Evidence map›Paper›PMID 38064118›Full record

ArticleCognitive processing2024

The structure correspondence hypothesis predicts how word and sentence in language correlate with term and principle in mathematics.

Jiaxin Cui, Liting Lv, Fan Yang, Lelei Wang, Jiarui Li, Zhanling Cui, Xinlin Zhou

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Article in Cognitive processing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 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.

Jiaxin CuiCollege of Education, Hebei Normal University, 20 Nanerhuandong Road, Shijiazhuang, 050024, China.
Liting LvCollege of Education, Hebei Normal University, 20 Nanerhuandong Road, Shijiazhuang, 050024, China.
Fan YangCollege of Education Science, Anhui Normal University, Wuhu, China.
Lelei WangCollege of Education, Hebei Normal University, 20 Nanerhuandong Road, Shijiazhuang, 050024, China.
Jiarui LiCollege of Education, Hebei Normal University, 20 Nanerhuandong Road, Shijiazhuang, 050024, China.
Zhanling CuiCollege of Education, Hebei Normal University, 20 Nanerhuandong Road, Shijiazhuang, 050024, China. myselfczl@163.com.ORCID http://orcid.org/0000-0003-1851-167X
Xinlin ZhouState Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing, 100875, China. zhou_xinlin@bnu.edu.cn.ORCID http://orcid.org/0000-0002-3530-0922

Funding

111 Project BP0719032Natural Science Foundation of China 62277015Science and Technology Project of Hebei Education Department ZD2020158
6 · The paper itself

Abstract

The association between language and mathematics is an important debated topic. Here, we proposed a structure correspondence hypothesis to explain under what conditions language and mathematics are closely related. According to the hypothesis, there would be an association when they have equivalent structure. One hundred and fifty high school students were recruited to finish mathematical and language tests at the element level (i.e., geometric term processing and word analogy) and at the low-dimensional combination level (i.e., geometric principle processing and sentence completion) as well as the tests to measure cognitive covariates (general intelligence and spatial processing). After controlling for age, gender and cognitive covariates, geometric term processing and word analogy were closely correlated, and geometric principle processing and sentence completion were significantly correlated. No other correlations were found. The results support the structure correspondence hypothesis and provide a new perspective of structure of language and verbalized mathematics for the relation between language and mathematics.

Indexed as

LanguageMathematicsAdolescentFemaleHumansIntelligenceMaleLanguage processingMathematics processingSemantic processingStructure correspondence hypothesisVerbalized geometry

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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.