Show pageBacklinksCite current pageExport to PDFFold/unfold allBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. "Statistical rigor" refers to the strict application of statistical methods and principles to ensure that data analysis is accurate, unbiased, and reproducible. In both research and practice, it means: Proper study design: Using appropriate sampling methods, controls, and randomization. Correct statistical tests: Choosing and justifying the right tests based on the data and research question. Transparency: Clearly reporting methods, assumptions, and limitations. Reproducibility: Allowing others to repeat the analysis and get the same results. Avoiding p-hacking: Not manipulating data or selectively reporting results to find significance. In short, statistical rigor safeguards the validity and reliability of conclusions drawn from data. statistical_rigor.txt Last modified: 2025/05/01 22:19by administrador