Evidence map›Paper›PMID 42505953›Full record

ArticleJournal of Intelligence2026

Cognitive-Mathematics Relations: A Meta-Analysis of Norm-Referenced Standardized Test Batteries.

Christopher R Niileksela, Daniel B Hajovsky, Francisco Philippe Cocar-Montenegro, William Joel Schneider, Dawn P Flanagan, Vincent C Alfonso

Abstract read
In one paragraph

Article in Journal of Intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Christopher R NiilekselaDepartment of Educational Psychology, University of Kansas, Lawrence, KS 66045, USA.ORCID 0000-0002-6785-1729
Daniel B HajovskyDepartment of Educational Psychology, Texas A&M University, College Station, TX 77845, USA.ORCID 0000-0002-2792-2289
Francisco Philippe Cocar-MontenegroDepartment of Educational Psychology, University of Kansas, Lawrence, KS 66045, USA.ORCID 0009-0007-6112-5180
William Joel SchneiderPsychological Studies in Education, Temple University, Philadelphia, PA 19122, USA.ORCID 0000-0002-8393-5316
Dawn P FlanaganDepartment of Psychology, St. John's University, New York City, NY 11439, USA.
Vincent C AlfonsoCollege for Education and Engaged Learning, Montclair State University, Montclair, NJ 07043, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationships between cognitive abilities and mathematics skills are important to examine to help clarify how cognitive abilities promote mathematics development and inform why some individuals have difficulty acquiring mathematics skills. Meta-analyses of cognitive-mathematics relations can help summarize this research across a wide variety of test batteries and samples. This study compiled data from technical manuals of 122 norm-referenced standardized test batteries and included over 47,000 correlations from over 550 correlation matrices to summarize cognitive-mathematics relations using meta-analysis. The meta-analytic correlations were used to estimate cognitive-mathematics relations in an integrated model of cognitive abilities and mathematics skills. Fluid reasoning and comprehension-knowledge were two of the most consistent cognitive predictors of mathematics skills, and foundational mathematics skills (e.g., number sense and math fluency) were consistent predictors of advanced mathematics skills (e.g., math problem solving). A supplemental analysis examined how several narrow cognitive abilities (e.g., lexical knowledge, induction) predict mathematics skills. Results suggested that some narrow cognitive abilities, like general knowledge and general sequential reasoning, were consistent predictors of mathematics skills. This study summarizes a large amount of data from norm-referenced standardized test batteries to clarify how cognitive abilities predict mathematics skills. These results can inform both theoretical models of mathematics development and practical strategies when evaluating individuals who may have difficulty acquiring mathematics skills.

Indexed as

CHC theorycognitive abilitiescognitive–achievement relationsmathematical skillsmeta-structural equation modeling

Identifiers

PMID42505953
PMCPMC13412798

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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.