ISPA - Instituto Universitário; William James Center for Research, Rua Jardim do Tabaco, 34, 1149-041, Lisboa, Portugal.
Behav Res Methods. 2023 Sep;55(6):3297-3311. doi: 10.3758/s13428-022-01970-w. Epub 2022 Sep 15.
In the present work, we present normative data for a set of 39 original clipart-style images that can be used as material in studies involving judgements of proportion. The original images are drawings that depict different day-to-day scenarios (e.g., lighted windows in a building; books on a shelf) and each has seven variants of different proportions (from 20% to 80%) belonging to different categories (discrete vs continuous; social vs non-social; natural vs artificial; stimuli physical dimensions; number of referents). Normative data for these images are presented in an interactive database (available at https://judgment-images-and-norms.shinyapps.io/estimates_interactive/ ), corresponding to the means of proportion estimates (in percentage form), the perceived ease of making such estimates, the perceived level of familiarity and liking for each image, and the relationships between these variables. In the paper, we analyse the data at an individual level, addressing how the latter judgements are related to the proportion estimates, how those estimates are related to objective proportions, and how these relationships are moderated by image category. The analyses presented in this paper aim to aid readers in selecting images that enable them to better address specific influences on proportional estimates or to control for those influences in their studies.
在本工作中，我们提供了一组 39 个原始剪贴画风格图像的规范数据，这些图像可作为涉及比例判断的研究中的材料。原始图像是描绘不同日常场景的图画（例如，建筑物中的灯光窗户；书架上的书），每个图像都有七个不同比例（20% 到 80%）的变体，属于不同类别（离散与连续；社会与非社会；自然与人工；刺激物理尺寸；参考对象数量）。这些图像的规范数据以交互数据库的形式呈现（可在 https://judgment-images-and-norms.shinyapps.io/estimates_interactive/ 上获得），对应于比例估计的平均值（以百分比形式）、对进行此类估计的难易程度的感知、对每个图像的熟悉度和喜好程度的感知，以及这些变量之间的关系。在本文中，我们在个体水平上分析数据，探讨这些判断如何与比例估计相关，这些估计如何与客观比例相关，以及这些关系如何受到图像类别的调节。本文介绍的分析旨在帮助读者选择能够更好地解决比例估计特定影响的图像，或在研究中控制这些影响。
