Elizabeth Tipton

TL;DR: The results suggest that spatially enriched education could pay substantial dividends in increasing participation in mathematics, science, and engineering.

TL;DR: This paper provides an estimator of the covariance matrix of meta-regression coefficients that is applicable when there are clusters of internally correlated estimates and demonstrates that the meta- Regression coefficients are consistent and asymptotically normally distributed and that the robust variance estimator is valid even when the covariates are random.

TL;DR: A US national experiment showed that a short, online, self-administered growth mindset intervention can increase adolescents’ grades and advanced course-taking, and identified the types of school that were poised to benefit the most.

TL;DR: 6 estimators with better small sample properties are introduced and the effectiveness of these estimators via 2 simulation studies are studied, suggesting that the best estimator involves correcting both the residuals and degrees of freedom used in the robust variance estimator.

TL;DR: A brief tutorial on the implementation of the Stata and spss macros is provided and practical issues meta-analysts should consider when estimating meta-regression models with robust variance estimates are discussed.