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This lecture delves deeper into multilevel models, focusing on analyzing exam score data using graphical exploration and linear regression models. The instructor demonstrates fitting separate models, estimating coefficients, and comparing model performance. The lecture also covers random slope models, estimating ICC, and checking residuals to evaluate model fit.
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