Cultural variations in family beliefs about children's performance in mathematics: Comparisons among People's Republic of China, Chinese-American, and Caucasian-American families.

Robert D. Hess, Chih-Mei Chang, Teresa M. McDevitt·1987·Journal of Educational Psychology

Cited by (9)

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    Morris, Michael W., Peng, Kaiping · 1994 · Journal of Personality and Social Psychology
  2. Goal theory, motivation, and school achievement: an integrative review.
    Covington, Martin V. · 2000 · Annual Review of Psychology
  3. The Role of Central Conceptual Structures in the Development of Children's Thought
    Case, Robbie, Okamoto, Yukari, Griffin, Sharon, McKeough, Anne, Bleiker, Charles, Henderson, Barbara, Stephenson, Kimberly Marra, Siegler, Robert S., Keating, Daniel P. · 1996 · Monographs of the Society for Research in Child Development
  4. Motivation and Mathematics Achievement: A Comparative Study of Asian-American, Caucasian-American, and East Asian High School Students
    Chuansheng Chen, Harold W. Stevenson · 1995 · Child Development
  5. In search of an east asian identity in mathematics education
    Leung, Frederick K.S. · 2001 · Educational Studies in Mathematics

See all 249

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cultural variations in family beliefs about children's performance in mathematics: Comparisons among People's Republic of China, Chinese-American, and Caucasian-American families. https://app.cochat.ai/papers/10.1037//0022-0663.79.2.179
The paper
Hess, R. D., Chang, C.-M., & McDevitt, T. M. (1987). Cultural variations in family beliefs about children's performance in mathematics: Comparisons among People's Republic of China, Chinese-American, and Caucasian-American families. Journal of Educational Psychology. https://doi.org/10.1037//0022-0663.79.2.179

Data sources

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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.