Quantitude

In today’s episode, Patrick and Greg talk about the challenge of having causal indicators of formative factors within an analytical framework that is historically dominated by effect indicators and l…

In today’s episode, Patrick and Greg talk about fun extensions to the basic confirmatory factor model, including higher order models, bifactor or residualized models, and multitrait-multimethod model…

In this week’s episode Greg and Patrick take advantage of the recent expiration of a statute of limitations that legally allows them to talk about the multilevel model: what it is, when we might use …

In this week's episode Patrick and Greg enlist the help of six quantitative methodological scholars, who share a wide variety of fertile ground for quantitative research, which should be useful for s…

In this week's episode Patrick and Greg plumb the depths of what is a dissertation and what purpose does it serve. They are aided in the use of an AI language interpreter to translate old man grousin…

In this week’s episode, Greg and Patrick talk about the terrifying, the feared, the dreaded … Multicollinearity. Blamed for a multitude of general linear model problems, they dare to ask the question…

In this week's episode, the first of Season 5, Patrick and Greg explore the very cool world of receiver operating characteristic, or ROC, curves: what they are, how they work, and why we can give par…

In the last episode of season 4, Greg and Patrick discuss the very cool exploratory technique of cluster analysis — including concepts of multivariate distance, hierarchical and non-hierarchical meth…

In this week's episode Patrick and Greg talk about the critical and often unmet assumptions underlying the use of measured variables at multiple time points, whether for simple analyses like tests of…

In this week's episode Greg and Patrick are joined by Christen Priddie of Indiana University who will help them learn a bit about QuantCrit: its foundations, its purpose, and how it can enrich the qu…

In honor of April Fool's Day, this week's episode is about being fooled, specifically quantitative things that can fool you, accompanied by some classic songs about being fooled.  Along the way, Greg…

In this week's episode Patrick and Greg talk about exploratory structural equation modeling (ESEM), a technique drawing upon the strengths of exploratory and confirmatory factor analysis methods and …

In this week's episode Greg and Patrick talk with Dr. Ellen Hamaker from Utrecht University about the exciting and growing area of dynamic structural equation models. They discuss its tremendous subs…

In this week's episode Patrick and Greg discuss the dark art of using regression diagnostics to assess how well assumptions are met in the general linear model, with applications to the wide array of…

In this week's episode, Greg and Patrick talk about what you can do when latent variables conspire to multiplicatively interact, focusing on the classic product indicator approach and the more recent…

In this week's episode Patrick and Greg discuss variable transformations, both linear and non-linear, and explore the potential pros and cons of using these in applied research settings. Along the wa…

In this week's episode Patrick and Greg talk about an alternative to familywise Type I error control, the false discovery rate, and how it offers increased power in that middle ground between no erro…

In this week's episode Greg and Patrick discuss how we might flip the traditional null and alternative hypothesis testing procedures to move us from tests of literal equality to tests of practical eq…

In this week's episode Patrick and Greg explore all the ways they lie about things when they teach, not the least of which is that there are actually no individual growth trajectories estimated in an…

In this week's episode Greg and Patrick revisit a topic they addressed in their 2nd-ever episode: statistical power. Here they continue their discussion by attempting to clarify the power of what, an…