Evidence map›Paper›PMID 40625043›Full record

ArticleJournal of Korean medical science2025

IQ, an Uninvited Guest in the Field of Learning?: Correlation Study of Comprehensive Learning Test.

Min-Chan Cha, Tae-Hyeong Kim, Hyun Jung Kim, Kyung Mook Choi, Min-Hyeon Park

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Min-Chan ChaDepartment of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0009-0003-6086-9162
Tae-Hyeong KimDepartment of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-0208-8264
Hyun Jung KimDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0009-0007-1683-8202
Kyung Mook ChoiDepartment of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2217-782X
Min-Hyeon ParkDepartment of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. neominnie00@hanmail.net.ORCID https://orcid.org/0000-0002-1731-1388

Funding

Korea Health Industry Development Institute RS-2023-00266131
6 · The paper itself

Abstract

backgroundThough substantial studies have revealed various factors contributing to learning reading and mathematics independent of intelligence, the relationship between learning and intelligence is multifaceted. The current study aimed to explore the correlation between intelligence and learning in reading and math, considering both general intelligence (Full-Scale Intelligence Quotient [FSIQ]) and specific domains of the Wechsler intelligence test to identify which aspects contribute to different learning areas.

methodsA retrospective chart review was conducted on outpatients between the ages of 6 and 17 (N = 100), who were assessed using the Wechsler intelligence test and the Comprehensive Learning Test for reading and mathematics (CLT-R: Reading, CLT-M: Mathematic). A Pearson correlation analysis examined the relationships between FSIQ, indices (verbal comprehensive index [VCI], perceptual reasoning index [PRI], working memory index [WMI], processing speed index [PSI]), and CLT subtests in the full sample of 100 participants and the subset with an FSIQ of 70 or higher.

resultsThe correlation analysis revealed that most CLT-R and CLT-M subtests had statistically significant positive correlations with FSIQ in both the full sample and the subset. For CLT-M and indices, VCI and PRI showed significant correlations with several CLT-M subtests in the full sample, but most were no longer significant in the subset with an FSIQ of 70 or higher. WMI and PSI maintained correlations with speed, but not accuracy, in computation, comparison, and enumeration for the subset. As for CLT-R, several CLT-R subtests correlated positively with both the WMI and VCI indices in both groups.

conclusionThe current study showed that most subtests in both reading and math exhibited significant positive correlations with general intelligence (FSIQ), whereas specific indices of intelligence (VCI, PRI, WMI, PSI) varied in their correlation with different subtests. These findings challenge the prevailing notion of excluding intelligence from studies of learning and underscore the necessity for future research to adopt more index- and element-specific approaches when investigating the relationship between learning and intelligence.

Indexed as

IntelligenceLearningAdolescentChildFemaleHumansIntelligence TestsMaleMathematicsMemory, Short-TermReadingRetrospective StudiesWechsler ScalesCorrelationIntelligenceIntelligence QuotientLearningMathematicReading

Identifiers

PMID40625043
PMCPMC12235193

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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.