How does bias affect sample size in research?

How does bias affect sample size in research?

Bias can significantly impact sample size by skewing results, leading to either overestimation or underestimation of the required sample.

Can you give an example of bias affecting sample size?

Sure! If a study only includes participants from a specific demographic, it may require a larger sample size to generalize findings.

What types of bias should researchers be aware of?

Researchers should be aware of selection bias, measurement bias, and response bias, as each can distort sample size needs.

How can researchers minimize bias in their studies?

They can use random sampling, ensure diverse participant selection, and apply blinding techniques to reduce bias.

Is there a formula to calculate the sample size needed?

Yes, sample size can be calculated using formulas that consider the population size, margin of error, and confidence level.