Training Materials, Resources, and Data Tools
IPR fellows work with graduate students and research staff to develop software programs and other data tools that are made available to the public. Please check back periodically for updates and new developments.
Robust Variance Estimation (RVE) in Meta-Analysis
IPR statistician and education policy researcher Larry Hedges and Columbia University statistician Elizabeth Tipton, a former IPR graduate research assistant, are currently developing software for robust variance estimation.
- 1. Stata Macro: In Stata, type “ssc install robumeta” and the macro will install. Please see the documents below for information on the different models.
- 2. R package: We are currently working on an R package. If you are interested in an early version of this, please e-mail Elizabeth directly.
Hedges, L. V., E. Tipton, and M. C. Johnson. 2010. Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods 1(1): 39-65. Find the erratum here.
"Bringing Evidence-Based Decision Making to New Heights," Joint Colloquium of the Cochrane & Campbell Collaborations, Keystone, Colo., October 18-22, 2010
- Theoretical Introduction by Larry Hedges (pdf)
- Practical Introduction by Elizabeth Tipton (pdf)
- Example (.zip file)