Connecting child care quality to child outcomes - Drawing policy lessons from nonexperimental data
Connecting child care quality to child outcomes - Drawing policy lessons from nonexperimental data
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DOI：
10.1177/0193841x06291530
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发表时间：
2006-10-01
影响因子：
0.9
通讯作者：
Gibson-Davis, Christina M.
中科院分区：
文献类型：
--
作者：
Duncan, Greg J.;Gibson-Davis, Christina M.
有效的幼儿干预和儿童保育政策应基于了解儿童保育质量和类型对儿童福祉的影响。本文介绍了从非实验数据中确保对这些影响进行公正估计的方法。它侧重于纵向研究，例如国家儿童健康和人类发展研究所的早期儿童保育研究网络开发的研究。本文首先描述了非经验数据分析中出现的偏差问题，然后解释了控制父母选择儿童保育所产生的偏差的策略。接下来，它对纵向研究中的损耗进行了评论，并概述了解决可能的损耗偏差的一些策略。最后，它讨论了将这些研究得出的“效应大小”转化为政策制定者所需的成本和收益信息的必要性。
Effective early childhood intervention and child care policies should be based on an understanding of the effects of child care quality and type on child well-being. This article describes methods for securing unbiased estimates of these effects from nonexperimental data. It focuses on longitudinal studies like the one developed by the National Institute of Child Health and Human Development's Early Child Care Research Network. This article first describes bias problems that arise in analyses of nonexperintental data and then explains strategies for controlling for biases arising from parental selection of child care. Next, it comments on attrition in longitudinal studies and outlines some strategies for addressing possible attrition bias. Finally, it discusses the need to translate "effect sizes" derived from these studies into the kinds of cost and benefit information needed by policy makers.