1. The Calgary semantic decision project: concrete/abstract decision data for 10,000 English words
- Author
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Ellen Lloyd, Penny M. Pexman, Alison Heard, and Melvin J. Yap
- Subjects
Adult ,Male ,Adolescent ,Databases, Factual ,Computer science ,Decision Making ,Experimental and Cognitive Psychology ,Concreteness ,Semantics ,computer.software_genre ,Lexicon ,050105 experimental psychology ,Psycholinguistics ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Arts and Humanities (miscellaneous) ,Reaction Time ,Developmental and Educational Psychology ,Lexical decision task ,Humans ,Semantic memory ,0501 psychology and cognitive sciences ,General Psychology ,Aged ,business.industry ,05 social sciences ,Semantic property ,Middle Aged ,Reference Standards ,Linguistics ,Word recognition ,Female ,Psychology (miscellaneous) ,Artificial intelligence ,business ,computer ,030217 neurology & neurosurgery ,Natural language processing - Abstract
Psycholinguistic research has been advanced by the development of word recognition megastudies. For instance, the English Lexicon Project (Balota et al., 2007) provides researchers with access to naming and lexical-decision latencies for over 40,000 words. In the present work, we extended the megastudy approach to a task that emphasizes semantic processing. Using a concrete/abstract semantic decision (i.e., does the word refer to something concrete or abstract?), we collected decision latencies and accuracy rates for 10,000 English words. The stimuli were concrete and abstract words selected from Brysbaert, Warriner, and Kuperman's (2013) comprehensive list of concreteness ratings. In total, 321 participants provided responses to 1,000 words each. Whereas semantic effects tend to be quite modest in naming and lexical decision studies, analyses of the concrete/abstract semantic decision responses show that a substantial proportion of variance can be explained by semantic variables. The item-level and trial-level data will be useful for other researchers interested in the semantic processing of concrete and abstract words.
- Published
- 2016
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