If you want to learn multilevel modelling but don't know where to start, and I have created the website for you: learn-mlms.com
A brief summary of the materials and the impetus for them: (1/6)
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Clustered data structures are pretty common in research, and MLMs are one way to handle them. But as a beginner it can be difficult to know where to start, and not everyone has access to formal classes or intensive courses. (2/6)
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These materials walk through the basics of MLMs: why/whether you need one, fixed and random effects, specifying models, estimation options, effect sizes, troubleshooting errors. We start from linear regression and take you to running your own MLMs. (3/6)
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There are examples with built-in code and output in every chapter. You can download code, data files, and worksheets to follow along at home, or just to use as a jumping off point for your own analyses. (4/6)
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If you're an instructor creating an MLM course at your institution, feel free to take the code, data, worksheets, etc. for your own course prep!
If you find any errors or having any requests, please let us know on Github: github.com/mkshaw/learn-m (5/6)
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Thank you to for funding these materials through their Teaching Fund and to who helped me with website formatting and has his own set of MLM materials if you want a second take on some of the concepts: m-clark.github.io/mixed-models-w. (6/6)
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