用多层次有序模型分析早期生活对儿童认知发展的影响。

Quaderni di statistica Pub Date : 2008-12-01
Leah Li
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引用次数: 0

摘要

儿童认知发展的研究通常基于为特定年龄设计的测试。检查这些分数随时间的变化可能没有意义。本文研究了早期生活因素对认知发展的影响,使用了出生于1958年的英国出生队列在7岁、11岁和16岁时的数学和阅读测试成绩。这些测试分数的分布在不同的年龄之间有所不同,例如,20%的参与者在7岁时获得了阅读测试的最高分,而在16岁时阅读分数的分布严重倾斜。在本文中,我们将参与者分成5个有序的类别,根据他们在每个年龄段的测试成绩,每个类别约占20%。应用重复有序结果的多层模型将数学和阅读能力的有序尺度与早期生活因素联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Analysis of early life influences on cognitive development in childhood using multilevel ordinal models.

Studies of cognitive development in children are often based on tests designed for specific ages. Examination of the changes of these scores over time may not be meaningful. This paper investigates the influence of early life factors on cognitive development using maths and reading test scores at ages 7, 11, and 16 years in a British birth cohort born in 1958. The distributions of these test scores differ between ages, for example, 20% participants scored the top mark in the reading test at 7 and the distribution of reading score at 16 is heavily skewed. In this paper, we group participants into 5 ordered categories, approximately 20% in each category according to their test scores at each age. Multilevel models for a repeated ordinal outcome are applied to relate the ordinal scale of maths and reading ability to early life factors.

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Analysis of early life influences on cognitive development in childhood using multilevel ordinal models.
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