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 ...

It’s too often misused and misunderstood. by Amy Gallo When you run an experiment or analyze data, you want to know if your findings are “significant.” But business relevance (i.e., practical ...

The perennial question facing all banks is, “What volume of lending in Majority-Minority census tracts and mortgages extended to minority home borrowers must we do to avoid redlining allegations by ...

In the middle of the 20 th century, the field of psychology had a problem. In the wake of the Manhattan Project and in the early days of the space race, the so-called “hard sciences” were producing ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null hypothesis ...

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

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 ...

Question: What do we learn from a study that shows a technique or technology likely has affected an educational outcome? Answer: Not nearly enough. Despite widespread criticism, the field of education ...

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’ ...