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

QSSC: Inference for Cluster-Level Randomized Experiments
(with Matched Pairs)
Fri, Apr 19, 2024, 12:00 pm1:00 pm

This paper considers the problem of inference in cluster randomized trials where treatment status is determined according to a "matched pairs'' design. Here, by a cluster randomized experiment, we mean one in which treatment is assigned at the level of the cluster; by a "matched pairs'' design we mean that a sample of clusters is paired…

Speaker
QSSC: TBA
Fri, May 3, 2024, 12:00 pm1:00 pm
Location
127 Corwin Hall
Speaker

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 Simple Computer Age Approach to Small Sample Corrections
Fri, Oct 6, 2023, 12:00 pm1:00 pm

P. M. Aronow is Associate Professor, with Tenure, of Political Science, Biostatistics, Economics, and Statistics & Data Science at Yale University. Professor Aronow’s research considers the theory and application of quantitative methods for the study of human behavior.

Speaker
QSSC: Estimating the Value of Evidence-Based Decision Making
Fri, Sep 22, 2023, 12:00 pm1:00 pm

Business/policy decisions are often based on evidence from randomized experiments and observational studies. In this article we propose an empirical framework to estimate the value of evidence-based decision making (EBDM) and the return on the investment in statistical precision.

Location
127 Corwin Hall
Speaker
QSSC: Observational Average Treatment Effect Estimation with Images as Confounders
Thu, Sep 14, 2023, 12:00 pm1:00 pm

This talk lays out a straightforward framework for treatment effect inference with image-valuate control covariates, and numeric treatments and outcomes, a setting that is increasingly more common as image data becomes more available. The proposed method combines predictions from deep convolutional neural networks with semiparametric de-biasing…

Location
127 Corwin Hall
Speaker
QSSC: Measuring attentiveness on self-administered surveys
Fri, Apr 28, 2023, 12:00 pm1:00 pm

Inattentive and distracted respondents are increasingly a concern for survey researchers. The failure of respondents to pay attention to questions and treatments introduces noise into data sets, weakening correlations between items and increasing the likelihood of null findings. Various methods have been proposed to identify inattentive…

Speaker