IR 611: Multivariate Analysis

In the Spring of 2014 I am teaching IR 611: Multivariate Analysis for International Relations

The goals of this course are to:
1. Enable you to read quantitative research intelligently
2. Teach you several basic techniques for quantitative hypothesis testing.
3. Enable you to manage and manipulate datasets for large-n research projects
4. Provide you skills for self-teaching or working with co-authors using more sophisticated techniques in the future.
5. Provide you with a working knowledge of STATA to facilitate 2-4.

The first part of the course focuses on the derivation, estimation, and application of linear regression. The second part of the course covers violations of the assumptions of the linear regression model and methods that are used when these assumptions are violated.

The course will cover both the derivation and properties of estimators, as well as practical applications through data analysis using STATA, a statistical software package. The goal of the course is to provide students with an introduction to the tools that are necessary to conduct quantitative research in political science.

The (provisional) syllabus for the course is here (Updated January 10, 2014). Many of the readings will be updated as the semester progresses (though all of the readings currently on there will be useful). 

Each week, much of the traditional lecture material will be assigned as out-of-class viewing. This saves our in-class time for Q&A, discussion, simulation, and application. Please bring your laptop to class every week so that you can run exercises on your own machine.

All .do files used for in-class simulations are in the course dropbox folder.

Lecture Slides

Lecture 1: Introduction, Research Design Context

Lecture 2: Describing Data, WLOLN and CLT

Required Viewing

Class 2

Class 3 (Feb 3)

Class 4 (Feb 10)

Class 5 (Feb 24)

Class 6 (March 3)

Homework Assignments

Homework 1  Homework 1 tips

Homework 2  Homework 2 tips

Homework 3  Homework 3 Key (for part 1) 

Homework 4

Interesting Reading

Related to the need to read codebooks and do due diligence on data you don't code yourself, here is James Vreeland's takedown of the anocracies and civil conflict work.   

Here is One Swallow Doesn't Make a Summer on the true meaning of p-values.  (Also explains the true meaning of Christmas).