R tutorial: Multilevel models part 1, variance components in random intercept models
This tutorial will show you how to explore the multilevel structure of a variable enabling you to identify and test for, the optimal multilevel structure for your data in a random intercepts model. I’ll show you how to work out the % of variance in a DV that is attributable to each level of the model and how to briefly write up this information. Data and code can be found here https://drive.google.com/drive/folder...
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R tutorial: Multilevel models part 2, fixed effects and explaining variance
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Mixed Model Notation - A Simple Explanation
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Multilevel Models: Random Intercept Models | Ian Brunton-Smith
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Fitting mixed models in R (with lme4)
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Using lme4 in R for Mixed Models
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Bayesian Regression in R
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Longitudinal Multilevel Modeling in R Studio (PART 1)
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Random Intercept Multi-Level Models
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Multilevel and mixed models, random and fixed part
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Linear mixed effects models
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GLM in R
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(Simplified) Linear Mixed Model in R with lme()
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