Importance of sample size?
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The importance of sample size in research studies involves reducing variability and increasing the reliability of results. explains that a larger sample size reduces variability in a dataset. For example, measuring only a few individuals can yield skewed results, but increasing the sample size provides a more accurate representation and decreases variation 1.
Additionally, in epidemiological studies, enormous sample sizes offer significant power despite the inability to perform randomized assignment studies on large populations. This compensates for biases by allowing infinite duration and cost-effective large-scale observations 2.
Even so, it's essential to balance the sample size to avoid overpowering a study which can lead to statistical significance in results that aren't clinically significant. Properly powered studies ensure a balance where results are both statistically and clinically relevant 3.
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