What are the effects of sample size in research?

What are the effects of sample size in research?

Sample size significantly impacts the reliability and validity of research results. A larger sample size generally leads to more accurate estimates and reduces the margin of error.

Why is a larger sample size better?

A larger sample size helps to better represent the population, reduces variability, and increases the power of statistical tests, making it easier to detect true effects.

Are there any downsides to having a very large sample size?

Yes, while larger samples can improve accuracy, they can also lead to increased costs, longer data collection times, and potential overfitting in some analyses.

How do I determine the right sample size for my study?

Determining the right sample size depends on factors like the desired confidence level, margin of error, population size, and the expected effect size. Statistical power analysis can help.