Contrast coding
This lecture develops the discussion of dummy/indicator coding to look at other forms of coding that can be used when entering categorical predictors into a linear model - especially when those categories represent experimental manipulations. We discuss contrast coding. Specifically, how to create contrasts and decide upon weights. Learn R alongside these lectures with the discovr package (https://www.discovr.rocks/discovr/) Suggested soundtrack: Primus: Too Many Puppies ( • Too many puppies - Primus (live) )

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Comparing means adjusted for other predictors (analysis of covariance)

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Lecture 01: The General Linear Model

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6. Monte Carlo Simulation

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Multilevel models

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Trump Preps for 80th Birthday, Threatens to Hit Iran, Knicks Historic Win & Elon Musk Trillionaire!?

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The standard error and confidence intervals

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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Clean your data with R. R programming for beginners.

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Logistic regression (categorical outcomes)

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Growth models

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Fitting mixed models in R (with lme4)

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The French Do Not Care About Work

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GLM: Model fit and multiple predictors

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Something is jamming GPS over Europe. Here's what we found

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Repeated measures as a multilevel model

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R Studio tour

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Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)

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Explaining generalized linear models (GLMs) | VNT #15

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Moderation and Mediation

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