Stat Computing > Stata > Topics

Stata Topics
Survey Data Analysis

These pages contain links from all parts of our web site and others web sites on survey data analysis.  The topics will vary from introductory to advanced.

• Choosing the Correct Analysis for Various Survey Designs
• Stata Online Classes and Seminars
  • Survey Data Analysis with Stata with movies
  • Introduction to Survey Data Analysis with Stata 9
  • Applied Survey Data Analysis with Stata 9 with movie and mp3
• Stata Textbook Examples
  • Sampling of Populations: Methods and Applications, Third Edition by Paul Levy and Stanley Lemeshow
  • Practical Methods for Design and Analysis of Complex Surveys, Revised Edition by Risto Lehtonen and Erkki Pahkinen
  • Elementary Survey Sampling, Fifth Edition by Scheaffer, Mendenhall and Ott
  • Sampling:  Design and Analysis by Sharon L. Lohr
• Stata Frequently Asked Questions
  • How do I use the Stata survey (svy:) commands?
  • Sample setups for commonly used survey data sets
  • Choosing the Correct Analysis for Various Survey Designs
  • How can I check for collinearity in survey regression?
  • How can I do a t-test with survey data?
  • How can the standard errors with the cluster() option be smaller than those without the cluster() option? (from Stata FAQs)
  • Do the svy commands handle zero weights differently than non-svy commands? (from Stata FAQs)
  • How can I draw a simple random sample of my data?
  • How can I analyze a subpopulation of my survey data in Stata 9 and 10?
• Stata Library
  • Survey sampling examples in Stata 9
  • Survey sampling examples in Stata 8
  • Replicate weights
  • Analyzing correlated (clustered) data
• Stata Code Fragments
  • Merging the NSAF data sets
• Additional Resources
• Statistics Books for Loan on Survey Sampling and Analysis
• Statistics Papers for Download on Survey Research 

UCLA Researchers are invited to our Statistical Consulting Services
We recommend others to our list of Other Resources for Statistical Computing Help
These pages are Copyrighted (c) by UCLA Academic Technology Services