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When & Where
Fri, April 21, 2017 - 10:00 AM to 1:00 PM
Barrows 371: D-Lab Breakout Room

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
  • Cross-tabulations

Part 2: Data Analysis in Stata (Friday, April 14)

  • Correlation
  • T-tests
  • 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.


Training Host: 
Format Detail: 
Interactive, hands-on
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