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Time does not cause forgetting in short-term serial recall

Overview of attention for article published in Psychonomic Bulletin & Review, October 2004
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Title
Time does not cause forgetting in short-term serial recall
Published in
Psychonomic Bulletin & Review, October 2004
DOI 10.3758/bf03196705
Pubmed ID
Authors

Stephan Lewandowsky, Matthew Duncan, Gordon D. A. Brown

Abstract

Time-based theories expect memory performance to decline as the delay between study and recall of an item increases. The assumption of time-based forgetting, central to many models of serial recall, underpins their key behaviors. Here we compare the predictions of time-based and event-based models by simulation and test them in two experiments using a novel manipulation of the delay between study and retrieval. Participants were trained, via corrective feedback, to recall at different speeds, thus varying total recall time from 6 to 10 sec. In the first experiment, participants used the keyboard to enter their responses but had to repeat a word (called the suppressor) aloud during recall to prevent rehearsal. In the second experiment, articulation was again required, but recall was verbal and was paced by the number of repetitions of the suppressor in between retrieval of items. In both experiments, serial position curves for all retrieval speeds overlapped, and output time had little or no effect. Comparative evaluation of a time-based and an event-based model confirmed that these results present a particular challenge to time-based approaches. We conclude that output interference, rather than output time, is critical in serial recall.

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The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
Canada 2 2%
Australia 1 <1%
Unknown 107 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 20%
Researcher 18 16%
Student > Master 17 15%
Professor 11 10%
Professor > Associate Professor 9 8%
Other 24 21%
Unknown 13 11%
Readers by discipline Count As %
Psychology 67 58%
Linguistics 6 5%
Neuroscience 4 3%
Agricultural and Biological Sciences 3 3%
Computer Science 3 3%
Other 11 10%
Unknown 21 18%