Multilevel (Mixed) Modeling

S4E09 Intensive Longitudinal Data: Be Careful What You Wish For

Uncategorized / 2 minutes of reading

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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S3E13: The Actor-Partner Interdependence Model

Uncategorized / 2 minutes of reading

In today’s episode, Greg and Patrick talk about the rich array of models for testing hypotheses about mutual influences between people within a dyadic relationship. Along the way they also discuss bones to pick, red herrings, bad influences, cow nutrition, playing both sides of the ball, Deion Sanders, the mind’s eye, it’s not me it’s …

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

Uncategorized / 1 minute of reading

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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S2E32: Lies, Damned Lies, and Random Samples

Uncategorized / 1 minute of reading

Greg and Patrick talk about how, although textbooks almost exclusively talk about simple random samples, in practice they almost never actually occur. To try to sort this out, they enlist the help of Dr. Laura Stapleton from the University of Maryland, who lived a prior life as an economist and knows a thing or two …

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

Uncategorized / 1 minute of reading

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

Uncategorized / 2 minutes of reading

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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S2E26: MLM vs. SEM: Opportunities for Growth

Uncategorized / 1 minute of reading

In this episode Greg and Patrick attempt to resolve long festering relationship issues that arise between the multilevel modeling and structural equation modeling approaches to growth curve analysis. Along the way they also discuss first dates, Jets and Sharks, Cubs and Cardinals, Montagues and Capulets, Tsingtao Beer, Thunderdome, stupid LISREL tricks, pressure math, dirty secrets, …

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S2E23: Research Questions About Variability

Uncategorized / 1 minute of reading

Patrick and Greg talk about variability — both within individuals and within groups — as a source of really interesting and often overlooked research questions, to complement our well-developed skillset for studying means. Along the way, they also mention: Natatoriums, finding your spot, picking at a scab, the Polkaholics, Location Scale models, high-fiving statisticians, Inception, …

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S2E05: Model Based Thinking

Uncategorized / 1 minute of reading

In this episode Greg and Patrick wander semi-drunkenly around the topic of model-based inference and discuss how this perspective can help move us forward as a scientific discipline. They also somehow manage to discuss explosives, sniffing glue, homemade 787s, catfish noodling, the Ikea helpline, Calvinball, Ludwig Beethoven, Rube Goldberg, hell’s half acre, denouements, and intolerable …

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S2E02: The Auto-Regressive Cross-Lagged Horror Picture Show

Uncategorized / 1 minute of reading

Patrick and Greg open with a disagreement about time travel movies, which then somehow devolves into a discussion of alternative approaches to modeling longitudinal data. They agree that a core issue to consider is the separation of within-person and between-person components of change over time, both theoretically and analytically. Throughout the discussion they also mention …

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Playlist: Multilevel (Mixed) Modeling

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