What is the importance of sample size in research studies?
Sample size is crucial because it affects the reliability and validity of the study's results. A larger sample size generally leads to more accurate estimates of the population parameters.
How do I determine the right sample size for my study?
To determine the right sample size, consider factors like the population size, the margin of error you can accept, the confidence level, and the expected effect size.
Can you give me examples of different sample sizes used in studies?
Sure! For instance, a clinical trial might use a sample size of 1000 participants, while a qualitative study might only need 30 participants to gather in-depth insights.
What happens if my sample size is too small?
If your sample size is too small, the results may not be statistically significant, leading to unreliable conclusions and a higher risk of Type I and Type II errors.
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