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This question is about what a survey analyst does.
What is a cross-sectional survey?
A cross-sectional survey studies the research results of a large population at a specific time. Unlike other forms of research, cross-sectional results are a snapshot that you can take at any time during the research process.
Often used in the medical research community, cross-sectional surveys or research often focus on a disease or reaction to a new drug across a wide range of patients. While many studies limit the scope of their research to a specific age group, gender, or ethnicity, cross-sectional studies include all groups in their results.
The benefits of using this type of research tool are that it is inexpensive and can be conducted relatively quickly. Researchers do not have to sift through candidates in search of only those who fall within the parameters of their target group.
You can then use this research to prove or disprove assumptions made as a result of a more narrowly focused study, as cross-sectional surveys are inclusive.
The most significant flaw of this type of survey is that it speaks only to differences that appear among its various subjects. There is no way to track changes or trace the cause-and-effect relationship of the information gathered from the snapshot.
The timing of the snapshot may also not be objectively representative. An example of this can be seen in a housing market survey from a snapshot taken after interest rates have been raised.
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