Semantic Feature Production Norms for a Large Set of Living and Nonliving Things
Behavior Research Methods, Instruments, & Computers
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Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numer- ous theories and models in these areas are based on representations and computations involving seman- tic features. Consequently, empirically derived semantic feature production norms have played, and con- tinue 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 as- sociated 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.