What is Sample Size?

Sample size refers to the number of participants included in a study, which is crucial for ensuring the reliability and validity of the research findings. It determines how well the sample can represent the larger population and can significantly affect the statistical power of the study.

When to use Sample Size?

Consider using sample size calculations when designing a study to ensure that you have enough participants to detect a statistically significant effect. It is particularly important in user research to avoid underpowered studies that may lead to inconclusive results.

When not to use Sample Size?

Avoid rigid adherence to sample size rules when the research context allows for qualitative insights or when exploratory research is being conducted. In cases where the focus is on depth rather than breadth, a smaller, more targeted sample may be more appropriate.

What is the anatomy of Sample Size?

The anatomy of sample size includes factors such as the population size, the desired confidence level, the margin of error, and the expected effect size. These elements help researchers determine the optimal number of participants needed to achieve reliable and meaningful results.