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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
Currently Selected Section: Potential Sources of Error
Cultural Nonequivalence
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: Potential Sources of Error
          

Survey error is the extent to which findings from the survey sample differ from those of the population of interest. The large nationally representative surveys discussed here are designed to minimize error. Nevertheless, it is impossible to eliminate all of the multiple potential sources of error. Investigators must identify and consider how potential survey error can bias the results of their analyses. Statistical strategies can minimize the impact of these potential sources of error on study findings.

Click on the following types of errors for more detail:


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