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S3E10: Observation and Exploration

Patrick and Greg discuss the often forgotten importance of observation and exploration for the purpose of suggesting patterns and forming hypotheses, which can later be refined and rigorously tested within the framework of our well-developed confirmatory machinery. Along the they way they also discuss Orlando road trips, our inner child, crappy glue, melted chocolate, leaning

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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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S3E08: Statistical Degrees of Freedom…An Intimate Stranger

In today’s episode Patrick and Greg talk about statistical degrees of freedom: what they represent, how they are computed, and the importance they play in daily life. Along the way they also mention color blindness, the Skinnylicious menu, Kevin Bacon, Elmo’s Diner, the flatties, Amtrak, drinking Guinness at room temperature, sudoku, courage, paying the reaper,

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S3E07: In Defense of Researcher Degrees of Freedom

In this episode, Greg and Patrick discuss the many places where researchers make decisions throughout the research process, and they weigh the pros and cons of those researchers having such decision-making freedom. Along the way, they also mention Lucky Charms, frozen waffles for dinner, the fifth down, forking paths, Dirty Deeds Done Dirt Cheap, sharks

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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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