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 »
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 quantitative methods process to which we might have become a little *too* accustomed. Along the way they also mention unknown unknowns,
S4E23 QuantCrit: A Conversation With Christen Priddie Read More »
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 and Patrick also discuss ukus, the spaghetti harvest, sucker!, meet the new boss, traditions of doing things wrong, naked garbage bag poker, old
S4E22 April Fools! The Quantitative Things That Fool Us Read More »
In this week’s episode Greg and Patrick talk about exploratory structural equation modeling (or ESEM), a technique drawing upon the strengths of exploratory and confirmatory factor analysis methods and able to be embedded within structural equation models. Along they way they also discuss crab vs. crabs, Most Dangerous Catch, Next Day Blinds, smash-and-grab, sharp pencils,
S4E21 Exploratory Structural Equation Modeling Read More »
