Big data analyses of educational achievement

Many important questions in education require analysing large and complex datasets including measures of environmental factors, cognitive skills, and educational achievement. We have access to several such datasets: The Eden cohort (N=400 to 1400), the DEPP 2007 panel (N=35 000), as well as more recent data from the  national evaluations in 1st and 2nd grade (N=800 000). Projects may bear on the following questions, among others:

• What are the early predictors of reading and math ability? to what extent are they mediated by early cognitive skills? to what extent do they differ between boys and girls?
• What are the effects of grade repetition on subsequent achievement? In a context where repetition generally has a mean negative effect, can one identify criteria that may allow one to identify those students who are most likely to benefit from repetition? 
• What are the early 1st grade predictors of subsequent reading acquisition?

Student profile: data science, statistics, econometrics.