Patrick Curran and Daniel Bauer are conducting a workshop, Multilevel Linear Models, on June 1-5, 2009, at the Rizzo Conference Center of the University of North Carolina, Chapel Hill. Of particular interest to aging researchers, a large portion of the workshop is dedicated to the analysis of longitudinal data using multilevel models, also known as hierarchical linear models. A brief summary of the workshop follows. Greater detail, including registration information, can be found here: http://www.cbanalytics.org/multilevel.htm _____________________________________________________________________________________
THE WORKSHOP
Multilevel Linear Models is a five-day workshop focused on the application and interpretation of statistical models that are designed for the analysis of nested data structures. Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist). It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so. In this workshop we provide a comprehensive exploration of multilevel linear models with topics ranging from introductory (e.g., random effects ANOVA, random effects regression, slopes as outcomes models, disentangling within- and between-group effects) to advanced (e.g., assessing mediation, modeling multivariate growth, and intensive longitudinal data! analysis). The general structure of each day is lecture-based instruction from 9:00 to 3:00 (with morning, lunch, and afternoon breaks), and separate break-out sessions from 3:00 to 5:00 focused on model estimation using SAS and SPSS. Although there is not a computer lab component to this workshop, we provide extensive live demonstrations are provided in SAS and SPSS. Further, participants are welcome to bring personal laptop computers to follow along with the software demonstrations. Finally, all data sets and computer code are provided to workshop participants to take at the completion of the course.
PRESENTERS
Patrick Curran received his Ph.D. from Arizona State University in clinical psychology and is currently a Professor of Quantitative Psychology at the University of North Carolina at Chapel Hill. Daniel Bauer received his Ph.D. from the UNC-Chapel Hill in developmental psychology and is currently an Associate Professor of Quantitative Psychology at UNC-Chapel Hill. Drs. Curran and Bauer have both published extensively on multilevel modeling and longitudinal data analysis, and their previous workshops on this topic have been well received.
FOR MORE INFORMATION
More information, including a detailed syllabus and registration information, is available at http://www.cbanalytics.org/multilevel.htm.
