Category Archives: Statistics

Style, Substance, and the Impact on Gender Imbalance in Methods

I am really pleased to see that our series on Women in Methodology is already generating some much-needed attention to and discussion of the issues that women face in our subfield! Our two entries in the series have already been … Continue reading

Posted in Ask a Methodologist, Statistics, The Discipline | Leave a comment

An International Methodology Colloquium?

In my experience, one of the toughest things about being a political methodologist is often being the only member of the subfield in the department. It’s not always true, of course, but I think that many departments–even those with highly-ranked PhD programs–have … Continue reading

Posted in Statistics, The Discipline | Leave a comment

Scientific Conclusions versus Scientific Decisions, or We’re Having Tukey for Thanksgiving

I recently noticed this Tweet from Carlisle Rainey, a methodologist at SUNY Buffalo and a fellow Florida State alumnus: An essay by Tukey offers perspective on @justinesarey's alternative/supplement to hypothesis tests. http://t.co/8PzNNwtL0b — Carlisle Rainey (@carlislerainey) November 27, 2013 Tukey’s … Continue reading

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Reinhardt-Rogoff Redux: Debt, Growth, and Public Expenditure

Last week, I assigned an exam problem for my graduate methods class wherein they would re-examine the Reinhardt-Rogoff result linking decreased GDP growth to increased national debt. They examined this hypothesis in the Quality of Government data set, a product of … Continue reading

Posted in Statistics | 2 Comments

Being Careful with Multilevel Regression with Poststratification

Over at Andrew Gelman’s blog, there’s an interesting discussion going on about a new paper by Buttice and Highton assessing the accuracy of MRP estimates of state-level opinion. (MRP is short for Multilevel Regression with Poststratification, sometimes called “Mister P.”) … Continue reading

Posted in Software, Statistics | 5 Comments

GDELTtools: R Package to Download, Subset, and Normalize GDELT Data

International relations scholars interested in using the huge GDELT database of geocoded, conflict-related events should check out this new R package from Steve Haptonstahl of Berico Technologies and his collaborators!

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Credibility Toryism: Causal Inference, Research Design, and Evidence

In a prior post on my personal blog, I argued that it is misleading to label matching procedures as causal inference procedures (in the Neyman-Rubin sense of the term). My basic argument was that the causal quality of these inferences … Continue reading

Posted in Statistics | 4 Comments