Program for Quantitative and Analytical Political Science

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

Future Events

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.

News

Exciting Updates

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.

Previous Events

Workshop: Introduction to R
Fri, Sep 20, 2019, 10:00 am10:00 am

This workshop provides an introduction to the R statistical language and a core of useful tools for reading in and manipulating information in the form of rectangular data matrices.

Prerequisites

The workshop assumes no knowledge of R. However, you should install R and 

Location
Fisher 200
Speaker
Colloquium: Erin Hartman
Fri, Apr 26, 2019, 12:00 pm12:00 pm

Erin Hartman
Department of Political Science, University of California Los Angeles

Co-author: Naoki Egami (Princeton and Harvard)

Location
Corwin 127
Speakers
Colloquium: Simine Vazire
Fri, Apr 19, 2019, 12:00 pm12:00 pm

Simine Vazire
Department of Psychology, University of California at Davis

The Credibility Revolution in Psychology

A fundamental part of the scientific enterprise is for each field to engage in critical self-examination to detect…

Location
Corwin 127
Speaker
Workshop: Cleaning, Structuring, and Visualizing Data in R
Wed, Apr 17, 2019, 10:30 am10:30 am

This workshop focuses on how to load, clean, and restructure your data into a form suitable for summarizing in graphs and tables, and ready for your final analyses. We will use functions from the 'tidyverse' R packages to realize the key preparation steps in any empirical data analysis: data import, variable cleaning and construction, wide-to…

Location
Fisher 200
Speaker