Penn State Faculty: Workshop on Multilevel Modeling
January 21, 2015
We are pleased to announce this semester’s Taste of Methodology workshop on multilevel modeling (MLM) for analyzing clustered or longitudinal data. The May 5 workshop will be presented by Michael Cleveland, research assistant professor of health and human development and Methodology Center faculty affiliate.
MLMs are critical tools for analyzing clustered data, repeated measures data, and other forms of hierarchical data. These data could come, for example, from students who are nested within classrooms or participants who were followed for three or more observations.
A Taste of Methodology is a workshop series that offers Penn State faculty an overview of innovative methods over lunch. This semester’s workshop will present the concepts and applications of MLM in order to give faculty an efficient way to assess its potential for their research.
Introduction to Multilevel Modeling for Analyzing Clustered or Longitudinal Data
PRESENTER: Michael Cleveland, research assistant professor of health and human development and Methodology Center faculty affiliate
DATE: Tuesday, May 5, 2015, 10:30am – 1:30pm
LOCATION: Bennett Pierce Living Center, 110 Henderson Building
The three-hour workshop will include
- a conceptual introduction to MLM, including a description of data structures that MLM can handle;
- two motivating examples
- an analysis of the effects of school-level variables on student outcomes using data collected from pupils nested within schools, and
- an identification of patterns of within-person change (i.e., growth trajectories) and examination of interindividual differences in change using longitudinal, repeated measures data;
- open discussion about applying MLM in participants’ own research;
- resources to learn more about MLM; and
A Taste of Methodology is co-sponsored by the Social Science Research Institute (SSRI) and the Methodology Center, and is part of SSRI's Innovative Methods Initiative. The workshop is FREE and open to all Ph.D.-level scientists at Penn State. Registration is required and places are limited. To register or if you have questions, email Tammy Knepp (TLKnepp@psu.edu).