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 Lynde, Vanna White, horses and plows, breeding like cats, the long con, the Swiss vs. the French, Zombieland, the Quincunx, fifth grade math, Lowly Worm, a lazy S, the double tap, and choosing free will. 

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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, the British Museum, fiberglass replicas, love languages, cave drawings, the space-time continuum, coffee shops, a DAGs Czar, We Are The World (with Cyndi Lauper), tennis shoes, and bubblers. 

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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 guys, things that annoy me, you tell me, using your brain, sofa forts, back dating checks, logistic regression on steroids, and coming to the party late. We hope you enjoy this week's episode.

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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, the huffing closet, Hungry Hungry Hippos, Rock'em Sock'em Robots, lactose intolerance, Greg's ATM PIN, our circle of friend, and configural configurations. 

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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, opening paragraphs, dark and stormy nights, sharp rusty knives, dream teams, DAGs as religion, No Daggity, burly moles, Western Kansas, good bones, and computer defaults. 

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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 hate us (page 3 subsection 8), binary babble, EAPs and MAPs, computer adaptive  testing on the playground, Bob’s your uncle, and the liberal arts mic drop. 

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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 and goats, the birthday problem, how to carve an elephant, and pick-6 lotteries. 

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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, Cartman, validation, dragon boats, anxiety, spam filters, hair loss, audio visualizations, overused tree analogies, rainbows & unicorns, rain in Los Angeles, and Moneyball.

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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 fractions, Cal Berkeley admissions, GDP and happiness, exercise and heart attacks, and Double Super Secret whatever.

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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 beans, advice cookies, in bed, scalloped tiles, scales at NASA, important footnotes, working in your garden, being buck naked, Dark Side of the Moon, squarshing, deserving variance, and when the cops show up.

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