Finally, one peripheral point is that, when informing others of your results, case studies make more interesting topics than purely statistical surveys, something that has been realized by teachers and magazine editors for many years.
The general public has little interest in pages of statistical calculations but some well placed case studies can have a strong impact.
A case study on one or two specific countries becomes a powerful and focused tool for determining the social and economic pressures driving this.
In the design of a case study, it is important to plan and design how you are going to address the study and make sure that all collected data is relevant.
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.
On the other hand, it is argued that a case study provides more realistic responses than a purely statistical survey.
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.
The argument between case study and statistical method also appears to be one of scale.
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.