Neil Seftor

Classification and Regression Tree (CART) analysis is a statistical modeling approach that uses quantitative data to predict future outcomes by generating decision trees. This guide introduces CART analysis as an approach that allows data analysts to generate actionable analytic results that can inform educators' decisions about the allocation of extra supports for students.

Time: 11:30am - 1:00pm ET Location: Virtual Description: This session introduces the College Access Evidence Matrix, an informational resource designed to help college-access providers and educational leaders easily find proven interventions, aligned to the highest Every Student Succeeds Act (ESSA) evidence standards, that can increase the likelihood that students successfully transition to postsecondary education and training. REL Appalachia staff provides an orientation to the evidence matr...

These resources include a methodological summary and slide deck that describe how REL Appalachia (REL AP) and the Kentucky Department of Education (KDE) KDE staff generated statistical models to predict school performance and changes in school performance over time based on the demographic makeup of schools and shifts in these student populations over time. The resources also describe results from quantitative analyses of schools' adjusted school-level gains in grade 3 mathematics and reading...