statistics

S7E16 Jumping Into Regression Discontinuity Designs

In this week’s episode, Greg and Patrick discuss the decades-old method of the regression discontinuity design and describe how, when properly applied, this approach can strengthen our causal inferences when using quasi-experimental data. Along the way they also discuss Ravenclaw vs. Gryffindor, playing barefoot darts, gaming the system, I see dead people, Googling age cut-offs,

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S7E13 Time-Varying Effect Models

In this week’s episode Greg and Patrick explore the incredibly cool possibilities offered by the time-varying effects model as a non-parametric alternative to the more restrictive time-varying covariate model. Along the way we also discuss North Dakota, Cal Ripken Jr., pre-gaming, not trying to be funny, left lane guy, Walker Texas Ranger, smelling toast, Bob

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S7E12 The Gift of Regifting

This week’s episode is the seventh annual Quantitude Holiday Special, but because Greg and Patrick both forgot to get each other something, they frantically regift one another some of their favorite sponsors from prior episodes. Along the way they also discuss Quantitude Studio A, two foot tall porcelain penguins, electric bug zappers, personalized cutting boards,

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S7E10 A Report Card on GPAs

In this week’s episode Greg and Patrick have fun exploring the questionably valid but always high stakes role of the grade point average, or GPA. They consider the different ways in which grades can be assigned, what they may or may not actually represent, and how they have become increasingly inflated over time. Along the

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S7E09 Modeling Categorical Change with Latent Transition Analysis

In this week’s episode Patrick and Greg talk about latent transition analysis, which embeds latent class analysis within a longitudinal context, allowing us to explore, as well as to formally test, patterns of individual change in latent class membership over time. Along the way they also mention: identity crises, the crossword puzzler, the nihilist, here

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S7E08 Bootstrapping

In this week’s episode, Greg and I discuss the amazing world of the empirical bootstrap. We start with inferential testing using business as usual, we describe where that quickly runs into problems, and we explore where bootstrapping does and, importantly, does not help move us forward. Along the way we also discuss midnight in Bangkok,

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