If the road is not yet clear to you,
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Many researchers claim to have a representative response when their sample is large enough. Two mistakes can already be found in this vision. First, the sample size is not related to representativeness. And second, the size of the sample is not the problem. The problem that counts is the size of the response.
Now, you might be worried. Maybe you should be.
Another way to calculate the sample size is to calculate an estimated proportion with a confidence interval of 95%. Based on the standard calculations, the result is always a sample size of 384.1 or 385. This view also does not stand in a critical discussion. In many studies, estimating a proportion is not important. It is therefore not a reason to calculate the sample size based on the estimation of a proportion.
The correct way to calculate the sample size is much more complex. And by the way, the right way does not exist.
This paper explains how to deal with the problem of sample size. Read it and discover how you can apply the solution to your research.
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My goal is to teach you how to conduct good research.
Because:
Good research provides you with better information.
With better information, you can make better decisions.
With better decisions, you can create a healthier, wealthier and freer world,
for people, fauna and flora, for current and future generations.
That is why I think it is important that you know how to do your research well.