TY - JOUR
T1 - Predictors of mathematics achievement of migrant children in Chinese urban schools
T2 - A comparative study
AU - Liu, Ting
AU - Holmes, Kathryn
AU - Albright, James
N1 - Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/5/1
Y1 - 2015/5/1
N2 - In China, the education of increasing numbers of migrant children in urban settings is undertaken in integrated public or segregated migrant schools. This study compares the factors and predictors related to migrant children's mathematics achievement in public schools and migrant schools. Regression analyses were conducted to determine which independent variables (school type, sibling numbers, length of residence in urban areas, gender, preschool attendance, and parental socioeconomic status) were the predictors of migrant students' mathematics achievement. With respect to the total sample, the overall model of five factors pertinent to student achievement outcomes in mathematics was significant (sibling numbers, length of residence in urban areas, preschool attendance, parental socioeconomic status and school type). While these factors figure prominently as significant academic predictors for the migrant school sample, the only significant predictor of mathematics achievement for the public school sample is parental socioeconomic status. In the light of these findings the paper concludes with suggestions for the intervention that inform and characterize the education of migrant children in urban schools.
AB - In China, the education of increasing numbers of migrant children in urban settings is undertaken in integrated public or segregated migrant schools. This study compares the factors and predictors related to migrant children's mathematics achievement in public schools and migrant schools. Regression analyses were conducted to determine which independent variables (school type, sibling numbers, length of residence in urban areas, gender, preschool attendance, and parental socioeconomic status) were the predictors of migrant students' mathematics achievement. With respect to the total sample, the overall model of five factors pertinent to student achievement outcomes in mathematics was significant (sibling numbers, length of residence in urban areas, preschool attendance, parental socioeconomic status and school type). While these factors figure prominently as significant academic predictors for the migrant school sample, the only significant predictor of mathematics achievement for the public school sample is parental socioeconomic status. In the light of these findings the paper concludes with suggestions for the intervention that inform and characterize the education of migrant children in urban schools.
KW - Academic outcome predictors
KW - Mathematics achievement
KW - Migrant children
KW - Primary school
UR - https://www.scopus.com/pages/publications/84929404794
U2 - 10.1016/j.ijedudev.2015.03.001
DO - 10.1016/j.ijedudev.2015.03.001
M3 - 文章
AN - SCOPUS:84929404794
SN - 0738-0593
VL - 42
SP - 35
EP - 42
JO - International Journal of Educational Development
JF - International Journal of Educational Development
ER -