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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
Currently Selected Section: 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: Online Exploratory Analyses
          

Web-based tools now allow a researcher to conduct preliminary analyses online. MEPSnet provides access to data from both the Household and Insurance components of MEPS. Following on-line instructions, the investigator can select a data year and variables of interest and has the option of re-coding variables and generating statistics on population subgroups of interest. A selection of descriptive statistics is available for univariate analyses and n-way tables for up to three variables. The investigator can generate frequencies for categorical variables and the minimum, maximum, sum, mean, median, quartiles, and deciles of continuous variables. The program can also calculate the ratio of one variable to another. Both un-weighted and weighted statistics can be requested, as well as standard errors. Click here for an example of how to use MEPSnet. Links to survey documentation and the survey codebook are available.

Researchers who have access to the Inter-university Consortium for Political and Social Research (ICPSR) can analyze approximately 50 data sets online, including the Longitudinal Survey on Aging and the National Health Interview Survey, Second Supplement on Aging. The investigator may browse the codebook, questionnaire, or other documentation for a given dataset. It is possible to perform certain statistical procedures on line. In addition to calculating frequencies and cross-tabulations, researchers can compare means, create a correlation matrix, and do ordinary least squares regressions. By specifying variables and subgroups of interest, a researcher can create a customized file to be downloaded from the Web site for further analysis.

Using these tools can help a researcher efficiently assess the feasibility of using a particular dataset to answer the proposed study question, and provide the information to assess sample size and conduct power calculations.

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