It is valid to conduct case studies but they should be tied in with more general statistical processes.
Scientists are sometimes guilty of becoming bogged down in the general picture and it is sometimes important to understand specific cases and ensure a more holistic approach to research. M.: An example of a study using the case study research design.
Some argue that because a case study is such a narrow field that its results cannot be extrapolated to fit an entire question and that they show only one narrow example.
The first foundation of the case study is the subject and relevance.
In a case study, you are deliberately trying to isolate a small study group, one individual case or one particular population.
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.Whilst it will not answer a question completely, it will give some indications and allow further elaboration and hypothesis creation on a subject.The case study research design is also useful for testing whether scientific theories and models actually work in the real world.You may come out with a great computer model for describing how the ecosystem of a rock pool works but it is only by trying it out on a real life pool that you can see if it is a realistic simulation.For psychologists, anthropologists and social scientists they have been regarded as a valid method of research for many years.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.This may be an attempt to test a theory with a typical case or it can be a specific topic that is of interest.Research should be thorough and note taking should be meticulous and systematic.Analyzing results for a case study tends to be more opinion based than statistical methods.The usual idea is to try and collate your data into a manageable form and construct a narrative around it.