Zoom LinkTo obtain the Zoom link for this workshop please click the link below:https://berkeley.zoom.us/meeting/register/tJAvcu2vqDMpHNbx5dkvXw_rMdY5O_pKbySe After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.If you have questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu
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
- Cross-tabulations
Part 2: Data Analysis in Stata
- 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
- 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.
Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately.
