Amid recent progress in cognitive development research, high-quality data resources are accumulating, and data sharing and secondary data analysis are becoming increasingly valuable tools. Integrative data analysis (IDA) is an exciting analytical framework that can enhance secondary data analysis in powerful ways. IDA pools item-level data across multiple studies to make inferences possible both within and across studies and can be used to test questions not possible in individual contributing studies. Some of the potential benefits of IDA include the ability to study longer developmental periods, examine how the measurement of key constructs changes over time, increase subject heterogeneity, and improve statistical power and capability to study rare behaviors. Our goal in this article is to provide a brief overview of the benefits and challenges of IDA in developmental research and to identify additional resources that provide more detailed discussions of this topic.

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综合数据分析在发展研究中的优势

随着认知发展研究的最新进展，优质数据资源不断积累，数据共享和二次数据分析成为越来越有价值的工具。综合数据分析 (IDA) 是一个令人兴奋的分析框架，可以以强大的方式增强二级数据分析。IDA 汇集跨多项研究的项目级数据，以便在研究内部和研究之间进行推论，并可用于测试个别贡献研究中不可能出现的问题。IDA 的一些潜在好处包括能够研究更长的发展时期，检查关键结构的测量如何随时间变化，增加主题异质性，以及提高统计能力和研究罕见行为的能力。