Language and Mathematics Performance: A Systematic Umbrella Review and Meta-Meta-Analysis

With the aim of determining the relationship between language and mathematics performance using a more general approach, this study examines the findings of primary meta-analyses using the meta-meta-analysis method. To achieve this, the study synthesized 12 independent primary meta-analyses representing an aggregated sample of more than 3.6 million participants. Because some primary studies overlapped across reviews, this figure reflects the cumulative rather than the unique number of participants. The results suggest a positive, moderate, and statistically significant relationship between language and mathematics performance (ES = 0.51, z = 19.20, p < .001). To explain the heterogeneity identified among the studies, the study further conducted moderator analysis on various categorical and continuous variables. The findings show that meta-analyses that focus on a specific language skill have larger effect sizes than studies that deal with language in general. The study also determined that the effect sizes differed statistically significantly across the language subgroups. A striking finding is that the relationship of reading, listening, writing, and vocabulary skills with mathematics performance is stronger than that of phonological processing skills. In conclusion, the study highlights the need to redesign mathematics instruction holistically, incorporating practices such as reading/listening comprehension, vocabulary development, and the effective use of mathematical language.

Authors

Institutions

Publication Details

Journal
Journal of Intelligence
Published
2026-07-23
DOI
https://doi.org/10.3390/jintelligence14080152
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Language and Mathematics Performance: A Systematic Umbrella Review and Meta-Meta-Analysis

Mehmet Ertürk Geçici, Metin Kaya, Fidan Geçici
Journal of Intelligence
Cognitive and developmental aspects of mathematical skills
article

Language and Mathematics Performance: A Systematic Umbrella Review and Meta-Meta-Analysis

Mehmet Ertürk Geçici, Metin Kaya, Fidan Geçici
article en

Abstract

With the aim of determining the relationship between language and mathematics performance using a more general approach, this study examines the findings of primary meta-analyses using the meta-meta-analysis method. To achieve this, the study synthesized 12 independent primary meta-analyses representing an aggregated sample of more than 3.6 million participants. Because some primary studies overlapped across reviews, this figure reflects the cumulative rather than the unique number of participants. The results suggest a positive, moderate, and statistically significant relationship between language and mathematics performance (ES = 0.51, z = 19.20, p < .001). To explain the heterogeneity identified among the studies, the study further conducted moderator analysis on various categorical and continuous variables. The findings show that meta-analyses that focus on a specific language skill have larger effect sizes than studies that deal with language in general. The study also determined that the effect sizes differed statistically significantly across the language subgroups. A striking finding is that the relationship of reading, listening, writing, and vocabulary skills with mathematics performance is stronger than that of phonological processing skills. In conclusion, the study highlights the need to redesign mathematics instruction holistically, incorporating practices such as reading/listening comprehension, vocabulary development, and the effective use of mathematical language.

Journal of IntelligenceVol. 14(8)
Istanbul Medipol University (TR), Afyon Kocatepe University (TR)
Quality Education
Openalex Percentile: Top 7%
Cognitive and developmental aspects of mathematical skills
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.