Multilevel and Mixed Models

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Date(s) - 12/01/2017 - 12/02/2017
9:00 am - 5:00 pm


Statistical Horizon will host a seminar, taught by Dr. Stephen Vaisey on Multilevel and Mixed Models. The seminar is intended for participants who want to learn to apply multilevel models to observed data. Participants should have knowledge in linear regression.

This two-day seminar begins December 1 and will provide an intensive introduction to multilevel models. After a brief conceptual introduction (including a discussion of the difference between random and fixed effects), we will begin with simple variance components models. We will then move on to mixed models (random effects models with fixed covariates). Next, we will investigate how using random coefficients and cross-level interactions can help us understand how individual-level processes work differently in different contexts. At the conclusion of the course, students will: Know the technical and substantive difference between fixed and random effects; Understand what random intercept models, random coefficient models, and crossed random effects models are and when to use each one; and Know how to estimate and interpret these models in Stata.

To register for the early registration fee of $895 you must register before November 1. To register click HERE.

To learn more information about the seminar click HERE.

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