Symposium on Recent Advances in Multilevel Modeling

New York University, May 30, 2014


Multilevel models are statistical models that, broadly speaking, are characterized by complex patterns of variability, usually focusing on nested structures of, for example, students in schools, animals in litters, purchasing patterns of individuals over time, and so on. The wide applicability of these models in biology, education, psychology, sociology, policy science, marketing, and econometrics demonstrates their power and usefulness, but has also resulted in distinct strands in the literature to the point at which we have many different names for different forms or formulations of multilevel models, such as random effects models, random coefficient models, hierarchical linear models, panel data models, longitudinal models, pooled cross-sectional and time-series models, and growth curve models.

Such models have a long history, but until recently, researchers could not ask or answer many important questions: often the data were too expensive to collect and analysis was hampered by limited computational resources. This is no longer the case, and as a result new and original extensions, adaptations, and applications of multilevel modeling are appearing, as is a convergence of widespread existing literature. In association with The Sage Handbook of Multilevel Modeling, published in 2013, this one-day symposium brings together researchers from around the world who are doing this cutting-edge research on the theory and practice of multilevel modeling. Each of the speakers was an author or coauthor of one of the chapters in the book, and is one of the leading researchers in the field:



The symposium is being organized by Marc Scott, Center for the Promotion of Research Involving Innovative Statistical Methodology (PRIISM) at New York University Steinhardt School of Culture, Education, and Human Development, and Jeffrey Simonoff, Department of Information, Operations & Management Sciences at New York University Stern School of Business. It will be held in room 914 of the New York University Kimmel Center for University Life, located at 60 Washington Square South, between LaGuardia Place and Thompson Street. The day will begin with continental breakfast at 9 AM, and lunch is included. The talks will end at roughly 5:30 PM.

The registration fee for the Symposium is $35, with a $20 fee for students. The fee is waived for NYU faculty and students, including PRIISM Center non-NYU faculty affiliates.

 

The organizers gratefully acknowledge the support of the Toyota Motor Corporation of North America, Sage Publications, NYU Stern, and NYU Steinhardt.