Advanced Research Methods for Leadership & Public Affairs (MPA 6020)
The course syllabus is available here.
The text we will use in this class is Nicole Radziwill's Statistics (The Easier Way) with R: an informal text on applied statistics available here. You may want to download, to your OU Box account, all the data from here. Make sure you create a folder for the course and save all your notes, assignments, data, etc in this folder. This will make it easy for you to set your working directory for all coursework.
Stats Tables are here
How to choose an appropriate statistical test, graphic, etc. is here and here
Download the latest daily build of RStudio from here and the latest stable release of R from from here.
Lecture Materials
| Topic 1: Introduction to R | Notes | Source | Data | ||
| Topic 2: Descriptive Statistics | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 3a: Data Management (a) | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 3b: Data Management (b) | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 4: Hypothesis Testing | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 5: Linear Regression | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 6: Regression Diagnostics | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 7: Logit & Probit Models | Notes (1) | Source (1) | Notes (2) | Source (2) | |
| Topic 8: Ordinal Logit & Probit Models | Notes | Source | |||
| Topic 9: Count Data Models | Notes (1) | Source (1) | Notes (2) | Source (2) |