A course in quantitative research workflow for students in the higher education administration program at the University of Florida
Prior to first meeting, please follow the software link to download and install all relevant software.
This semester, we will take lessons in order, but not necessarily complete them in the same week we start them. Instead, we’ll go through them at them pace that best fits the course. Here are the topics we’ll cover together (and their corresponding assignment number):
| Lesson | Assignment |
|---|---|
| > Getting and installing required software | |
| > Introduction to RStudio (R, RMarkdown, git) | 1 |
| > Computer file structure > Organizing a script and project directory |
2 |
| > Data wrangling I: Enter the Tidyverse | 3 |
| > Data wrangling II: Appending, joining, and reshaping data | 4 |
| > Data visualization with ggplot2: Part I | 5 |
| > Data visualization with ggplot2: Part II | 6 |
| > Creating research reports with RMarkdown | 7 |
| > Data wrangling III: Working with strings and dates | 8 |
| > Functional programming | 9 |
| > Data wrangling with base R | 10 |
| > Data wrangling IV: A philosophy of data wrangling | 11 |
Assignments are due before class in the week after we finish a lesson
In addition, we’ll may have a number of self-directed lessons that each student can select among to work on during class time based on their research interests. These include:
Along the way, you’ll have parts of your final project due. These are due on the following weeks/dates:
| Week | Final project component due |
|---|---|
| Week 4 (1/31) |
< Final project: proposal |
| Week 10 (3/14) |
SPRING BREAK |
| Week 12 (3/28) |
< Final project: initial set of analyses |
| Week 15 (4/11) |
< Final project: draft of final report |
| Week 16 (4/25) |
> Presentations |
| FINALS (5/2) |
< Final project: final report |