Hein Sascha, Tan Mei, Reich Jodi, Thuma Philip E, Grigorenko Elena L
Yale University, USA.
Yale University, USA; Temple University, USA.
Learn Individ Differ. 2016 Feb;46:25-37. doi: 10.1016/j.lindif.2015.04.004. Epub 2015 Apr 25.
This study uses hierarchical linear modeling (HLM) to examine the school factors (i.e., related to school organization and teacher and student body) associated with non-verbal intelligence (NI) and nutritional status (i.e., body mass index; BMI) of 4204 3 to 7 graders in rural areas of Southern Province, Zambia. Results showed that 23.5% and 7.7% of the NI and BMI variance, respectively, were conditioned by differences between schools. The set of 14 school factors accounted for 58.8% and 75.9% of the between-school differences in NI and BMI, respectively. Grade-specific HLM yielded higher between-school variation of NI (41%) and BMI (14.6%) for students in grade 3 compared to grades 4 to 7. School factors showed a differential pattern of associations with NI and BMI across grades. The distance to a health post and teacher's teaching experience were the strongest predictors of NI (particularly in grades 4, 6 and 7); the presence of a preschool was linked to lower BMI in grades 4 to 6. Implications for improving access and quality of education in rural Zambia are discussed.
本研究采用分层线性模型(HLM),对赞比亚南部省份农村地区4204名3至7年级学生的非言语智力(NI)和营养状况(即体重指数;BMI)相关的学校因素(即与学校组织以及教师和学生群体有关的因素)进行了考察。结果显示,NI和BMI差异的23.5%和7.7%分别受学校间差异的影响。这14个学校因素分别占NI和BMI学校间差异的58.8%和75.9%。与4至7年级的学生相比,特定年级的HLM显示3年级学生的NI(41%)和BMI(14.6%)的学校间差异更大。学校因素在各年级与NI和BMI的关联模式存在差异。到卫生站的距离和教师的教学经验是NI的最强预测因素(特别是在4、6和7年级);学前班的存在与4至6年级较低的BMI有关。文中讨论了对改善赞比亚农村地区教育机会和教育质量的启示。