GVPT399F: Power, Politics, and Data
Hands-on introduction to political science data analysis
A (re)introduce to R and statistics
Avoid abstractions and jargon
Use R to collect, clean, and analyze data
Describe important features of your outcomes of interest and the variables you think drive changes to those outcomes
Identify and evaluate the relationship between two variables using statistical models
Describe those relationships using clear and precise language
Critically evaluate empirical claims made in political news and analysis
Currently: PhD student and RAND Corporation Adjunct
Previously: worked for the Australian government, international organizations, think tanks, and private firms
Lots of experience using statistics to uncover the things driving outcomes of interest
Head over to ELMs to introduce yourselves to each other!
Eight sessions, including this introduction and a conclusion
Each session comprises two parts:
Introduction to R
Introduction to a statistical concept
Read through the content, watch the videos (if included), complete the practice quizzes to test your understanding
Run the R code yourselves as you read through the content
Multiple choice quiz at the end of every session except the conclusion
You need to complete these in ELMs
A final exam
I will include links to other resources that you can use if you want further clarification
You can ask your fellow classmates through ELMs discussion boards
The internet is a wonderful thing
StackOverflow is my go-to for R-related questions
You can contact me via email