Logistisk regression er en statistisk model, der anvendes, når vi ikke har en kontinuerlig afhængig variabel, men eksempelvis en binær afhængig variabel. Vi vil her fokusere på en binær logistisk regression. Dette er relevant når vi vil undersøge om en borger stemte ved et valg, om et land er i krig eller ej, om en […]
Year: 2019
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 […]
Seven ways to find data
Data might be the new oil (there are arguments for and against this). While there definitely is a lot of data out there for you to drill, it can be difficult to find the exact data you need. In this post I will outline seven different strategies to 1) keep yourself updated on new data […]
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 […]
Word limits in political science journals
Different political science journals have different article formats with different word/page limits. Consequently, whenever you want to submit an article to a journal, the first thing to look up is the exact word limit. In order to get a sense of the different article formats and word limits in political science journals, I have created […]