1172. Seven steps toward more transparency in statistical practice 1173. Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media 1174. 10 ways to use fewer colors in your data visualizations 1175. Why scatter plots suggest causality, and what we can do about it 1176. LOCO: The 88-million-word language of conspiracy […]
Tag: statistics
Potpourri: Statistics #81
1138. The list of 2021 visualization lists 1139. ML and NLP Research Highlights of 2021 1140. Regression and Other Stories 1141. Causal Inference for The Brave and True 1142. Quantifying causality in data science with quasi-experiments 1143. An Introduction to Linear Mixed-Effects Modeling in R 1144. The Science of Visual Data Communication: What Works 1145. […]
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)
646. Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve” 647. Top 15 R resources on Novel COVID-19 Coronavirus 648. Collection of analyses, packages, visualisations of COVID19 data in R 649. Coronavirus (Covid-19) Data in the United States 650. How to Flatten the Curve, a Social Distancing Simulation and Tutorial 651. Forecasting […]
Potpourri: Statistics #58
572. Mastering R presentations 573. The Little Handbook of Statistical Practice 574. Create regular expressions easily 575. Data Integrity Tests for R 576. Quantitative Economics with Python 577. Doing Meta-Analysis in R: A Hands-On Guide 578. Appreciating R: The Ease of Testing Linear Model Assumptions 579. 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
545. Keep It Together: Using the tidyverse for machine learning 546. Learn to purrr 547. Mastering Shiny 548. A Comprehensive List of Handy R Packages 549. The challenges of using machine learning to identify gender in images 550. How is polling done around the world? 551. How to Get Better at Embracing Unknowns 552. Drawing […]