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.
Balancing 2020 Census Cost and Accuracy
Consequences for Congressional Apportionment and Fund Allocations. In an IPR working paper, former IPR graduate research assistant Zachary Seeskin, now a statistician at the University of Chicago, and IPR statistician Bruce Spencer examine the effects of alternative error profiles for the 2020 census on apportionment of the House of Representatives and on allocations of federal funds. The paper describes the methods of analysis and the findings. The software and data used to generate the analyses are available.
Robust Variance Estimation (RVE) in Meta-Analysis
IPR statistician and education policy researcher Larry Hedges and IPR 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.
"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
- Practical Introduction by Elizabeth Tipton
- Example (.zip file)