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Introduction to Finite Mixture Modeling

The Center for Integrated Latent Variable Research (CILVR) at The University of Maryland

Three-day short course for research professionals, faculty, and graduate studnts.

April 25-27, 2018 (Wednesday - Friday)

Instructor: Dr. Jeffrey Harring, University of Maryland (harring@umd.edu)

This three-day course is intended as both a theoretical and practical introduction to finite mixture modeling as it pertains to statistical methods regularly used in educational, behavioral, and social science research. An understanding of finite mixture modeling will be developed by relating it to participants' existing knowledge of both traditional and some advanced statistical methods (i.e., multiple regression, latent growth modeling); thus it is assumed that participants have exposure to multivariate statistical methods and analyses falling under the General Linear Model (GLM) umbrella.

We welcome on-site participants who wish to be able to interact directly with the instructor.

Participants who prefer to take part remotely, from anywhere in the world with a good wi-fi connection, may join us with the ON-LINE PARTICIPATION option -- synchronously (real time) or asynchronously (delayed).

For more information, please visit the MIX 2018 web page