What is the importance of sample size in research?

What is the importance of sample size in research?

Sample size is crucial as it affects the reliability and validity of research results. A larger sample size generally leads to more accurate estimates.

How does sample size vary across different fields?

In fields like medicine, larger sample sizes are often needed to detect small effects, while in social sciences, smaller samples may suffice for exploratory studies.

Can you give examples of sample sizes used in different studies?

Sure! For clinical trials, sample sizes can range from hundreds to thousands, while qualitative studies might use as few as 10-30 participants.

What factors influence the determination of sample size?

Factors include the research design, population variability, desired confidence level, and the effect size you aim to detect.

Is there a formula to calculate sample size?

Yes, there are several formulas depending on the study type, but a common one is: n = (Z^2 * p * (1-p)) / E^2, where n is sample size, Z is the Z-value, p is the estimated proportion, and E is the margin of error.