Evidence map›Paper›PMID 34939167›Full record

ArticleMemory & cognition2022

Motivation-based selective encoding and retrieval.

Vered Halamish, Pnina Stern

Abstract read
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In one paragraph

Article in Memory & cognition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Serial and strategic memory processes in younger and older adults.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2025
    Article
  4. Article
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.

Vered HalamishSchool of Education, Bar-Ilan University, 5290002, Ramat-Gan, Israel. vered.halamish@biu.ac.il.ORCID 0000-0003-4746-7321
Pnina SternSchool of Education, Bar-Ilan University, 5290002, Ramat-Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rememberers are often motivated to remember certain pieces of information more than they are motivated to remember other pieces. The literature suggests that this motivation results in selective remembering of valuable information and that it yields selective processing of this valuable information during encoding. However, the question of whether or not motivation to remember also elicits selective processing during retrieval is relatively underexplored. To fill this gap, two experiments examined the effect of incentive-based motivation to remember target information on selective encoding and retrieval processes using a paradigm that allowed participants to self-regulate their learning and cued-recall testing under relatively naturalistic settings. The results revealed that motivation yielded selective remembering of the target information and selective processing during encoding (i.e., selective allocation of study time, selective restudy, and selective control over study order), consistent with prior findings. Importantly, the results also revealed that motivation yielded selective processing during retrieval, as rememberers allocated more time to test queries about target information that they were motivated to remember and tended to start the test with these queries. These findings suggest that motivation affects how rememberers answer a cued-recall memory test. More generally, the current research demonstrates that by manipulating motivation and investigating self-regulated learning and remembering, research can advance our understanding of the intricate relationship between motivation, memory, and metacognition.

Indexed as

MetacognitionMotivationCuesHumansLearningMental RecallMemoryMetacognitionMotivationRetrievalSelectivity

Identifiers

What OpenQuestion holds

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Registered trials

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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.