What is the suggested minimal sample size for correlational research?

The suggested minimal sample size for correlational research is typically around 30, based on statistical principles and the Central Limit Theorem. This number provides a sufficient amount of data to ensure that the results are reliable and that the correlation coefficients calculated from the sample can be generalized to the population. Having at least 30 participants allows for a more robust analysis, reducing the margin of error and increasing the statistical power of the tests being employed.

While smaller samples might yield some insights, they often result in unstable estimates that can lead to misleading conclusions. Additionally, larger samples tend to provide better representation of the population, thus enabling more accurate correlation analyses. Consequently, using a sample size of 30 or more is advisable to achieve meaningful results in correlational studies.