This three-part series will cover the following materials:
Part 1: Introduction (Friday, April 7)
- Getting a dataset into Stata (no previous knowledge expected)
- Examining a dataset and finding variables of interest
- Summarizing and tabulating variables
- Stata specific tools and resources (do files, logs, help files, etc.)
- Coding and cleaning data (making new variables from old variables; labeling variables and values, etc.)
- Using logical operators in Stata
Part 2: Data Analysis in Stata (Friday, April 14)
- OLS and logistic regression (basic syntax, using interaction terms, interpreting output)
- Visualization (histograms, bar graphs, scatter plots)
- Regression postestimation (getting predicted values, basic graphs)
- Merging and appending datasets
Part 3: Stata Programming (Friday, April 21)
- Local and global variables (macros)
- Looping (foreach, forvalues)
- Reshaping data between wide and long formats
- Recalling and using command output
- Generating nicely formatted journal-style tables
Prior knowledge: A basic understanding of variables (nominal, ordinal, continuous), descriptive stats (mean, standard deviation), correlation, and regression will be assumed.
Technology requirement: Please bring a laptop with Stata installed. You can install a trial version of Stata. Please arrive 15 minutes early for installation assistance.
Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately.