Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

One FAQ released this week discusses the validation of employee selection procedures and, most notably, how OFCCP will assess the validity of selection tools built on AI and other “‘new technology’ ...

Citations: McShane, Blake, Andrew Gelman. 2022. Selecting on Statistical Significance and Practical Importance Is Wrong. Journal of Information Technology. (3)312-315.

In response to the increasing call by professional organizations, journal editors, and statisticians to include not only derived significance levels from quantitative statistical procedures but also ...

Every research lab is constantly innovating; either by creating something new or by understanding the equations and statistics underlying each vital subject, the stakes are high. With trillions of ...

From all my years in research and consulting, I think I’ve learned a thing or two about marketing worth sharing. Enduring fundamentals, mostly—yet often overlooked. So, over the course of my biweekly ...