Playlist: Multiple Regression and Other Foundational Topics

S3E09: Semi-Partially Clarifying Measures of Association in Regression

Patrick and Greg answer a mailbag question about some foundational principles of regression and correlation, specifically the differences among correlation, standardized regression weights, semi-partial correlations, and partial correlations. They also check in with someone from Season 2: Amanda Montoya’s undergrad mentee, Kat. Along the way, they also mention: Ap Olo Gies, mocking by text, particle …

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S3E05: Pop Quiz 3: Ethan’s Revenge

What starts as a friendly check-in with our intern Ethan McCormick in the Netherlands turns into Ethan’s Pop Quiz Revenge around the themes of statistical paradoxes and distributions. Along the way, Greg and Patrick also discuss headlamps, airport carousels, prostrate vs. prostate, operatic ambulances, ungulates, how X-mas got its X, Cobra Kai, bromeo, metric time, …

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S3E04: Two Time Point Data: What Is Your Quest?

Patrick and Greg talk about the potential advantages and disadvantages of alternative approaches to analyzing two time-point data. They discuss traditional models for raw and residualized change scores, and describe how each of these remains baked into the soul of contemporary models for repeated measures data.  Along the way they also mention: 24 inch pizza …

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S3E02: Johnson-Neyman Regions of Significance

In this episode, Patrick leads Greg and the rest of us through the incredibly cool and powerful topic of regions of significance, a way to help unpack under what moderating conditions treatments and variable relations are statistically significant. Along the way, they also mention: parallelism, Olivia Newton-John, going to the wrong church, laws in Vermont, …

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S2E30: ‘Always Center Your Predictors!’ And Other Sh*t My Advisor Says

Greg and Patrick explore the many interesting issues related to centering predictor variables prior to analysis, both in the standard regression model and in the multilevel model. Along the way they also discuss honking Diet Coke through your nose, rashes, hostage negotiation, reading at seven months of age, dealer’s choice, Coors Light, Galapagos tortoises, friendly …

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S2E18: Regression — Like That Old High School Friend You’ve Outgrown

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, …

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S2E14: Control (Variable) Issues

Greg and Patrick discuss issues of controlling for extraneous variables, by randomization and by design, but especially the challenges and assumptions associated with statistical control. Along the way they also mention drag racing, Volkswagen Bugs, Seabiscuit, Harrison Bergeron, Diet Coke, Janet Jackson, John Denver, gastrointestinal distress, Sewall Wright, and babies and bathwater. 

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