One question that seems to come up pretty often is: What is the difference between logistic and probit regression? Well, let’s start with how they’re the same: Both are types of generalized linear models. This means they have this form:

Read the full article →
We often talk about nested factors in mixed models — students nested in classes, observations nested within subject.

But in all but the simplest designs, it’s not that straightforward.

In this webinar, you’ll learn the difference between crossed and nested factors.

We’ll walk through a number of examples of different designs from real studies to pull apart which factors are crossed, which are nested, and which are somewhere in between. We’ll also talk about a few classic designs, like split plots, Latin squares, and hierarchical data.

Particular focus will be on how you can figure all this out in your own design and how it affects how you can and cannot analyze the data.

Read the full article →