Citation: Shear, B. R., Whitfield, E., & Nath, K. (2025). Investigating the relationship between sample size and reliability of aggregate test score measures in ...

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Reliable samples are vital for generating scientifically valid, high quality data. Without rigorous scrutiny of samples, it is impossible for a researcher to truly understand what is behind the ...

All manufacturing and development companies perform testing and/or inspections that involve concluding whether or not a product or lot is acceptable vs. design or QC ...

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...

Back in the day, we learned in statistics that you need a sample size of at least 2% of the size of population to make statistically significant conclusions about the behavior of the population. In ...