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Modeling item length effects in memory span : no rehearsal needed?

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Brown, G. D. A. (Gordon D. A.) and Hulme, Charles. (1995) Modeling item length effects in memory span : no rehearsal needed? Journal of Memory and Language, Vol.34 (No.5). pp. 594-621. ISSN 0749-596X

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Official URL: http://dx.doi.org/10.1006/jmla.1995.1027

Abstract

It is widely assumed that word length effects on memory span reflect the operation of subvocal rehearsal, and that span will be the amount of material that can be rehearsed in a fixed time interval. However recent data question both these conclusions. Furthermore, the relevant models are often under-specified and it is not always clear what item length effects they predict. We report an implementation of a simple trace decay memory, without a rehearsal process. The model exhibits item length effects due to opposing effects of decay and redintegration, and lexicality effects that occur only during redintegration. Further simulations demonstrate that item length effects can also be obtained when forgetting is due to interference or imperfect trace registration instead of trace decay. It is concluded that many of the data that have hitherto been taken as evidence for subvocal rehearsal can be explained in terms of simple models without rehearsal. (C) 1995 Academic Press, Inc.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
P Language and Literature > P Philology. Linguistics
Divisions: Faculty of Science > Psychology
Library of Congress Subject Headings (LCSH): Memory -- Mathematical models, Psycholinguistics
Journal or Publication Title: Journal of Memory and Language
Publisher: Academic Press Inc Elsevier Science
ISSN: 0749-596X
Date: October 1995
Volume: Vol.34
Number: No.5
Number of Pages: 28
Page Range: pp. 594-621
Identification Number: 10.1006/jmla.1995.1027
Status: Peer Reviewed
Publication Status: Published
Funder: Economic and Social Research Council (Great Britain) (ESRC)
URI: http://wrap.warwick.ac.uk/id/eprint/19425

Data sourced from Thomson Reuters' Web of Knowledge

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