Quantitude

Quantitude

A podcast dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Co-hosts Patrick Curran and Greg Hancock talk about serious statistical topics, but without taking themselves too seriously. Think: CarTalk hi-jacked by the two grumpy old guys from the Muppets, grousing about quantitative methods, statistics, and data analysis, all presented to you with the production value of a 6th grade school project. But in a good way.

Episodes

May 21, 2024 52 mins

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 academia. Along the way we also mention: deathscrolling, Patrick’s fuzzy blanket, slow motion ballerina, Twix, academia infomercial, Twitter admins, micromanaging, pilot training, young Turks at the gate, stupid shit like this, chalk hold...

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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 probability distributions, starting with the Bernoulli and biting their way through the binomial, z, t, chi-square, F, and beyond. Along the way they also discuss having a 122 degree temperature, playing with mercury, daytime TV, Paul Ly...

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April 30, 2024 48 mins

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 Rosetta Stone for translating back and forth between the two. Along the way they also discuss pop, garage sales, thinking about excessive thought, roly-polies, potato bugs, been to the cinema, sweet tea, smiley face sub-i, poop hat, ...

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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 experiencing an event; yet these models are not often used in many areas of study. Along the way they also discuss the date of your death, running with scissors, Patrick's Audi A8, because she's dead, say my name, the good gu...

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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 plays in choosing the proper model for your constructs. Along the way they also discuss learning in a second language, torn meniscuseseses, concert C trumpets, nosy neighbors, forts of equations, artillery commanders, saluting cadets,...

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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 much greater importance in practice. Along the way the also discuss cheap beach house rentals, misplaced sand dunes, Mrs. Lincoln, the child catcher, hushpuppies, cockroach feces, academia as community theater, spikes and smoodges...

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March 19, 2024 49 mins

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 some of the limitations of classical test theory.  Along the way they also mention weinerness, memorizing Latin for punishment, eggszampke, in ether words, ITR, switching a and b, I’m not defensive - you are, why biostatisticians ...

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March 12, 2024 44 mins

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 arguments with relatives, a feel for the roulette wheel, Xeroxing your butt, “The coin has spoken.”, Quantitude BooqQlub, the Bellagio Fountains, Clooney and Pitt look-alikes, the Flippier, Rosencrantz and Guildenstern, Monty Hall, Ferraris an...

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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 describes the various ways in which these models can be used, and how these can serve to inform both prediction and explanation. Along the way they also discuss looking pensive, drunken 3-way interactions, Stephen Hawking, parlor tricks, C...

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February 20, 2024 33 mins

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.  Along the way they also discuss Apple Vision, The Simpsons predicting the future, sitting too close to the TV, low levels of radiation, Paul the octopus, Blinky, shtuff, duck duck duck, Jonathan the tortoise, batting averages, bad at...

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February 6, 2024 49 mins

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 how these classical methods are actually highly restricted latent measurement models and they explore how these restrictions can be relaxed and even tested. Along the way they also discuss weird dates, free Tupperware, yellow fatty...

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January 30, 2024 34 mins

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 life, and what can we do about it. Along the way they also discuss the space-time continuum, Kai Ryssdal, inflation, witches of MacBeth, the hidden curriculum, oh dang, sh*t (ummm...STUFF) you should know, SAT prep courses, the tr...

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January 23, 2024 47 mins

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 they also mention tire pressure gauge mysteries, conference travel reimbursement, phases of the moon, gyroscopic effects, baseball walk-of-shame, why people hate us, settling out of court, confidence tricks, Mack JcArdle, Shakespearea...

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January 16, 2024 43 mins

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 meta-analysis is, what it offers, and how to apply it in your own work. Along the way they also discuss taking off into the north vs the south, flipping people off, being subtle, metaphysics, say my name, most effective tactic avai...

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December 12, 2023 44 mins

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 proceed to discuss several statistical ideas that also seem to Die Hard. Along the way they talk about so much gibberish that we don't even bother listing it here.

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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 that are exact. Along the way they also discuss Swifties, remastering your life, bull testicles, the world's worst RA job, Yerkes-Dodson law, show a little ankle, the St. Louis Arch, bachelorette parties, deck screws, DIY-ing a m...

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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 they also mention Bowdlerizing, The Family Shakespeare, disturbance in the force, McNeish on his bike, Spandex, C’mon guys wait up, the altar of unbiasedness, Curranizing, shooting arrows, stepwise goat rodeo, volume knobs, Hancockizin...

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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 mention full-contact Wordle, being grounded, spelling bees, state capitals, definitions of leadershi...

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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, When Arrows Attack, The Handbook of SEM, the evil eye factor, defining your terms...

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October 31, 2023 46 mins

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 mention microscope lab, burning ants, substitute teaching, Cool or Creepy?, Monet, Clueless, haystacks, hotdogs, What are you thinking?, pennies and pounds, party like it’s 1904, potluck freeloaders, lips and ...

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