Articles by Justin Esarey

Measuring Bias in Published Work

July 31, 2013 | Justin Esarey

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In ... [Read more...]

How to make a scientific result disappear

February 27, 2013 | Justin Esarey

Nathan Danneman (a co-author and one of my graduate students from Emory) recently sent me a New Yorker article from 2010 about the “decline effect,” the tendency for initially promising scientific results to get smaller upon replication. Wikipedia can summarize the phenomenon as well as I can: In his article, Lehrer ... [Read more...]

How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

January 18, 2013 | Justin Esarey

Just like a lot of political science departments, here at Rice a group of faculty and students meet each week to discuss new research in political methodology. This week, we read a new symposium in Political Analysis about the pre-registration of studies in political science. To briefly summarize, several researchers ... [Read more...]

High-Powered Statistical Computing On the iPad

December 17, 2012 | Justin Esarey

It's winter break… and as any academic knows, breaks are “a good time to get work done.” For the Christmas break, many of us have to travel home to see family members. One of the great privileges of being an academic is that you don't necessarily need to be in ... [Read more...]

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