Author Archives: Justin Esarey

Yesterday, I was sent a press release from Cambridge University Press announcing that Political Science Research and Methods would begin integrating the Code Ocean reproducibility software as a part of its replication requirement. According to the press release, Political Science Research … Continue reading →

[Update 12/2/2018 at 10:45 AM ET: A corrigendum to answers from Justin Esarey has been published.] “Redefine statistical significance,” a paper recently published in Nature Human Behavior (Benjamin et al., 2017) generated a substantial amount of discussion in methodological circles. … Continue reading →

Barry C. Burden, David T. Canon, Kenneth R. Mayer, and Donald P. Moynihan MacKinnon and Webb offer a useful analysis of how the uncertainty of causal effects can be underestimated when observations are clustered and the treatment is applied to … Continue reading →

I’m pleased to announce the schedule of speakers in the International Methods Colloquium Series for 2017-2018! Arthur Spirling (New York University) October 20th Roundtable on Reproducibility and a Stricter Threshold for Statistical Significance: Dan Benjamin (University of Southern California), Daniel Lakens (Eindhoven University of Technology), … Continue reading →

[Update 12/2/2018 at 10:45 AM ET: A corrigendum to this piece has been published.] by Justin Esarey, Associate Professor of Political Science at Rice University1 Introduction A large and interdisciplinary group of researchers recently proposed redefining the conventional threshold of … Continue reading →

[Editor’s note: this post is contributed by R. Michael Alvarez, Co-Editor of Political Analysis and Professor of Political Science at Caltech.] Over the past six months, Political Analysis has made two important transitions: the move to Cambridge University Press and to Cambridge’s … Continue reading →