What is the impact of sample size on research results?
The sample size significantly affects 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 capture more variability in the data, which leads to more generalizable results. It also increases the statistical power of the study.
Are there any downsides to having a very large sample size?
Yes, while larger sample sizes can improve accuracy, they can also lead to increased costs and time. Additionally, if the sample is not representative, it can still yield misleading results.
How do I determine the right sample size for my study?
Determining the right sample size depends on several factors, including the desired confidence level, the expected effect size, and the population variability. Statistical formulas and software can help calculate the appropriate size.
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