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Cited by 914

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

A Meta-Analysis of the Relationship between Anxiety toward Mathematics and Achievement in Mathematics

Ma, Xin·1999·Journal for Research in Mathematics Education

Abstract

In this meta-analysis I examined 26 studies on the relationship between anxiety toward mathematics and achievement in mathematics among elementary and secondary students. The common population correlation for the relationship is significant (-.27). A series of general linear models indicated that the relationship is consistent across gender groups, grade-level groups, ethnic groups, instruments measuring anxiety, and years of publication. The relationship, however, differs significantly among instruments measuring achievement as well as among types of publication. Researchers using standardized achievement tests tend to report a relationship of significantly smaller magnitude than researchers using mathematics teachers' grades and researcher-made achievement tests. Published studies tend to indicate a significantly smaller magnitude of the relationship than unpublished studies. There are no significant interaction effects among key variables such as gender, grade, and ethnicity.

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Metadata

Authors
Ma, X.
Venue
Journal for Research in Mathematics Education
Published
1999-11
Volume
30
Issue
5
Pages
520
ISSN
0021-8251 (ISSN-L)
OpenAlex
W2013451963
Cited by
914
References
58
FWCI
2.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Meta-Analysis of the Relationship between Anxiety toward Mathematics and Achievement in Mathematics. https://app.cochat.ai/papers/10.2307/749772
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Ma, X. (1999). A Meta-Analysis of the Relationship between Anxiety toward Mathematics and Achievement in Mathematics. Journal for Research in Mathematics Education. https://doi.org/10.2307/749772

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.