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Answering Developmental Questions Using Secondary Data.
Child Development Perspectives ( IF 5.1 ) Pub Date : 2015-10-22 , DOI: 10.1111/cdep.12151
Pamela E Davis-Kean 1 , Justin Jager 2 , Julie Maslowsky 3
Affiliation  

Secondary data analysis of large longitudinal and national data sets is a standard method used in many social sciences to answer complex questions regarding behavior. In this article, we detail the advantages of using these data sets to study developmental questions across the life span. First, we provide an overview of how using secondary data can increase studies' scientific integrity. Then, we detail where and how data sets can be obtained that answer specific questions. Finally, we discuss methodological issues related to using longitudinal, population data sets. These data sets can enhance science and test theories by increasing the rigor and generalizability of research to the general population, making secondary data analysis an important method to consider.

中文翻译:

使用辅助数据回答发展问题。

大型纵向数据集和国家级数据集的辅助数据分析是许多社会科学中用于回答有关行为的复杂问题的标准方法。在本文中,我们详细介绍了使用这些数据集来研究整个生命周期中的发展问题的优势。首先,我们概述了如何使用辅助数据来提高研究的科学完整性。然后,我们详细说明在何处以及如何获得可以回答特定问题的数据集。最后,我们讨论与使用纵向人口数据集有关的方法论问题。这些数据集可以通过提高对普通人群的研究的严格性和可推广性来增强科学和检验理论,从而使二级数据分析成为需要考虑的重要方法。
更新日期:2015-10-22
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