Quantitude

In this week's episode Patrick and Greg talk about different ways of assessing inter-rater agreement and reliability among two or more raters and the importance of doing so. Along the way they also d…

In this week's episode, the first of Season 6, Greg and Patrick visit with Dr. Ethan McCormick, an Assistant Professor of Educational Statistics and Data Science in the School of Education at the Uni…

In this week’s episode, our 150th and the last of season 5, Greg and Patrick hear from five people at different stages of their academic journey, who share some of their concerns about a career in ac…

In this week's episode Patrick and Greg somehow manage to tie together pretending to be sick with game shows with zombies with conspiracy boards to explore the remarkable inter-relations among probab…

In this week's episode Greg and Patrick talk about both structural equation modeling and directed acyclic graphs, or DAGs, where they are similar and where they are different, and try to provide a Ro…

In this week's episode Patrick and Greg explore the incredibly cool topic of survival analysis, which is a set of techniques that allows for powerful tests of predictors of the amount of time to expe…

In this week's episode, Greg and Patrick talk about the challenges of combining confirmatory factor analysis and multilevel data, and the underappreciated but absolutely critical role that theory pla…

In this week's episode Greg and Patrick discuss the assessment of global vs. local model fit and they argue that although global measures of fit can be useful, carefully assessing local fit may be of…

In this week's episode Patrick and Greg provide an introduction to the Item Response Theory model: what it is, how it relates to traditional factor analysis, and how this modem approach improves upon…

In this week’s episode, Patrick and Greg play with some of the basics of probability in the context of some classic, fun, and often counterintuitive examples.  Along the way they also discuss argumen…

In this week's episode Greg and Patrick are honored to visit with Yi Feng, a quantitative methodologist at UCLA, as she helps them understand classification and regression tree analysis. She describe…

In this week's episode Greg and Patrick talk about Simpson’s Paradox: what it is, examples of where it occurs in real life, and why we might not really need to think about it as a paradox at all.  Al…

In this week's episode Greg and Patrick take a walk down memory lane to rediscover classical test theory,  although they revisit this through the lens of modern latent variable models. They describe …

In this week's episode Patrick and Greg launch a new occasional series called Stuff You Should Know. The topic for today is regression to the mean: what the heck is it, how does it arise in every day…

In this week's episode Greg and Patrick talk about confidence intervals: symmetric and asymmetric, asymptotic and bootstrapped, how to interpret them, and how not to interpret them. Along the way the…

In this week's episode Patrick and Greg have great fun talking about meta-analysis with Paschal Sheeran, a social psychologist from the University of North Carolina at Chapel Hill. He describes what …

In this week's episode, marking the fifth Quantitude Holiday Celebration, Greg and Patrick argue about their favorite holiday movies, including whether Die Hard counts as one or not; they then procee…

In this week's episode Greg and Patrick explore alternative parameterizations of the SEM-based latent curve model to capture various forms of nonlinearity, some that are approximations and others tha…

In today’s episode Greg and Patrick talk about regularization, which includes ridge, LASSO, and elastic net procedures for variable selection within the general linear model and beyond. Along the way…

In today’s episode, Greg and Patrick dig into Confirmatory Composite Analysis, a very clever way to get formative factors and their causal indicators into the traditional structural equation modeling…