McRae Ken, Cree George S, Seidenberg Mark S, McNorgan Chris
University of Western Ontario, London, Ontario, Canada.
Behav Res Methods. 2005 Nov;37(4):547-59. doi: 10.3758/bf03192726.
Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numerous theories and models in these areas are based on representations and computations involving semantic features. Consequently, empirically derived semantic feature production norms have played, and continue to play, a highly useful role in these domains. This article describes a set of feature norms collected from approximately 725 participants for 541 living (dog) and nonliving (chair) basic-level concepts, the largest such set of norms developed to date. This article describes the norms and numerous statistics associated with them. Our aim is to make these norms available to facilitate other research, while obviating the need to repeat the labor-intensive methods involved in collecting and analyzing such norms. The full set of norms may be downloaded from www.psychonomic.org/archive.
语义特征为研究成年人、儿童和神经心理学群体中与概念、分类及语义记忆相关的众多行为现象提供了见解。这些领域的众多理论和模型都基于涉及语义特征的表征和计算。因此，通过实证得出的语义特征生成规范在这些领域一直发挥着且将继续发挥非常有用的作用。本文描述了一组从大约725名参与者那里收集到的针对541个有生命（狗）和无生命（椅子）基本层次概念的特征规范，这是迄今为止所开发的最大的此类规范集。本文描述了这些规范以及与之相关的众多统计数据。我们的目的是提供这些规范以方便其他研究，同时避免重复收集和分析此类规范所涉及的劳动密集型方法。整套规范可从www.psychonomic.org/archive下载。
