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 […]
S6E16 Correspondence Analysis Read More »
In this weeks 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,
S6E15 Loglinear Models: Someone Should Have Told You Read More »
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
S6E14 Factor Rotation: But is it Art? Read More »
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
S6E13 Group Codes in GLM: Dummy and Dummier Read More »
In this week’s episode Greg and Patrick 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
S6E12 Suppression Unrepressed Read More »
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! Related Episodes S5E11 Statistical Ideas That Die Hard S4E12 Secret Father Christmas Actually S3E14: Patrick & Greg’s New Year’s Balls Drop S2E16: Holiday Airing of Grievances
S6E11 A Brief Holiday Message… Read More »
In this week’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,
S6E10 Instrumental Variables (Dad)Rock! Read More »
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
S6E09 Masterpiece Theatre: Skrondal & Laake (2001) Read More »
In this week’s episode, Patrick and Greg discuss the benefits and limitations of generalized estimating equations as an approach to dealing with data that violate the assumption of independence. Along the way they also mention: goat rodeos, haunted houses, jump scares, liberos, Haikyu!!, Whoa Ace!, dadenfreude, Otto, cutting the baguette, this just in, American Idiot,
S6E08 The Statenfreude of Generalized Estimating Equations Read More »
In this week’s episode Greg and Patrick talk about the advantages of recent structural after measurement work, allowing us to break apart traditional structural equation models to analyze the measurement and structural portions separately. Along the way they also discuss the baseball playoffs, fire pit face plants, the gluten cabinet, pumpkin inadequacy, a soupçon of
S6E07 Structural After Measurement and the Muffin of Truth Read More »
