Reliability in content analysis: The case of semantic feature norms classification

Reliability in content analysis: The case of semantic feature norms classification

Semantic feature norms (e.g., STIMULUS: car → RESPONSE: <has four="" wheels="">) are commonly used in cognitive psychology to look into salient aspects of given concepts. Semantic features are typically collected in experimental settings and then manually annotated by the r...

書目詳細資料
Main Authors:	Bolognesi, M, Pilgram, R, van den Heerik, R
格式:	Journal article
語言:	English
出版:	Springer US 2016

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