Longitudinal Design & Analysis

S5E10 Nonlinear Latent Growth Curve Models (Taylor’s Version)

Uncategorized / 2 minutes of reading

In this week’s episode Greg and Patrick explore alternative parameterizations of the SEM-based latent curve model to capture various forms of nonlinearity, some that are approximations and others that are exact. Along the way they also discuss Swifties, remastering your life, bull testicles, the world’s worst RA job, Yerkes-Dodson law, show a little ankle, the […]

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S4E24 Longitudinal Measurement Invariance

Uncategorized / 2 minutes of reading

In this week’s episode Patrick and Greg talk about the critical and often unmet assumptions underlying the use of measured variables at multiple time points, whether for simple analyses like tests of means or more complex analyses like modeling individual growth. Along the way they also mention: following your blocker, Pascal’s wager, Wikipedia empathy, ham

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S4E20 Dynamic Structural Equation Models with Ellen Hamaker

Uncategorized / 2 minutes of reading

In this week’s episode Greg & Patrick talk with Dr. Ellen Hamaker from Utrecht University about the exciting and growing area of dynamic structural equation models. They discuss its tremendous substantive and methodological promise as well its assumptions and potential limitations. Along the way they also mention talking in acronyms, QSEM, cowardly bathroom stall phone

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S4E14 Growth Trajectory Estimates…What’s My Line?

Uncategorized / 2 minutes of reading

In this week’s episode Greg and Patrick explore all the ways they lie about things when they teach, not the least of which is that there are actually no individual growth trajectories estimated in an individual trajectory growth model. They discuss why this is, how individual trajectory estimates can be obtained, and how these might

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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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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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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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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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S1E20: Finite Mixture Modeling & Sir Mixture-A-Lot

Uncategorized / 1 minute of reading

Greg and Patrick waste an hour of your time drunkenly wandering along the dangerous cliffs overlooking mixture modeling. In addition to exploring the potential promises and unadulterated dangers of mixture models as a mode of scientific inquiry, they also mention drama nerds, hunchbacks, date night for the Lincolns, name dropping, UConn women’s basketball, inductive-deductive wishin’-and-a-hopin’,

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

Uncategorized / 1 minute of reading

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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Longitudinal Design & Analysis

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