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51 properties of 125 words: A unit analysis of verbal behavior

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Date
1980-01-01
Author
Rubin, DC
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Abstract
Values for 125 words were obtained for 51 scales including measures of orthography, pronunciation, imagery, categorizability, association, number of attributes, age-of-acquisition, word frequency, goodness, emotionality, autobiographical memory, tachistoscopic recognition, reading latency, lexical decision, incidental and intentional recall, recall using a mnemonic pathway, paired-associate learning, and recognition. Six factors emerged: Spelling and Sound, Imagery and Meaning, Word Frequency, Recall, Emotionality, and Goodness. Implications for current methodology and theory are discussed, including the claims: that multivariate research is a necessary addition to the study of verbal behavior; that a unidimensional concept such as depth does not do justice to the complexity of recall; and that associative frequency, emotionality, and pronunciability are among the best predictors of our commonly used tasks. © 1980 Academic Press, Inc.
Type
Journal article
Subject
Social Sciences
Psychology, Educational
Language & Linguistics
Psychology
Psychology, Experimental
Linguistics
Permalink
https://hdl.handle.net/10161/18982
Published Version (Please cite this version)
10.1016/S0022-5371(80)90415-6
Publication Info
Rubin, DC (1980). 51 properties of 125 words: A unit analysis of verbal behavior. Journal of Verbal Learning and Verbal Behavior, 19(6). pp. 736-755. 10.1016/S0022-5371(80)90415-6. Retrieved from https://hdl.handle.net/10161/18982.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Rubin

David C. Rubin

Juanita M. Kreps Distinguished Professor of Psychology and Neuroscience
  For .pdfs of all publications click here  My main research interest has been in long-term memory, especially for complex (or "real-world") stimuli. This work includes the study of autobiographical memory and oral tra
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