In today’s episode Patrick and Greg talk about outcomes that are count variables: when you need to worry about them and what you can do about them within your analytical models. Along the way they also mention: Bela Lugosi, Vlad the Impaler, Patrick the Poker, Count Chocula, Count von Count, drunken bar brawls, secret distributions, K!, bio breaks, second favorite child, Animal Farm, Cliff’s notes, A’s in band, and more equal zeros. 

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In this week's episode Greg and Patrick explore both the challenges and the opportunities of age-period-cohort analysis when trying to understand the complexities of human behavior over time. Along the way they also discuss bachelor night, Dave Brubeck, pay phones, street lights, global nuclear war, lazy thinking, I'm not a crook, biking to grandmas, HMS Pinafore, the Beatles, aggressive mice, trash snakes, and getting high at A-Basin.

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In this week's episode Greg and Patrick shine a flashlight on correspondence analysis and find that this is an extraordinarily cool yet often neglected method similar to factor analysis but applied to nominal contingency tables. Along the way they also discuss online personality tests, marital therapy, modern antibiotics, the Newlywed Game, grand slams, the advantages of being flexible, disrespecting nominal variables, formally apologizing to linguists, Winnie the Pooh, VH1's Pop-Up Video, the witches of Macbeth, Wait Wait Don't Tell Me, and the downsides of Novocaine. 

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In this week’s episode Greg and Patrick talk about loglinear models as a clever method to deconstruct the potential dependencies among two or more categorical variables. Along the way, they also discuss Children of the Corn, Mr. Magoo glasses, tighty whities, Fogo de Chão, blinded by hand soap, logarithms as drug mules, Euler Euler Euler, conspiracy boards and red yarn, M&M colors, depth perception problems, and apologies to Mrs. Johnson

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In this week's episode Greg and Patrick invoke the very personal interpretation of modern art as a framework for thinking about the exceedingly cool topic of rotation in exploratory factor analysis. Along the way they also discuss Venice Beach, haystacks, drug fronts, being insufferable, ignoramuses, .22's and stop signs, weak pivots, honking factors, pooping out matrices, the Gulf of America, twitchy eyeballs, big fat zeros, obliquity, and Extortomax. 

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In this week's episode Greg and Patrick talk about group coding approaches, like dummy variables and effect code variables, for helping to analyze group differences within the larger general linear model. Along they way they also discuss hacking up a lung, made for audio faces, walking pneumonia, putting Vicks VapoRub on your feet, cards in your spokes, confusing rental cars, crash test dummies, what is your quest, 25-cent Nyquil night, Bonferroni glasses, the Romans, and Nyquil haze. 

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In this week's episode Patrick and Greg explore the fascinating world of suppressor variables which have the nearly magical, yet fully understandable, distinction of being unrelated to the dependent variable yet serving to enhance the predictive utility of other variables in the model. Along the way they also discuss  getting the giggles, giving away our secrets, Sigmund Freud, repressed variance, Greg's defense mechanisms, Keyser Soze, the Cookie Monster, squirrel proof bird feeders, World War II, street magicians, Paul's corpse, and before zero was invented. 

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This week we just want to wish everyone a wonderful holiday season, and we look forward to sharing more quant fun in the new year. Please take care everyone!

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In today’s episode, Greg and Patrick talk about instrumental variables: what they are, how they help to make causal claims, and the many assumptions and challenges associated with them. Along the way they also mention: Festival of Side Dishes, pilot turkeys, gutsy bagpipes, charter schools, drama kids, RCT wieners, Space Force, licking a rainbow, Duranimals, draft lotteries, shoelace color, buttress, mother-in-lawing, and kazoo duets. 

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This week Patrick and Greg talk about one of Patrick's favorite papers, which is a masterpiece not only in terms of its quantitative contribution in understanding the differential role of factor scores, but also as a model of clear and concise technical communication. Along the way they also mention Sandals and Motel 6, hotel hangers and glasses, hitchhikers under the bed, icebreakers with Roger, David Mamet films, Patrick’s conversations with himself, Rondo, title colons, carving elephants, cursing Patrick in the dark, as the reader may demonstrate, tea leaves, Holzinger & Swineford, and bringing down the average IQ.

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