## What are ROC curves and how are these used to aid decision making?

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 ident…

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 ident…

This post considers the unique features of intensive longitudinal data (ILD) relative to other more traditional data structures and how we can appropr…

Selecting the number of classes (or components) is one of the most challenging decisions to make when fitting a finite mixture model (including latent…

We explain the difference between principal components analysis and exploratory factor analysis

Received the cryptic warning message "G matrix is non-positive definite"? Learn what this means and what to do about it.

Why between-group effects estimating in MLMs are sometimes biased, and what to do about it

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” th…

Missing data are a common problem faced by nearly all data analysts, particularly with the increasing emphasis on the collection of repeated assessments over time.…

The issue of reliability can be a complex and often misunderstood issue. Entire text books have been written about reliability, validity, and scale construction, so…