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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
Currently Selected Section: 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
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: Sampling Frame
          

In surveys, samples of potential respondents are drawn to represent the target population of interest. The sampling frame is the list of the population from which the sample is drawn. The sampling frame may consist of:

In order to make inferences from survey data, the researcher must understand how the sampling frame defines the population represented, as well as which population groups are excluded. For example, MEPS and MCBS use different sampling frames and therefore although both surveys are nationally representative, they represent different populations.

 

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