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Sequential probit modelling of family and community effects on educational progress among children to Polish and Turkish immigrants in Sweden

机译:家庭和社区对瑞典波兰和土耳其移民儿童教育进度的影响的顺序概率模型

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摘要

We explore effects of individual, family, and neighbourhood characteristics on educational progress. The statistical model used is a multilevel sequential probit model. Such formulation allows the covariate-effects to vary across different educational levels. Results based on about 2,100 children whose parents are either native Swedes or migrants from Poland or Turkey provide new insights with regard to differentials in educational progress across background variables. Among others, we find that parental education is a strong predictor of educational progress at all levels. On the other hand, while family structure, family economy, and ethnic background are strongly correlated to educational progress at lower levels, their effect diminishes at higher levels of education. Possible explanations and implications of the results are presented.
机译:我们探索个人,家庭和邻里特征对教育进度的影响。使用的统计模型是多级顺序概率模型。这样的表述允许协变量效应在不同的教育水平上变化。基于约2,100名父母为瑞典本地人或波兰或土耳其移民儿童的研究结果,该研究为跨背景变量的教育进步差异提供了新的见解。除其他外,我们发现父母教育是各级教育进展的有力预测指标。另一方面,虽然家庭结构,家​​庭经济和种族背景与较低水平的教育进度密切相关,但在较高水平的教育中其作用减弱。介绍了结果的可能解释和含义。

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