Methodology Workshops Sponsored by CRF - Analyzing Incomplete Multilevel Data with HLM
On Friday, May18th, CRF sponsored a workshop taught by Stephen Raudenbush (Dept. of Sociology, University of Chicago) and Yongyun Shin (Dept. of Biostatistics, Virginia Commonwealth University) on Analyzing Incomplete Multilevel Data with Hierarchical Linear Modeling (HLM). The presenters discussed new methods for the analysis of incomplete multilevel data, and the thirty-two people who attended the workshop left better prepared to deal with missing data in their own research. All participants who evaluated the workshop said they strongly agreed that the instructors had great enthusiasm for the subject matter and seemed very knowledgeable on the subject matter. Participants commented that it was a "great opportunity to learn new and innovative analysis strategies" and was "so great to have leaders in the field so accessible." Another participant remarked that the workshop was "fantastic, cordial, animated [and] stimulating."