Multiple Regression and Other Foundational Topics

S5E09 Regularized Variable Selection Methods

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 unbiasedness, Curranizing, shooting arrows, stepwise

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S4E25 Cluster Analysis

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 of do-loops, free-range jam, statistical

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S4E19 The Dark Art of Regression Diagnostics

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, Elon Musk, yoinked, Trinity

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S4E17 Variable Transformations: Box-Cox, Fox in Socks

In this week’s episode Greg and Patrick 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 the also discuss prank phone calls, English drama, rapping Dr. Seuss, persnickety estimation, weekly banana intake, it don’t make no never mind, Jeffry Bezos,

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S4E15 Flipping Our Hypotheses to Test Equivalence

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 For All

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S4E13 Model-Based Power Analysis…The Power of *What*

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 arms off, German

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S4E11 The Centrality of Noncentral Distributions

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 reading, latent

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S4E10 Test Driving Model Identification

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, necessary & sufficient, walk of shame, Patrick’s Roz impression,

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