Differential and long-term language impact on math

F. Chen, M. Chalhoub-Deville
  • Language Testing, August 2015, SAGE Publications
  • DOI: 10.1177/0265532215594641

language impact on math

What is it about?

Language ability is related to acedemic work consistently. However, depending on the content ability and developmental stages, the relationship varies in strength. This study also uses a more appropriate statistical model, quantile regression, compared to the traditions of research along this line to better capture the differential relationship between the two.

Why is it important?

Current research seek more detailed and deeper understanding between language ability and academic achievement. Quantile regression is more suitable when our interest is beyond a single mean. This paper demonstrates the power of quantile regression for deeper analyses on the relationship between variables.

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The following have contributed to this page: Dr. Fang Chen

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