Summary by: Wen Wen

PDF Version

What are “state-” and “trait-” math achievements in early education?

Interventions can boost early math skills, but the role of these early skills on later math achievement is unclear. Consider that students who demonstrate stronger early math skills tend to demonstrate stronger later math achievement, yet some interventions that improve early math skills do not improve later math achievement – that is, the early benefits fade substantially after 2 or 3 years.

Daniela Alvarez-Vargas, Sirui Wan, Lynn S. Fuchs, Alice Klein, & Drew H. Bailey

PDF Version

Despite policy relevance, long term evaluations of educational interventions are rare relative to the amount of end of treatment evaluations. A common approach to this problem is to use statistical models to forecast the long-term effects of an intervention based on the estimated shorter term effects. Such forecasts typically rely on the correlation between children’s early skills (e.g., preschool numeracy) and medium-term outcomes (e.g., 1^st grade math achievement), calculated from longitudinal data available outside the evaluation. This approach sometimes over- or under-predicts the longer-term effects of early academic interventions, raising concerns about how best to forecast the long-term effects of such interventions. The present paper provides a methodological approach to assessing the types of research design and analysis specifications that may reduce biases in such forecasts.

What did we do?