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Quantitude

Greg Hancock & Patrick Curran

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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.
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Disinfect

Matt Diehl, Maurice Bernstein

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“Disinfect” finds acclaimed music journalist Matt Diehl and career crate digger Maurice Bernstein joining forces to air out music’s worst songs – disinfecting stinking sacred cows to the most godawful guilty pleasures.
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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, micr…
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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 di…
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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-p…
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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 sci…
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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 trum…
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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, …
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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 wo…
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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 P…
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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 discus…
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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, …
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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 tes…
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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 cu…
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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 peop…
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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, flippin…
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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…
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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 littl…
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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 unbia…
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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-co…
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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 gian…
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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 yo…
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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 it, and extremely cool extensions that it allows. Along the way they also discuss hostile federal judges, McNeish, airing of grievances, Gauss and Mark…
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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 students seeking dissertation topics as well as anyone interested in active methodological areas. Along the way they also mentioned: Kill Bill, The Walt…
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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 grousing to positive and supportive advice for students as they discuss the strengths and weaknesses of a dissertation project. Along the way they also mentio…
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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 in s…
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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 partial thanks to Winston Churchill for their existence. Along the way they also mention: advent calendars, lasagna for 8, Honey Nut Cheerios, radio detec…
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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 o…
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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 emp…
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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, explaining the oc…
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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 mention ukus, the spaghetti harvest, sucker!, meet the new boss, traditions of doing things wrong, naked garbage bag poker, old man ra…
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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 able to be embedded within structural equation models. Along the way they also mention crab vs. crabs, Most Dangerous Catch, Next Day Blinds, smash-and…
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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 substantive and methodological promise as well its assumptions and potential limitations. Along the way they also mention talking in acronyms, QSEM, coward…
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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 related techniques. Along the way they also mention Big Pharma, Merriam-Webster, free-radical opioids, baguettes, antisocial personality disorder, Elo…
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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 recently developed method of latent moderated structural relations. Along the way they also mention confession, being hardly sorry, conspiracy theories, Greg…
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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 way they also mention prank phone calls, English drama, rapping Dr. Seuss, persnickety estimation, weekly banana intake, it don't make no never mind, Jef…
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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 error control and the severe control of Bonferroni. Along the way they also mention: Leif Ericson, discovering Columbus, The Flintstones, brontosauri, dyin…
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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 equivalence. Along the way they also discuss tough love, horseshoes and hand-grenades, Patrick’s Driving School, Cheyenne Mountain, So Long and Thanks Fo…
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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 individual trajectory growth model. They discuss why this is, how individual trajectory estimates can be obtained, and how these might be used in prac…
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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, and they explore ways of obtaining meaningful power estimates using the structural equation modeling framework. Along the way they also discuss tearing a…
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In this week's episode the employees of Quantitude International, including some very special guests, treat Greg and Patrick to a Secret Santa (ahem....secret Father Christmas) office party that they will not soon forget. Along the way they also mention mince meat pies, bangers, gits and tossers, Qurling (trademark pending), Vengeance Spice, hostag…
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In today’s episode, Patrick and Greg talk about those critical distributions that often go un-discussed -- noncentral distributions -- including their relation to the more familiar central distributions, their role in power and sample size determination, and how they are used in assessing data-model fit. Along the way they also mention back porch r…
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In today’s episode, Greg and Patrick talk about model under-, just-, and over-identification, starting with the algebraic foundations and moving into implications for the practice of structural equation modeling. Along the way they also mention shagging cars, new Ferraris, bank statements, prerecorded reactions, Quantitude implied contract, necessa…
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In today's episode Patrick and Greg talk about that sweet spot between panel designs and time series designs, intensive longitudinal data — both the logistical and analytical challenges, but more importantly its tremendous potential. Along the way they also mention camp fire face-plants, fear of horses, your spare eyelid, polishing your Nobel Prize…
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In this week's episode Greg and Patrick get to explore modern methods for missing data analysis while belaboring quotes from Top Gun with their guest Craig Enders from the University of California at Los Angeles. Craig looks back over the past 20 years of developments in missing data analysis to discuss what has worked, what hasn't worked, and what…
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In this week's Halloween-themed episode, Patrick and Greg have fun talking about things in their academic jobs that scare them, from things that are a little scary to things that they find absolutely terrifying. Along the way they also discuss Mrs. Kopicky's caramel popcorn balls, Wolf of Wall Street, Kenny T, forgetting you've told a story before,…
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In this week's episode Greg and Patrick talk about the frequent gap between research questions and methods and ways to think about reengineering your variables, your parameters, or your entire model to help get what you want. Along the way they also mention: living in the dorms, Greek god sculpture rockets, not living in the dorms, Christmas tree t…
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In this week's episode Patrick and Greg spend a wonderful, if not at times awkward, hour talking with Dan Bauer about the genesis, application, and future directions of what may be the world's worst acronym: MNLFA, or moderated nonlinear factor analysis. Along the way they also mention unsolicited help from teenagers, gold stars, acronyms, words th…
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In this week's episode Greg and Patrick talk about partial least squares, a technique that resembles structural equation modeling but with a lot of flexibility, including but not limited to its ability to accommodate both reflective and formative constructs. Along the way they also mention dark RedBubble, Sheep’s Kin, snorting SEM, the Coors Light …
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In this week's episode Patrick and Greg explore the often neglected method of two-stage least squares; they take a walk down memory lane to explore its origins and then drag it kicking and screaming into the 21st century for much promising use within the latent variable model. Along the way they also mention magic dishwashers, being under-estimated…
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This week Patrick and Greg talk about maximum likelihood estimation: what it is, where it comes from, how it works, what it can do, and what it can't do. Along they way they also mention tour-bombing your kid, licking the turtle, Van Halen and AC/DC, orange mustaches, brandy snifter pong, bus #27, Ronnie Fisher, why people hate us, circus tents, ni…
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In the opening episode to Season 4, Greg and Patrick delve into ordinary least squares estimation: where it came from, what it attempts to achieve, and where it can take us from here. Along the way they also discuss Golden Retrievers who are neither golden nor retrieve, Olivia Newton-John, sub-conning out their own work, the meat sweats, sh*t you s…
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