Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 4, Issue 4 (2006)
  4. A Quantile Regression Analysis of Family ...

Journal of Data Science

Submit your article Information
  • Article info
  • More
    Article info

A Quantile Regression Analysis of Family Background Factor Effects on Mathematical Achievement
Volume 4, Issue 4 (2006), pp. 461–478
Maozai Tian  

Authors

 
Placeholder
https://doi.org/10.6339/JDS.2006.04(4).283
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: Family background factor can be a very important part of a person’s life. One of the main interests of this paper is to investigate whether the family background factors alter performance on mathematical achievement of the stronger students the same way that weaker students are affected. Using large sample of 2000, 2001 and 2002 mathematics participation in Alberta, Canada, such questions have been investigated by means of quantile regression approach. The findings suggest that there may be differential family-background-factor effects at different points in the conditional distribution of mathematical achievements.

PDF XML
PDF XML

Copyright
No copyright data available.

Keywords
Factors family background mathematics education

Metrics
since February 2021
610

Article info
views

404

PDF
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Journal of data science

  • Online ISSN: 1683-8602
  • Print ISSN: 1680-743X

About

  • About journal

For contributors

  • Submit
  • OA Policy
  • Become a Peer-reviewer

Contact us

  • JDS@ruc.edu.cn
  • No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Powered by PubliMill  •  Privacy policy