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.

his study describes a convergent validity analysis of the SEDA growth estimates in mathematics and English Language Arts (ELA) by comparing the SEDA estimates against estimates derived from NWEA’s MAP Growth assessments.

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.