We’ve often been asked if we could offer a class on the foundations of research methods and design. We’re thus excited to offer Applied Research Design Using Mixed Methods by Greg Guest, acclaimed research scientist and instructor (and proud Canadian). Below, Greg tells us about his background, his class, and what he hopes participants will gain from taking the workshop.
ROC curves are used to identify cut points on continuous measures at which to make binary decisions. An example is a depression screener used to identify people who may qualify for a major depression diagnosis. This post explains the concepts behind ROC curves and how they are used for decision making.
Selecting the number of classes (or components) is one of the most challenging decisions to make when fitting a finite mixture model (including latent class analysis and latent profile analysis). In this post, we talk through the conventional wisdom on class enumeration, as well as when this breaks down.