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Why mastering Mixed-Effects Models is a critical skill for professional researchers handling nested data. Learn to identify and fix the non-independence of sampling points correctly. This technical guide helps you avoid common modeling errors, ensuring your results are accurate, robust, and scientifically defensible across all your projects.