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What is Multilevel Regression: Random vs. Fixed Effects about?

This document discusses key concepts in multilevel regression including random vs. fixed variables, effects, coefficients. Random variables are assumed to vary across a larger population and measurement contains error, while fixed variables are assumed constant. Random effects models assume independent variables are random and generalize beyond the study sample. Random coefficients in multilevel regression refer to intercepts, slopes, and variances that can vary across groups. Models with only intercepts ar

Author

ricky5ricky

Language

EN