Evidence map›Paper›PMID 31162435›Full record

ArticleJournal of Intelligence2018

Variability in the Precision of Children's Spatial Working Memory.

Elena M Galeano Weber, Judith Dirk, Florian Schmiedek

Abstract read
In one paragraph

Article in Journal of Intelligence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

3 authors.

Elena M Galeano WeberGerman Institute for International Educational Research (DIPF), Frankfurt am Main, Frankfurt 60486, Germany. elena.galeano-weber@dipf.de.
Judith DirkGerman Institute for International Educational Research (DIPF), Frankfurt am Main, Frankfurt 60486, Germany. schmiedek@dipf.de.ORCID 0000-0001-7298-5468
Florian SchmiedekGerman Institute for International Educational Research (DIPF), Frankfurt am Main, Frankfurt 60486, Germany. dirk@dipf.de.ORCID 0000-0001-7298-5468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive modeling studies in adults have established that visual working memory (WM) capacity depends on the representational precision, as well as its variability from moment to moment. By contrast, visuospatial WM performance in children has been typically indexed by response accuracy-a binary measure that provides less information about precision with which items are stored. Here, we aimed at identifying whether and how children's WM performance depends on the spatial precision and its variability over time in real-world contexts. Using smartphones, 110 Grade 3 and Grade 4 students performed a spatial WM updating task three times a day in school and at home for four weeks. Measures of spatial precision (i.e., Euclidean distance between presented and reported location) were used for hierarchical modeling to estimate variability of spatial precision across different time scales. Results demonstrated considerable within-person variability in spatial precision across items within trials, from trial to trial and from occasion to occasion within days and from day to day. In particular, item-to-item variability was systematically increased with memory load and lowered with higher grade. Further, children with higher precision variability across items scored lower in measures of fluid intelligence. These findings emphasize the important role of transient changes in spatial precision for the development of WM.

Indexed as

ambulatory assessmentcognitive developmenthierarchical modelingintra-individual variabilitymicro-longitudinal designspatial precisionworking memory updating

Identifiers

PMID31162435
PMCPMC6480713

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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.