From May 6 to 8, CBA conducted a free 3-day Introduction to Structural Equation Modeling webinar, drawing participants from all around the world. Just for fun, we generated the map below to show the countries of origin of participants. To receive notices about future workshop offerings like this, follow us on twitter or facebook or subscribe to our newsletter (“Receive Email Updates” in page footer).
Received the cryptic warning message “G matrix is non-positive definite”? Learn what this means and what to do about it.
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
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.
How to specify multilevel models to obtain within- and between-group effects through centering lower-level predictors.
An equivalent model can be thought of as a re-parameterization of the original model. In other words, it is just a different way of “packaging” the same information in the data and no equivalent model can be distinguished from another based on fit alone. If you were to fit a series of equivalent models to the same sample data you obtain exactly the same chi-square test statistic, RMSEA, CFI, TLI, and any other omnibus measure of fit. It is often best to treat this as a limitation of any given study and to potentially present one or a small number of equivalent model options to the reader so that these too might be considered as plausible representations of the data.
