Multilevel (Mixed) Modeling

S6E08 The Statenfreude of Generalized Estimating Equations

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, […]

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S5E21 Multilevel Factor Analysis: But What Do The Factors Mean?!

In this week’s episode, Greg and Patrick talk about the challenges of combining confirmatory factor analysis and multilevel data, and the underappreciated but absolutely critical role that theory plays in choosing the proper model for your constructs. Along the way they also discuss learning in a second language, torn meniscuseseses, concert C trumpets, nosy neighbors,

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S4E09 Intensive Longitudinal Data: Be Careful What You Wish For

In today’s episode Greg and Patrick talk about that sweet spot between panel designs and time series designs, intensive longitudinal data, both the logistical and analytical challenges but more importantly its tremendous potential.  Along the way they also discuss camp fire face-plants, fear of horses, your spare eyelid, polishing your Nobel Prize, ripples in a pond,

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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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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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S2E29: Multilevel Models — The Often Unnecessary Green Monster

Patrick and Greg fulfill a legal obligation to interview the unnecessarily ubiquitous Dr. Dan McNeish of Arizona State University about why you probably don’t need to use multilevel modeling even when you have multilevel data. Along the way they also mention MacNair, safety schools, the Green Monster, driving a Corvette across the country, Compensation Club,

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