Text has always been an important data source in political science. What has changed in
recent years is the feasibility of investigating large amounts of text quantitatively. The internet …

Background Multi-criteria decision analysis (MCDA) concepts, models and tools have been
used increasingly in health technology assessment (HTA), with several studies pointing out …

Despite the popularity of unsupervised techniques for political science text-as-data research,
the importance and implications of preprocessing decisions in this domain have received …

We study the problem of measuring group differences in choices when the dimensionality of
the choice set is large. We show that standard approaches suffer from a severe finite …

Word embeddings, the coefficients from neural network models predicting the use of words
in context, have now become inescapable in applications involving natural language …

The COVID-19 pandemic presents an exceptional crisis situation not only for governments,
but also for politicians in opposition. This article analyses opposition party expressed …

The third edition of the best-selling The Fundamentals of Political Science Research
provides an introduction to the scientific study of politics. It offers the basic tools necessary …

We review the substantial literature on estimating judicial ideology, from the US Supreme
Court to the lowest state court. As a way to showcase the strengths and drawbacks of …

Research has shown that emotions matter in politics, but we know less about when and why
politicians use emotive rhetoric in the legislative arena. This article argues that emotive …

Comparative scholars of legislative politics continue to face the challenge of measuring a
key theoretical concept: conflict at the level of legislative bills. We address this challenge …