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
Analysis of Survey Data
Cluster and Stratified Samples
Using Sample Weights
Missing Data
Power Calculations
Linking Data Sources
Multiple Comparisons
Getting Help
Giving Feedback
Currently Selected Section: Conclusion
Chapter 20: Secondary Analysis of Large Survey Database: Conclusion
          

Large secondary survey databases, alone or linked to other data sources, are a valuable and readily available resource for research on health outcomes and effectiveness of care. Further, a systematic approach to study design and data analysis can provide timely answers to important questions that cannot be readily answered using other methods. Time invested in choosing the appropriate data source to answer the study question, and in understanding the design, capacity, and limitations of the selected survey is an essential element of the research process. The resources reviewed in this chapter, and others, are available to help researchers access, understand and analyze these data. Findings from this research can provide new evidence and generate hypotheses that can be tested through other methods.

Page 30 of 30
      Previous Section