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 framework, along with any other latent factors and their effect indicators that might already be in the model. Along the way they also discuss full-contact Wordle, […]
S5E08 Confirmatory Composite Analysis: Enter the Hexagon Read More »
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 latent factors — and the critical importance of getting your arrows right. Along the way they also mention: self help books, habits, Hagrid and the giants,
S5E07 Perspectives on Formative Factors & Causal Indicators Read More »
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 models. Along the way they also discuss microscope lab, burning ants, substitute teaching, Cool or Creepy?, Monet, Clueless, haystacks, hotdogs, What are you thinking?, pennies and pounds, party like
S5E06 Advanced Factor Structures Read More »
In this week’s episode Greg and Patrick take advantage of a recent expiration of a statute of limitations that legally allows them to talk about the multilevel model: what it is, when we might use it, and extremely cool extensions that it allows. Along the way they also discuss hostile federal judges, McNeish, airing of
S5E05 Multilevel Models Unleashed Read More »
In this week’s episode Greg and Patrick enlist the help of six quantitative methodological scholars who share a wide variety of fertile ground for quantitative research which should be useful for students seeking dissertation topics as well as anyone interested in active methodological areas. Along the way they also discuss Kill Bill, The Waltons (with
S5E04 Dissertations: Quant Ideas From Actual Experts Read More »
In this week’s episode Greg and Patrick 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 grousing to positive and supportive advice for students as we discuss the strengths and weaknesses of a dissertation project.
S5E03 The DON’Ts and DOs of Dissertations Read More »
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: “But should it be?” Along the way they also mention: having your stump ground out, fall guys, Keyser Soze, croissants and breadsticks, baguettes
S5E02 Multicollinearity: The Usual Suspect Read More »
In this week’s episode, the first for Season 5, Greg and Patrick explore the very cool world of receiver operating characteristic, or ROC, curves: what they are, how they work, and why we can give partial thanks to Winston Churchill for their existence. Along the way they also discuss advent calendars, lasagna for 8, honey
S5E01 Receiver Operating Characteristic (ROC) Curves Read More »
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 methods, and how it differs from mixture models. Along the way they also mention: Scandinavian architects, raccoons on meth, vegetarian hotdogs, sh*t-ton of do-loops, free-range jam, statistical
S4E25 Cluster Analysis Read More »
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 means or more complex analyses like modeling individual growth. Along the way they also mention: following your blocker, Pascal’s wager, Wikipedia empathy, ham
S4E24 Longitudinal Measurement Invariance Read More »
