These pages provide supplementary information to students. For a comprehensive overview of my teaching activities, please refer to my CV.
Courses
Statistical models beyond linear regression (ASTK18414U)
Master's level. University of Copenhagen. Department of Political Science. 2023, 2024
Applied statistics class for political scientists.
Statistical analysis (STV4020B)
Master's/PhD level. University of Oslo. Department of Political Science. 2019, 2020
Advanced statistical analysis for social scientists. We go through the fundamental principals of causal inference as well as the most common generalized linear models (GLMs). Course given together with Øyvind Stiansen.
Samfunnsvitenskapelig forskningsmetode (SFS10207)
Bachelor's level. Østfold University College. Faculty of Business, Languages, and Social Sciences. 2013
Introduction to research methods. Course given together with Mathias Johannessen.
Tutorials and resources
What GLM model should I choose?
How can I choose the best (parsimonious) description of my data? Here is my mental map of model choice criteria, given the data generating process that produced my dependent variable. Play around with my decision tree for Generalized Linear Models (GLMs).
Where do I find my comparative politics data?
Embarking on your own research project can be daunting. What data already exists? And what data do I have to collect? Here, you can find my informal list of data resources relevant for my areas of resesarch in comparative politics.
Hvordan “skrape” data i R?
Det finnes et hav av digital informasjon der ute som vi kan bruke som data. Da er "skraping" (automatisert datainnsamling) gull verdt. Her finner du en gjennomgang av hvordan vi bruker R for å samle inn data fra nettet.
R + LaTeX = Sant
Latex og R arbeider godt sammen. Her finner du en kjapp gjennomgang av hvordan du kan jobbe med begge i RStudio.
Single lectures
Social Science Methods for Interdisciplinary Legal Studies
PhD level. University of Copenhagen. Faculty of Law. 2023
Introduction to R.