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It is best if you make yourself a short list of 4 or 5 bullet points that you are going to try and address during the study.
It is valid to conduct case studies but they should be tied in with more general statistical processes.
For example, a statistical survey might show how much time people spend talking on mobile phones, but it is case studies of a narrow group that will determine why this is so.
On the other hand, it is argued that a case study provides more realistic responses than a purely statistical survey.
The truth probably lies between the two and it is probably best to try and synergize the two approaches.
Use examples in your narrative whilst keeping things concise and interesting.
It is useful to show some numerical data but remember that you are only trying to judge trends and not analyze every last piece of data.
The other main thing to remember during case studies is their flexibility.
Whilst a pure scientist is trying to prove or disprove a hypothesis, a case study might introduce new and unexpected results during its course, and lead to research taking new directions.
This method of study is especially useful for trying to test theoretical models by using them in real world situations.
For example, if an anthropologist were to live amongst a remote tribe, whilst their observations might produce no quantitative data, they are still useful to science.