Teaching

This page contains materials related to my teaching at NYU as well as links to a number of lectures/labs prepared for either Regression III or Advanced Multilevel Modeling at the ICPSR Summer Program.  For a more complete record of my teaching experience please refer to my CV.

NYU Summer 2023: Social Media and Political Participation

Lab 1: Introduction to R 

Lab 2: Statistics in R

Lab 3: Introduction to Twitter API v2

Lab 4: Analyzing Twitter/Text Data

Lab 5: Reddit Data and Web Scraping

Lab 6: Advanced Analysis

NYU Spring 2021: Introduction to International Politics

Syllabus 

Example Midterm 

Example Final 

ICPSR 2020: Advanced Multilevel Modeling Supplements

Part 1: Review of Fixed and Random Effects

Part 2: Relationship with Omitted Variables

Part 3: Missing Data and Selection Bias

Part 4: Lecture on Independence, Relational Data, etc.

ICPSR Materials from Previous Years

Omnibus Diagnostics, GAMLSS, Augmented Least Squares: Slides, Code, Lab Code, Selectorate Data

• • • Multivariate Adaptive Regression Splines for GAMLSS, compliments of Dave Armstrong

Simpsons Paradox, Missing Data and Multilevel Selection Models: Slides, Simpsons Code, Selection Code

NYU Data Services Consultation Code

Below I have included links to scripts on topics that have come up as a consultant for NYU Data Services for ease of reference.  They are generally worked examples of performing particular tasks rather than broad overviews.

AQR Proseminar: Wrangling, Graphics, and Typesetting in R

Web Scraping with R -- Walk Through, Code

Basic NLP

Basic GIS in R