Quantitative Methods
Syllabus
Schedule
Classes and readings
Assignments
Resources
Can we do slightly fancier analyses?
Causation
Overview
Classes and readings
Why and how do we measure things?
Why use data in political science?
What even is data analysis?
Measurement and research design I
Measurement and research design II
How do we work with data?
Data visualization I
Data visualization II
Data wrangling I
Data wrangling II
Data importing and tidy data I
Data importing and tidy data II
How do we model things in the world?
Simple linear regression I
Simple linear regression II
Multiple regression I
Multiple regression II
How do we infer things about the world?
Sampling I
Sampling II
Estimation, confidence intervals, and bootstrapping I
Estimation, confidence intervals, and bootstrapping II
Hypothesis testing I
Hypothesis testing II
Inference for regression I
Inference for regression II
Can we do slightly fancier analyses?
Marginal effects
Logistic regression
Causation
Prediction
How can we communicate these results to regular people?
Tell your story with data I
Tell your story with data II
On this page
Readings
View source
Report an issue
Can we do slightly fancier analyses?
Causation
Causation
Readings and class materials for Sunday, November 22, 2026
Readings
Andrew Heiss,
“Statistical Methods in Public Policy Research,”
pre-published September 26, 2025,
https://doi.org/10.31235/osf.io/cwymb_v2
Other readings TBA
Logistic regression
Prediction