– Seven steps toward more transparency in statistical practice – Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media – 10 ways to use fewer colors in your data visualizations – Why scatter plots suggest causality, and what we can do about it – LOCO: The 88-million-word language of conspiracy […]
Tag: statistics
Potpourri: Statistics #81
– The list of 2021 visualization lists – ML and NLP Research Highlights of 2021 – Regression and Other Stories – Causal Inference for The Brave and True – Quantifying causality in data science with quasi-experiments – An Introduction to Linear Mixed-Effects Modeling in R – The Science of Visual Data Communication: What Works – […]
Statistical issues
Here is a collection of statistical issues and misunderstandings you often will encounter in empirical research. My plan is to add more examples in the future. Issue Description Source Absence of evidence fallacy No evidence for a finding should not be interpreted as there is evidence of its absence. Altman and Bland (1995) Berkson’s paradox […]
New article in Journal of Political Science Education: Beyond the Numbers
Together with Gianna Maria Eick, Ben Baumberg Geiger and Trude Sundberg, I have an article in the new issue of Journal of Political Science Education. Here is the abstract: A number of studies demonstrate that quantitative teaching provides social science students with analytical and critical skills. Accordingly, the skills acquired during quantitative teaching are assumed […]
Microdosing psychedelics, mental health and conditioning on a collider
In a new study, Adults who microdose psychedelics report health related motivations and lower levels of anxiety and depression compared to non‐microdosers, a team of researchers conclude that microdosers, i.e., people who use psychedelic substances at sub‐sensorium ‘microdoses’, exhibit lower levels of depression, anxiety, and stress. The study relies on self-reported, observational data. As this […]
How (not) to study suicide terrorism
Today is the 20 year anniversary for 9/11. That made me look into one of the most salient methodological discussions on how to study suicide terrorism within political science. Suicide terrorism is a difficult topic to study. Why? Because we cannot learn about the causes (or correlates) of suicide terrorism from only studying cases of […]
Potpourri: Statistics #63 (COVID-19)
– Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve” – Top 15 R resources on Novel COVID-19 Coronavirus – Collection of analyses, packages, visualisations of COVID19 data in R – Coronavirus (Covid-19) Data in the United States – How to Flatten the Curve, a Social Distancing Simulation and Tutorial – Forecasting […]
Potpourri: Statistics #58
– Mastering R presentations – The Little Handbook of Statistical Practice – Create regular expressions easily – Data Integrity Tests for R – Quantitative Economics with Python – Doing Meta-Analysis in R: A Hands-On Guide – Appreciating R: The Ease of Testing Linear Model Assumptions – Just Quickly: The unexpected use of functions as arguments […]
A Guide to Getting International Statistics into R
In political science, some of the data we use is from international databases such as the World Bank, ILOSTAT, OECD, WHO and Eurostat. One possibility to access data from these sources is to manually download data from their webpages. This is, however, often time-consuming and not an efficient way to obtain data. Luckily, there are […]
Potpourri: Statistics #57
– Keep It Together: Using the tidyverse for machine learning – Learn to purrr – Mastering Shiny – A Comprehensive List of Handy R Packages – The challenges of using machine learning to identify gender in images – How is polling done around the world? – How to Get Better at Embracing Unknowns – Drawing […]