Multilevel Modeling.

Catalog description

The primary goal for the course is to assist the students in investigating research problems in social sciences, particularly when data is meaningfully organized into multiple layers as a hierarchy, or contextual levels. Multilevel models (MLM) are also known as hierarchical linear models (HLM), random coefficient models, or random effects models. MLM can be used to analyze a variety of questions with either categorical or continuous dependent variables, and explained by many independent variables.