Although understanding the role of race, ethnicity, and identity is central to political science,
methodological debates persist about whether it is possible to estimate the effect of …

Using a small example as an illustration, this article reviews multivariate matching from the
perspective of a working scientist who wishes to make effective use of available methods …

An innovative and accessible guide to doing social research in the digital age. In just the
past several years, we have witnessed the birth and rapid spread of social media, mobile …

This is the first paper in a series of two that synthesizes, compares, and extends methods for
causal inference with longitudinal panel data in a structural equation modeling (SEM) …

Lagged explanatory variables are commonly used in political science in response to
endogeneity concerns in observational data. There exist surprisingly few formal analyses or …

Although literature about the relationship between social media and political behaviors has
expanded in recent years, little is known about the roles of social media as a source of …

Survey experiments often manipulate the description of attributes in a hypothetical scenario,
with the goal of learning about those attributes' real-world effects. Such inferences rely on an …

There is a large theoretical literature on methods for estimating causal effects under
unconfoundedness, exogeneity, or selection-on-observables type assumptions using …

Some in the social sciences argue that the same logic applies to both qualitative and
quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney …

Advances in qualitative methods and recent developments in the philosophy of science
have led to an emphasis on explanation via reference to causal mechanisms. This book …