Event date
Friday, February 7, 2020
Event time
1:00pm to 4:00pm
356B Barrows Hall (D-Lab Convening Room)

This three-part series will cover the following materials:
Part 1:  Introduction

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 

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

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.
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