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

QSSC: A measure of nationalization:
Fri, Mar 1, 2024, 12:00 pm1:00 pm

Scholars have documented the upward trend of nationalization within American politics, but frequently overlook the significance of local elections. I collect a dataset of presidential election returns at the municipal level and develop a novel, nonparametric measure of nationalization that incorporates a k-means clustering algorithm, which can…

Location
127 Corwin Hall
Speaker
Workshop: Spatial Analysis
Fri, Feb 23, 2024, 3:00 pm4:30 pm

This workshop is part of a series in collaboration with DDSS scholars and will serve as the foundational step for participants to explore advanced spatial analysis topics, with the following objectives:

Introduction to Geoda: We will first delve into Geoda, which is a user-friendly software application…
Location
103 Bendheim House
Speaker
Workshop: Regression Assumptions
Fri, Feb 16, 2024, 3:00 pm3:50 pm

In this workshop, we will delve into the coding behind the lm() function in R & understand the mechanics of creating a regression results table.

Understanding the lm() Function: Gain insights into the statistical theory and coding behind the values produced by the lm() function in R.

Location
103 Bendheim House
Speaker
QSSC: Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance
Fri, Feb 16, 2024, 12:00 pm1:00 pm

We develop a framework to design and analyze partial population experiments, a generalization of the cluster experimental design where clusters are assigned to different treatment intensities. Our framework allows for heterogeneity in outcome distributions across clusters and heterogeneous cluster sizes, which are pervasive in empirical…

Location
127 Corwin Hall
Speaker