Quantitative data collection methods - Secondary analysis
3 important questions on Quantitative data collection methods - Secondary analysis
Advantages secondary analysis (reusing data)
- Saving time
- Financial advantages
- Availability of the data
- Usability
Disadvantages secondary analysis (reusing data)
- You don't have control over the data
- The questionnaires have been designed and completed, and the dataset has already been created
- You have to find better solutions for any errors that may have occurred during original data collection
- It may be that you have to adjust the central question in your secondary analysis to be able to use a particular dataset
- Often data has to be thoroughly processed before it can be used for further analysis
What is the difference between secondary and meta-analysis
When you do secondary analysis, you analyze the data gathered by other researchers in one database. When you do meta-analysis you collect complete databases before going on to compare them
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