Multi-level Analysis: Recognizing the Problem
Your flash plugin is outdated or not installed.
Get the latest Flash Player HERE.
March 2 2010
1 hour and 30 minutes
What is Multi-Level Analysis? This is an introductory session on multi-level models, also called hierarchical linear models and random effects models. (Viewers should be familiar with simple linear regression.) The goal of this session is to understand:
- The nature of clustering in data
- Why simple linear regression is inappropriate when clustering exists
- How to model clustering within data using fixed and random effects
Since 2004, Dr. Smith has conducted a shortened version of this workshop on Multi-Level Modeling at the annual national meeting for health services researchers. We are pleased to offer this workshop at the University of Wisconsin.
|Cluster Analysis, ICTR, Linear Models, Statistics