S7E19 Growth Modeling With Time-Varying Covariates
Show notes
In this week's episode, Greg and Patrick have great fun talking about the inclusion of time-varying covariates within growth models. They differentiate time invariant from time varying predictors, explore how these are differentially incorporated in the MLM and SEM, and conclude with both the strengths and the limitations of these models in practice. Along the way they also discuss Herb Alpert, incessant complaining, downtown Charlotte, Spinal Tap drummers, back dating checks, John Stuart Mills' corpse, time machines, blind squirrels, making good choices, pokes and prods, twitching eyes, mutually assured destruction, being quant curious, high school hallways, it's not fair, and chewing on your stitches.
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