多维社会经济指标的构建及其与儿童早期发展结果的验证

V. Krishnan
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引用次数: 2

摘要

本章的重点是发展社会经济指数(SEI)使用主成分分析(PCA)的26个变量在阿尔伯塔省的传播区(DA)水平。首先,讨论了社会经济因素在理解儿童发展结果中的重要性,解决了微观宏观层面的影响。其次,对框架进行了描述,并提供了统计程序。第三,提出了结果,随后讨论了在理解幼儿园发展结果方面有一个总结措施的好处。SEI的五个组成部分解释了整体指数中56%的总变化。对艾伯塔省各地的SEI模式进行了检查,该指数与儿童早期发展结果、身体、社会、情感、语言和认知技能、沟通和一般知识等五个领域的关联得到了验证。该指数在所有五个领域之间表现出很强的相关性,在不同的发展领域和地理位置之间的关系强度也有所不同。研究报告中提出的程序的一个主要优点是,它可以应用于不同层次的地理,并为发展研究提供有意义的资料。
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Constructing a Multidimensional Socioeconomic Index and the Validation of It With Early Child Developmental Outcomes
The chapter focuses on the development of a socioeconomic index (SEI) using a Principal Components Analysis (PCA) of 26 variables at the Dissemination Area (DA) level for Alberta. First, the importance of socioeconomic factors in understanding child development outcomes is discussed, addressing the micro-macro level influences. Second, a description of the framework is provided along with the statistical procedures. Third, the results are presented, followed by a discussion of the benefits of having a summary measure in understanding kindergartners' developmental outcomes. The five components of SEI explained 56 per cent of the total variation in the overall index. The SEI patterns across Alberta were examined and the index was validated for its associations to the five domains of early child developmental outcomes, physical, social, emotional, language and cognitive skills, and communication and general knowledge. The index emerged as a strong correlate of all five domains with the strength of relationships varying across developmental domains and geography. A major strength of the procedure presented in the study is that it can be applied to different levels of geography and provides meaningful information to developmental research.
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