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Explanation can cause Forgetting: Memory Dynamics in the Generation of New Arguments

Overview of attention for article published in Psychonomic Bulletin & Review, April 2017
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Title
Explanation can cause Forgetting: Memory Dynamics in the Generation of New Arguments
Published in
Psychonomic Bulletin & Review, April 2017
DOI 10.3758/s13423-017-1283-y
Pubmed ID
Authors

Julia S. Soares, Benjamin C. Storm

Abstract

Retrieval-induced forgetting is observed when the retrieval of target information causes the forgetting of nontarget information. The present study investigated whether similar dynamics occur in the context of generating arguments in the process of explanation. Participants studied arguments associated with several issues before attempting to think of new arguments pertaining to a subset of those issues. When given a later memory test, participants were less likely to recall the studied arguments if they had attempted to think of new arguments than if they had not. This argument-induced forgetting effect was observed regardless of whether participants attempted to generate arguments that either agreed or disagreed with the position of the arguments they studied. The effect was significantly reduced, however, and even numerically reversed, when participants generated arguments that were highly related to the studied arguments. This finding fits well with previous research on retrieval-induced forgetting, which has shown that the retrieval or generation of new information fails to cause the forgetting of old information when the two types of information are well integrated or semantically associated.

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The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Other 2 11%
Student > Bachelor 2 11%
Student > Master 2 11%
Researcher 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Psychology 9 50%
Neuroscience 2 11%
Computer Science 1 6%
Economics, Econometrics and Finance 1 6%
Philosophy 1 6%
Other 0 0%
Unknown 4 22%