Evidence map›Paper›PMID 36810988›Full record

ArticlePsychology in Russia : state of the art2021

Measuring Spatial Ability for Talent Identification, Educational Assessment, and Support: Evidence from Adolescents with High Achievement in Science, Arts, and Sports.

Anna V Budakova, Maxim V Likhanov, Teemu Toivainen, Alexey V Zhurbitskiy, Elina O Sitnikova, Elizaveta M Bezrukova, Yulia Kovas

Abstract read
In one paragraph

Article in Psychology in Russia : state of the art, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

7 authors.

Anna V BudakovaInternational Center for Research in Human Development, Tomsk State University, Tomsk, Russia.
Maxim V LikhanovSirius University of Science and Technology, Sochi, Russia.
Teemu ToivainenDepartment of Psychology, Goldsmiths, University of London, London, UK.
Alexey V ZhurbitskiySirius University of Science and Technology, Sochi, Russia.
Elina O SitnikovaSirius University of Science and Technology, Sochi, Russia.
Elizaveta M BezrukovaInternational Center for Research in Human Development, Tomsk State University, Tomsk, Russia.
Yulia KovasInternational Center for Research in Human Development, Tomsk State University, Tomsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spatial ability (SA) is a robust predictor of academic and occupational achievement. The present study investigated the psychometric properties of 10 tests for measuring of SA in a sample of talented schoolchildren. Objective: Our purpose was to identify the most suitable measurements for SA for the purpose of talent identification, educational assessment, and support. Design: Our sample consisted of 1479 schoolchildren who had demonstrated high achievement in Science, Arts, or Sports. Several criteria were applied to evaluate the measurements, including an absence of floor and ceiling effects, low redundancy, high reliability, and external validity. Results: Based on these criteria, we included the following four tests in an Online Short Spatial Ability Battery "OSSAB": Pattern Assembly; Mechanical Reasoning; Paper Folding; and Shape Rotation. Further analysis found differences in spatial ability across the three groups of gifted adolescents. The Science track showed the highest results in all four tests. Conclusion: Overall, the study suggested that the

Indexed as

educationeducational streamingfactor analysisgifted childreninvestment of effortreliabilityspatial ability

Identifiers

PMID36810988
PMCPMC9939039

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.