Stata

Introduction to Stata

1. Stata’s Interface
2. Structure of a Stata Data Set
3. Elements of Stata Syntax
4. Do Files
5. Statistics
6. Data Visualization
7. Creating and Changing Variables

“Data Wrangling” is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else that needs to be done before it can be analyzed. Data wrangling is a critical skill for quantitative research.

• Data Wrangling in Stata
  1. Stata Review
  2. Reading in Data
  3. First Steps With Your Data
  4. Variable Transformations With Numeric Data
  5. Variable Transformations with Hierarchical (Grouped) Data
  6. Restructuring Data Sets
  7. Combining Datasets
  8. Project Management
  9. Learning More
• Stata Macros and Loops
• Working with Dates and Times in Stata
• Working with Text Data (Strings) in Stata
• Stata Programming Tools
• Stata Tools for Reading Data from Web Pages
• Stata Programming Techniques for Panel Data
• Using Reshape to Manage Hierarchical Data

• Tables in Stata
• Real-World Stata Tables
• Bar Graphs in Stata
• An Introduction to Stata Graphics
• Using Stata Graphs in Documents

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• Stata Regression Fundamentals
• Regression Diagnostics with Stata
• Propensity Score Matching in Stata using teffects
• Multiple Imputation in Stata
  1. Introduction
  2. Deciding to Impute
  3. Creating Imputation Models
  4. Imputing
  5. Managing Multiply Imputed Data
  6. Estimating
  7. Examples
  8. Recommended Readings
• Exploring Regression Results using Margins
• Bootstrapping in Stata
• An Introduction to Mata
• Speeding up Multiple Imputation in Stata using Parallel Processing
• Making Predictions with Counter-Factual Data in Stata
• Stata Programming Tools
• Panel Models in Stata and R

• Running Stata on SSCC Servers
• Running Stata/MP at the SSCC
• Finding and Installing User-Written Stata Programs
• Reducing Stata’s Memory Usage
• Converting Stata Loops to Parallel Loops Using Slurm (The Easy Way)

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These articles are designed for undergraduates taking social science statistics classes, but can be a useful reference for anyone.

• Stata for Students
  1. Introduction
  2. Where You Can Use Stata
  3. Managing Stata Files
  4. Doing Your Work Using Do Files
  5. Stata’s User Interface
  6. Stata Data Sets
  7. How Stata Commands Work
  8. Comments and Other Tools for Making Do Files Readable
  9. Creating Variables
  10. Using Graphs
  11. Reading Data from a Spreadsheet or CSV File
  12. Downloading Data from Qualtrics and Importing it into Stata
  13. Descriptive Statistics
  14. Graphs
  15. Means and Confidence Intervals
  16. t-tests
  17. Scatterplots
  18. Correlations