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.
We explain the difference between principal components analysis and exploratory factor analysis
This post considers the unique features of intensive longitudinal data (ILD) relative to other more traditional data structures and how we can appropriately analyze ILD given these features
How to specify multilevel models to obtain within- and between-group effects through centering lower-level predictors.
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.
Why between-group effects estimating in MLMs are sometimes biased, and what to do about it
