Author Archives: Justin Esarey

[This post is contributed by Jong Hee Park, Seoul National University.] On January 11 and 12, 2018, the fifth Asian Political Methodology Meeting was held at Seoul National University, Republic of Korea. The meeting was co-sponsored by the Department of Political … Continue reading →

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 →

“Redefine statistical significance,” a paper recently published in Nature Human Behavior (Benjamin et al., 2017) generated a substantial amount of discussion in methodological circles. This paper proposes to lower the threshold for statistical significance from the conventional level of to … 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 →

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 statistical significance from p < 0.05 to p < 0.005, both two-tailed (Benjamin et al. 2017). The purpose … Continue reading →