Events

Event Title	Introduction to Multilevel Modeling (Online)
Location	Online via Zoom
Sponsor	H.W. Odum Institute
Date/Time	09/27/2023 - 09/29/2023 9:00 AM - 3:00 PM
Event Price
Cutoff Date	09/23/2023 Must register before this date

For more information, contact the event administrator: Jill Stevens jill_stevens@unc.edu

Event Presenters

Name	Title
Dan Bauer		Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina.
Patrick Curran		Professor and the Director of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill.

This course will be offered online via Zoom only. Attendance is required as this course will not be recorded.

Introduction to Multilevel Modeling is a two-day (9/27/23 and 9/29/23; 9:00am – 3:00pm US Eastern Daylight Time) focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, 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: Tests of significance are likely biased and within- and between-group effects are confounded with one another. All of these limitations can be addressed within the multilevel model.

In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.