*Why is data analysis concerned with data reduction?
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Answer:
Because we need to make sense of the data
Explanation:
When we look at all the data gathered, we then need to group similar bits of qualitative data into categories and themes, and quantitative data into tables and averages, so that we can see it more clearly. Literally, we make sense of the data in a process called 'data reduction'. Answer (c) is incorrect, because the repetition of responses across the sample might prove to be, itself, very interesting. Most research suffers from having too little data, rather than too much, at least of the desired kind. Finally, exceeding the sample size can never be bad if the additional cases satisfy the selection criteria
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why is data analysis concerned with data reduction
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