Category norms with a cross-sectional sample of adults in the United States: Consideration of cohort, age, and historical effects on semantic categories.

Category norms with a cross-sectional sample of adults in the United States: Consideration of cohort, age, and historical effects on semantic categories.
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DOI:
10.3758/s13428-020-01454-9
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发表时间:
2021-04
影响因子:
5.4
通讯作者:
Hertzog C
Hertzog C
中科院分区:
心理学2区
文献类型:
--
作者:
Castro N;Curley T;Hertzog C

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本文介绍了规范性数据,新收集的范例反应70个语义类别在以前的规范化研究。这些类别被提交给246名年轻(18 - 39岁),中年(40 - 59岁)和老年人(60岁及以上)居住在美国的英语成年人,他们被要求为70个类别中的每一个产生尽可能多的类别范例。为了了解规范性反应的差异,我们分析了这些反应a)在当前样本中的年龄组之间,以及B)与之前发表的三套规范进行比较。使用这种规范的实验研究通常假设跨年龄和历史时间的规范可能性的不变性。我们复制以前的研究结果,例如,示例频率相关性表明,在许多,但不是所有的类别之间的年龄组和队列生成的类别成员的中等稳定性。此外,等级顺序相关性的分析突出表明,传统的典型性衡量标准可能无法捕捉到典型性的所有方面,即对于某些类别来说,不同年龄组和/或规范的样本频率具有很高的一致性,但这些样本的排序显着不同。我们包括一个聚类分析,以帮助分组类别的基础上跨时间,队列和年龄组的相对稳定性。这些结果强调了维持和更新年龄区分类别规范的重要性。
This paper describes normative data for newly collected exemplar responses to 70 semantic categories described in previous norming studies. These categories were presented to 246 Young (18 – 39 years), Middle (40 – 59 years), and Older (60 years and older) English-speaking adults living in the United States who were asked to generate as many category exemplars as possible for each of the 70 categories. In order to understand differences in normative responses, we analyzed these responses a) between age groups within the current sample and b) in comparison to three previously-published sets of norms. Experimental studies using such norms typically assume invariance of normative likelihoods across age and historical time. We replicate previous findings such that exemplar frequency correlations suggest moderate stability in generated category members between age groups and cohorts for many, but not all, categories. Further, analyses of rank order correlations highlight that the traditional measure of typicality may not capture all aspects of typicality, namely that for some categories there is high consistency in the frequency of exemplars across age groups and/or norms, but the ordering of those exemplars differs significantly. We include a cluster analysis to aid in grouping categories based on relative stability across time, cohort, and age groups. These results emphasize the importance of maintaining and updating age-differentiated category norms.
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