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In this episode Greg and Patrick attempt to resolve long festering relationship issues that arise between the multilevel modeling and structural equation modeling approaches to growth curve analysis. Along the way they also discuss first dates, Jets and Sharks, Cubs and Cardinals, Montagues and Capulets, Tsingtao Beer, Thunderdome, stupid LISREL tricks, pressure math, dirty secrets, selfishness, and National Haiku Day.
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In this episode Patrick and Greg talk about the dreaded but often very real case of having a small sample size: what you should watch out for, and what options you have to squeeze the most information and inferential potential from your precious data. Along the way they also mention Name That Tune, Space Mountain, the Tiki Room, parapraxis, extraordinary least squares, Applebee's, B words, Eeyore, the psychological science accelerator, and Yoink!
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In this episode Greg and Patrick explore the freakish and terrifying topic of equivalent models, particularly as they arise within the structural equation modeling analytical framework. Along the way they also discuss rinsing toes, palindromes, anagrams, being a tad unquiet, under-teaching, double-secret probation, scary cousins, sausage makers, Tribbles, empty beer bottles, Hard Core History, a severely hungover John Stuart Mill, the walk of shame, and expecto patronum.
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Patrick and Greg talk about variability — both within individuals and within groups — as a source of really interesting and often overlooked research questions, to complement our well-developed skillset for studying means. Along the way, they also mention: Natatoriums, finding your spot, picking at a scab, the Polkaholics, Location Scale models, high-fiving statisticians, Inception, cooking with gas, Corvettes, fingernails in the dashboard, Kai Ryssdal, your grandfather’s stock, parenting consistency, and leaving Patrick unattended in your office.
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In this episode Greg and Patrick embark on a sometimes unhinged discussion of outlying and influential observations: where do they come from, how are they identified, and what do we do with them. Along the way they also discuss the outlier bell, stubbornness, pre-holiday grievances, Polly, Sesame Street, being more less likely, Greg's freak brother, operas, Nebraska cornfields, talking to volleyballs, stepping on rakes, name that dissertation, butt cramps, and acetone.
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In this episode Patrick and Greg talk about latent variables: what they are, why we care, and under what circumstances we can analyze them directly. Along the way they also discuss: BWI, dadgic, Patrick's bromance, the economy, Chris Botti, inter-planetary probes, Gronk, 118 degree dry heat, the evil eye, and Dora the Explorer.
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Greg and Patrick again subcontract out their own work by inviting a range of experts from different disciplines to share their perspectives on the future of teaching quantitative methods. They also discuss revenge, cryogenics, evacuation com...., American Idiot, 11 reasons why we blink, being hardly sorry, Googling how to fly a 737, machine directed latent mixture basket weaving...in R, the Levy Series, no half measures, penguin freezers, the Suez Canal, John Wesley Powell, Pacific Naval Warfare, and ignoring Dan McNeish.
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In today’s episode, Patrick and Greg talk about the tenure process: what it is, why it exists, how they see it, and some thoughts that might be helpful on the journey, fully realizing that institutions and fields are different, so your mileage may vary. Along the way, they also mention Fermat's Theorem, Ten Year, The Wizard, Flying Monkeys, the child catcher, water on rocks, fat old bald men, intellectual punches in the face, Charlie Brown Fails Tenure, 70% of zero, Cosmic Cantina, research quality as a latent variable, MultiInterTransDisciplinairy research, throwing grants on the fire, Marlo Thomas (she’s baaaack), and caveat emptor.
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In this episode Patrick and Greg compare and contrast multiple regression and the structural equation model and argue that although regression has brought us far, there are numerous reasons to turn to the SEM to continue to drive us forward. Along the way they also address gad flies, the Louisiana Purchase, Kool-Aid, high school friends, spring break, STDs, Southwest Airlines, radial arm saws, courage, buying paint at Home Depot, Agatha and Karl's corpses, and 737s vs. DC-3s.
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Greg and Patrick ring in the new year with a rambling discussion of univariate and multivariate normality: what it is, when and why we assume it, and does it really matter. (Spoiler alert -- it DOES). Along the way, they also discuss statistics history, supplement #2, Larry the Book Shop Guy, Isaac Newton's BFF, platypuses, collaborating with someone because your names rhyme, unicorns, calling in the wolf, nerf footballs, semi-non-sequiturs, irreconcilability, those crazy 1970's, and fax machines without document catchers.
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