What Methods Can Mitigate Small Sample Size Issues?
Several strategies can help mitigate the issues associated with small sample sizes:
Advanced Statistical Techniques: Methods such as Bayesian statistics and bootstrapping can provide more reliable estimates from small samples. Meta-Analysis: Combining results from multiple small studies through meta-analysis can increase the overall sample size and enhance generalizability. Careful Study Design: Designing studies to minimize bias and control confounding variables can improve the reliability of results from small samples.