regularity and information value of the dimension ratings. In addition, analyses are reported that derive psychological scaling solutions from the similarity-ratings data and that interrelate the derived dimensions of the scaling solutions with the directly rated dimensions of the rocks. The stimulus set and various forms of ratings data, as well as the psychological scaling solutions, are made available on an online website (https://osf.io/w64fv/) associated with the article. The study provides a fundamental data set that should be of value for a wide variety of research purposes, including: (1) probing the statistical and psychological structure of a complex natural category domain, (2) testing models of similarity judgment, and (3) developing a feature-space representation that can be used in combination with formal models of category learning to predict classification performance in this complex natural category domain.
本文报告了一组数据集，旨在为一个复杂的自然类别领域（即火成岩、变质岩和沉积岩的 30 种常见亚型）开发详细的特征空间表示。我们进行了网络搜索，开发了一个包含 30 种岩石亚型各 12 个样本的库，共计 360 张岩石图片。在一项研究中，受试者根据一组涉及岩石视觉特征的 18 个假设的主要维度对样本进行了评分。在其他研究中，受试者对岩石样本对进行了相似性判断。报告的分析验证了维度评分的规律性和信息价值。此外，还报告了从相似性评分数据中得出心理标度解，并将标度解的导出维度与岩石的直接评分维度相关联的分析。刺激集和各种形式的评分数据以及心理标度解可在与文章相关联的在线网站（https://osf.io/w64fv/）上获得。该研究提供了一个基本数据集，对于各种研究目的都具有重要价值，包括：（1）探究复杂自然类别领域的统计和心理结构，（2）检验相似性判断模型，以及（3）开发特征空间表示，可与类别学习的正式模型结合使用，以预测在这个复杂自然类别领域中的分类性能。
