What is multilevel modeling in statistics
Multilevel modeling (MLM), also known as hierarchical linear modeling (HLM) or mixed-effects modeling, is a statistical technique used to analyze data with a nested or hierarchical structure—where observations are grouped within higher-level units. Think of students nested within classrooms, patients within hospitals, or repeated measurements within individuals. Traditional statistical methods like linear regression assume all … Read more