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 researchers into feature ty...

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Veröffentlicht in:	Behavior research methods Jg. 49; H. 6; S. 1984 - 2001
Hauptverfasser:	Bolognesi, Marianna, Pilgram, Roosmaryn, van den Heerik, Romy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2017 Springer Nature B.V
Schlagworte:	Behavioral Science and Psychology Classification Cognitive ability Cognitive Psychology Content analysis Humans Methodological problems Norms Perceptions Psycholinguistics - methods Psycholinguistics - standards Psychology Qualitative Research Reliability Reproducibility of Results Research methodology Semantic analysis Semantic features Semantics Stimulus Sustainability Taxonomy Intercoder reliability Semantic feature norms Content analysis
ISSN:	1554-3528, 1554-3528
Online-Zugang:	Volltext
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