- Does Suffering Suffice? An Experimental Test of Moore’s Retributivism (with Andrei Poama)
- Writing a reproducible paper in R Markdown
- Visualizing causal scenarios and planned|realized measurements [interactively] (ECPR 2016, MPSA 2017)
- We explore ways of visualizing scenarios of and data on the temporal relation between treatment and response variables across time, across units or groups. The graph we develop may be used for systematic assessments of the role of time in causal relationships. We illustrate various insights it may produce and test potential applications relying on a combination of hypothetical examples and classics from the causal inference literature (e.g. Lalonde 1986, Card and Krueger 1994). As a proof-of-concept we supplement our study with an open-source application (based on R, Shiny and Plotly). This app should allow users to visualize examples as well as ‘draw’ their own scenarios interactively. Most of the graphs in this paper were made using the app and you can find an online version that is under development.
- The “quality” of citations: Measuring the qualitative impact of research (with Pablo Barberá and Simon Munzert, MPSA 2016)
- The quantity of citations (“times cited”) has evolved into an influential indicator of scientific impact both in itself and packaged into other metrics (e.g. h-index, impact factor). In this study we contrast the idea of “quantity” with the idea of the “quality” of citations, i.e. the “quality” of impact. We develop and present methods that can be used to move from a superficial assessment of citation quantity to a more nuanced view of the quality of citations. We illustrate these methods using six highly cited study in the fields of political science, economics and sociology. In the future this more nuanced view and the data we are generating should allow for testing various hypotheses linked to the reception of scientific works and the sociology of science more generally. Our study is complemented by opensource code (based on R) that shall be collected in a R package CitationsR that allows other researchers to pursue their own analyses of the quality of impact of one or several studies.
- Conceptualizing Trust and Trustworthiness (Working paper; Earlier version published in the Political Concepts - Committee on Concepts and Methods Working Paper Series, No. 61.)
- This study explores the meaning of the concepts of trust and trustworthiness. Despite the concepts' popularity and indisputable relevance, interested scholars face a conceptual 'jungle' that is hard to pervade. Building on and summarizing previous definitions and research, we attempt to provide a general definition for both concepts. This conception may serve as a starting point for future research, as well as a basis on which to analyse research done thus far. It is flexible enough to describe a wide variety of situations in which both concepts play a role and sets a clear boundary between the concepts themselves, their causes and their consequences. In addition, it helps to isolate trust and trustworthiness from other closely linked concepts (e.g. trusting behavior) and to systematically classify different subconcepts of trust.
- Conceptualizing and Measuring Polarization: A Review