Skip to Content
Interactive Textbook on Clinical Symptom Research Logo


Home Button

Secondary Analysis of Large Survey Database
Author Bio
Why Conduct Secondary Anaylsis
Advantages of Survey Data
Avoiding the Pitfalls
Start with the Research Question
Determine Variables of Interest
Identify and Evaluate the Data Source
Get the Data
Survey Design
Sampling Frame
Telephone Surveys
Followback Surveys
Multistage Cluster Samples
What is a Panel Design
Mode of Survey Administration
Survey Instruments
CodeBooks
Online Exploratory Analysis
Potential Sources of Error
Cultural Nonequivalence
Currently Selected Section: Analysis of Survey Data
Cluster and Stratified Samples
Using Sample Weights
Missing Data
Power Calculations
Linking Data Sources
Multiple Comparisons
Getting Help
Giving Feedback
Conclusion
Chapter 20: Secondary Analysis of Large Survey Database: Analysis of Survey Data
          

Analysis of survey data needs to account for important design parameters, all of which can be addressed with statistical software such as Stata, SAS, SUDAAN, or WesVar:

  • Survey weights (probability of selection), and
  • Cluster and stratified sampling.
Page 21 of 30
      Previous Section