Member Training: Moving to a World Beyond p<0.05

August 2nd, 2021 by

Stage 1

For nearly a hundred years the concept of “statistical significance” has been fundamental to statistics and to science. And for nearly that long, it has been controversial and misused as well. (more…)

The Difference Between Model Assumptions, Inference Assumptions, and Data Issues

December 23rd, 2020 by

Have you ever compared the list of model assumptions for linear regression across two sources? Whether they’re textbooks, lecture Stage 2notes, or web pages, chances are the assumptions don’t quite line up.

Why? Sometimes the authors use different terminology. So it just looks different.

And sometimes they’re including not only model assumptions, but inference assumptions and data issues. All are important, but understanding the role of each can help you understand what applies in your situation.


Member Training: Inference and p-values and Statistical Significance, Oh My!

September 1st, 2020 by

Statistical inference using hypothesis testing is ubiquitous in science. Several misconceptions and misinterpretations of p-values have arisen over the years, which can lead to challenges communicating the correct interpretation of results.