Creating a Retrospective Cohort Through Data Linkage: Opportunities and Pitfalls for Assessing Early Life Predictors of First Grade Academic Outcomes Among Georgia Public School Children


Collecting the perfect data to answer a research question is optimal but not always feasible. Sometimes existing data can be leveraged to answer some questions, but this opportunity comes with important potential pitfalls. To test the effect of early life exposures such as being born preterm or living in a materially deprived neighborhood on early childhood academic performance, we create a longitudinal cohort by deterministically linking all singleton live births to Georgia-resident women over a 5-year period to the children's subsequent performance on first grade Georgia standardized tests. In this case study, we cover the basic features of epidemiologic cohort studies, construction of the linked dataset for our study, and assessment of linkage quality and potential for bias.

locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles