Citation Bias in IR Research Depends on Your Statistical Model, Study Finds

citationspoisson inverse gaussianstatistical specificationMethodology @R&P 1 Stata file 2 Datasets Dataverse

New research challenges previous studies on citation gender gaps. The article demonstrates how different statistical specifications affect observed results regarding women's citations in international relations.

Using Poisson Inverse Gaussian regression, the analysis shows that:

Citation patterns depend heavily on model choice
Findings range from null effects to showing women cited more frequently

This highlights the importance of substantive methodological decisions for drawing correct conclusions.

Article card for article: Comment on Zigerell (2015): Using Poisson Inverse Gaussian Regression on Citation Data

Comment on Zigerell (2015): Using Poisson Inverse Gaussian Regression on Citation Data was authored by Brian Fogarty. It was published by Sage in R&P in 2015.