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.