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 and reduces the margin of error.
How does sample size vary across different research fields?
Sample size requirements can vary significantly. For instance, clinical trials often require larger samples to ensure statistical power, while qualitative research may use smaller, more focused samples.
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.
Can you give examples of sample sizes used in specific fields?
Sure! In psychology, studies might use 30-100 participants, while in epidemiology, thousands may be needed to detect disease prevalence.
What happens if the sample size is too small?
A small sample size can lead to unreliable results, increased variability, and a higher risk of Type I and Type II errors.
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