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Cited by 454

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

The causal ordering of mathematics anxiety and mathematics achievement: a longitudinal panel analysis

Ma, X, Xu, Jiangming·2004·Journal of Adolescence
DOI 10.1016/j.adolescence.2003.11.003
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Abstract

Using data from the Longitudinal Study of American Youth (LSAY), we aimed to determine the causal ordering between mathematics anxiety and mathematics achievement. Results of structural equation modelling showed that, across the entire junior and senior high school, prior low mathematics achievement significantly related to later high mathematics anxiety, but prior high mathematics anxiety hardly related to later low mathematics achievement. Mathematics achievement was more reliably stable from year to year than mathematics anxiety. There were statistically significant gender differences in the causal ordering between mathematics anxiety and mathematics achievement. Prior low mathematics achievement significantly related to later high mathematics anxiety for boys across the entire junior and senior high school but for girls at critical transition points only. Mathematics anxiety was more reliably stable from year to year among girls than among boys.

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Metadata

Authors
Ma, X., & Xu, J.
Venue
Journal of Adolescence
Publisher
Wiley
Published
2003-12-23
Volume
27
Issue
2
Pages
165-179
ISSN
  • 0140-1971 (ISSN-L)
  • 1095-9254
DOI
10.1016/j.adolescence.2003.11.003
OpenAlex
W2039827476
Cited by
454
References
38
FWCI
1.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The causal ordering of mathematics anxiety and mathematics achievement: a longitudinal panel analysis. https://app.cochat.ai/papers/10.1016/j.adolescence.2003.11.003
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Ma, X., & Xu, J. (2004). The causal ordering of mathematics anxiety and mathematics achievement: a longitudinal panel analysis. Journal of Adolescence. https://doi.org/10.1016/j.adolescence.2003.11.003

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.