| Literature DB >> 26819627 |
Pamela E Davis-Kean1, Justin Jager2, Julie Maslowsky3.
Abstract
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 lifespan. 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.Entities:
Keywords: population studies; quantitative methods; secondary data
Year: 2015 PMID: 26819627 PMCID: PMC4724430 DOI: 10.1111/cdep.12151
Source DB: PubMed Journal: Child Dev Perspect ISSN: 1750-8592