Evidence map›Paper›PMID 31073790›Full record

SynthesisMemory & cognition2019

The effect of working memory maintenance on long-term memory.

Joshua K Hartshorne, Tal Makovski

Abstract readMeta-Analysis
In one paragraph

Synthesis in Memory & cognition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Joshua K HartshorneDepartment of Psychology, Harvard University, Cambridge, MA, USA. hartshoj@bc.edu.
Tal MakovskiDepartment of Psychology, Harvard University, Cambridge, MA, USA.

Funding

Computational models of the acquisition of verb meaning,F32HD072748 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HARTSHORNE, JOSHUA K · 2012 to 2014
$150k
NICHD NIH HHS F32 HD072748
6 · The paper itself

Abstract

Initially inspired by the Atkinson and Shiffrin model, researchers have spent a half century investigating whether actively maintaining an item in working memory (WM) leads to improved subsequent long-term memory (LTM). Empirical results have been inconsistent, and thus the answer to the question remains unclear. We present evidence from 13 new experiments as well as a meta-analysis of 61 published experiments. Both the new experiments and meta-analysis show clear evidence that increased WM maintenance of a stimulus leads to superior recognition for that stimulus in subsequent LTM tests. This effect appears robust across a variety of experimental design parameters, suggesting that the variability in prior results in the literature is probably due to low power and random chance. The results support theories on which there is a close link between WM and LTM mechanisms, while challenging claims that this relationship is specific to verbal memory and evolved to support language acquisition.

Indexed as

AdultHumansMemory, Long-TermMemory, Short-TermRecognition, PsychologyChange detectionIncidental memoryLanguage acquisitionLong-term memoryVerbal working memoryVisual working memory

Identifiers

PMID31073790
PMCPMC6663308

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.