Additional Resources

Open Access Methods Textbooks

• The Effect: An Introduction to Research Design and Causality
• Empirical Methods in Political Science
• Quantitative Research Methods (QRM Book)
• Quantitative Political Science

R Books and other stuff

• R for Data Science (2e)

• Introduction to Data Science: Data Wrangling and Visualization with R

• YaRrr! The Pirate’s Guide to R

• R Companion to Real Econometrics

• R Cheat Sheets

• R Youtube Tutorials from NIU Graduate Students

Data Visualization

• Fundamentals of Data Visualization

• Data Visualization: A Practical Introduction

More Books to Read

“Pop” data science books:

• Carl Bergstrom & Jevin West – Calling Bullshit
• Nate Silver – The Signal and the Noise
• Charles Wheelan – Naked Statistics
• Tim Harford – The Data Detective

Basic Introductions

• Neil Salkind – Statistics for People who (think they) Hate Statistics
• Scott Cunningham – Causal Inference: The Mixtape
• Gary Klass – Just Plain Data Analysis

Advanced Texts

For students looking to go beyond what is taught in the course:

• Andrew Gelman and Jennifer Hill – Data Analysis Using Regression and Multilevel/Hierarchical Models
• Damodar N. Gujarati – Essentials of Econometrics
• Jeffrey Wooldridge – Introductory Econometrics
• Elena Llaudet and Kosuke Imai – Data Analysis for Social Science
• Jenine Harris – Statistics with R
• Guido Imbens and Donald Rubin – Causal Inference for Statistics, Social, and Biomedical Sciences