Schools are increasingly held accountable for their contributions to students’ academic growth in math and reading. Under The Every Student Succeeds Act, most states are estimating how much schools improve student achievement over time and using those growth metrics to identify the bottom 5% of schools for remediation.

In this study, we apply the Compound Polynomial or “CP” model in a school evaluation context. The CP model addresses the seasonality of student test scores by simultaneously estimating between- and within-year growth.

Learn more about the effect of seasonality on estimates of school effectiveness and how ignoring summer loss can impact which schools are identified as low performers.

Do students’ social-emotional learning (SEL) skills in middle school predict being off-track to graduate high school?

SEDA provides a unique measure of educational opportunity across the United States. New research supports SEDA achievement scores, but also reveals some differences in growth estimates.

Learn more about the effect of seasonality on estimates of school effectiveness and how ignoring summer loss can impact which schools are identified as low performers.

In this study, repeated measures of math achievement and self-efficacy are used to fit a variety of latent curve models that jointly estimate growth in both constructs.