Welcome to QAPS
The Program for Quantitative and Analytical Political Science (QAPS) was established in 2009 to support theoretical and quantitative research in political science and its dissemination. We support graduate students through QAPS fellowships, host post-doctoral research fellows, offer statistical and formal theory consulting, hold quantitative skills workshops, throw conferences, and organize the Quantitative Social Science Colloquium.
Currently, there are no future events. Please contact us if you would like us to provide a methodology workshop that will benefit your research agenda.
We are happy to announce exciting updates from QAPS! We recently welcomed Tolgahan Dilgin as the QAPS Statistical Services Manager. For those who remember Will Lowe, Tolgahan will be serving in a very similar role. Stay tuned for updates on our upcoming workshops, and for information on how to utilize our consultancy services.
This workshop shows how to create publication quality graphics using the the 'grammar of graphics' implemented in R in the package ggplot2. We first decompose a statistical graphic into its components: mappings of variables onto visual elements and then practice using functions that build up a plot.Prerequisites
This workshop shows the ways that empirical papers and the slides associated with them can be integrated with data analyses in R using LaTeX, Markdown, and RMarkdown.Prerequisites
The workshop will assume basic R competence.Audience
This workshop is for anyone interested in optimizing their workflow for writing an…
This workshop shows how to manipulate data efficiently in R using readr, dplyr, and tidyr.Prerequisites
The workshop will assume competence in base R.Audience
This workshop is for anyone interested in improving their R data wrangling skills.
If you are not a politics graduate…
This workshop provides an introduction to the R statistical language (base R) and how to use it for simple statistical simulations.Prerequisites
The workshop assumes no knowledge of R. You should install R and RStudio (both…