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A dual memory theory of the testing effect

Overview of attention for article published in Psychonomic Bulletin & Review, June 2017
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Title
A dual memory theory of the testing effect
Published in
Psychonomic Bulletin & Review, June 2017
DOI 10.3758/s13423-017-1298-4
Pubmed ID
Authors

Timothy C. Rickard, Steven C. Pan

Abstract

A new theoretical framework for the testing effect-the finding that retrieval practice is usually more effective for learning than are other strategies-is proposed, the empirically supported tenet of which is that separate memories form as a consequence of study and test events. A simplest case quantitative model is derived from that framework for the case of cued recall. With no free parameters, that model predicts both proportion correct in the test condition and the magnitude of the testing effect across 10 experiments conducted in our laboratory, experiments that varied with respect to material type, retention interval, and performance in the restudy condition. The model also provides the first quantitative accounts of (a) the testing effect as a function of performance in the restudy condition, (b) the upper bound magnitude of the testing effect, (c) the effect of correct answer feedback, (d) the testing effect as a function of retention interval for the cases of feedback and no feedback, and (e) the effect of prior learning method on subsequent learning through testing. Candidate accounts of several other core phenomena in the literature, including test-potentiated learning, recognition versus cued recall training effects, cued versus free recall final test effects, and other select transfer effects, are also proposed. Future prospects and relations to other theories are discussed.

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The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Student > Bachelor 11 10%
Researcher 10 9%
Student > Master 9 8%
Student > Doctoral Student 6 5%
Other 21 19%
Unknown 38 34%
Readers by discipline Count As %
Psychology 40 36%
Neuroscience 4 4%
Medicine and Dentistry 4 4%
Social Sciences 3 3%
Unspecified 3 3%
Other 13 12%
Unknown 44 40%