Multilevel (Mixed) Modeling – Page 2

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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S2E26: MLM vs. SEM: Opportunities for Growth

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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

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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

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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

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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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S1E17: Planned Missing Designs (or, How to Beat a Metaphor to Death)

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Greg and Patrick start with what seems like a reasonable metaphor linking musical compositions to planned missing data designs, and then they proceed to beat it to death. Then, just when you think they’ve buried it, they dig it back up and beat the carcass some more before eventually just running out of time. In

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S1E16: Missing Data: (IF EPISODE=16 THEN EPISODE=-999)

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In Episode 16 of Quantitude, Patrick and Greg have more fun than is probably socially acceptable when talking about missing data. In addition to embracing the Zen-like paradox of “the presence of missing data,” they also discuss West Point, “is” versus “are,” middle school English teachers, relentless tenacity, talking narwhals, being completely pregnant, taking in

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