Significance testing controversies

Significance testing controversies focus on the reliability of statistical methods used to determine whether study results are meaningful. Critics argue that relying solely on p-values can lead to misleading conclusions, as these values can fluctuate based on sample size or experimental design. This has raised concerns about reproducibility in research findings. Additionally, some researchers suggest emphasizing effect sizes and confidence intervals, which provide a clearer picture of the data's implications. Overall, the debate highlights the need for more rigorous and transparent practices in scientific research to ensure valid interpretations of data.