Multilevel Modeling: A Second Course

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Date(s) - 03/18/2016 - 03/19/2016
All Day

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Start Date: 3/18/2016

End Date: 3/19/2016


The University of Illinois at Chicago

1200 W Harrison St

Chicago, IL 60607


Contact: 610-642-1941

Taught by Kristopher Preacher, Ph.D

Hierarchically clustered (multilevel or nested) data are common in the social sciences, medical fields, and business research. Clustered data violate the assumption of independence required by ordinary statistical methods. Increasingly complex research designs and hypotheses have created a need for sophisticated methods that go beyond standard multilevel modeling (MLM). This “second course” in MLM will introduce a variety of MLM extensions, including cutting-edge multilevel structural equation modeling (MSEM) to handle complex designs and modeling objectives. Throughout the seminar, empirical examples will be presented to illustrate key concepts. A background in structural equation modeling (SEM) is not necessary.

On Day 1 we will begin by reviewing the basics of MLM, including

The motivation for MLM
Key concepts
Equation conventions
The univariate two-level MLM with fixed and random coefficients
Mplus will be introduced as a flexible and powerful software environment for fitting basic and advanced multilevel models. Next, we will cover several advanced MLM topics, including

Estimating, plotting, and probing interaction effects
Modeling cross-classified data
Modeling discrete (e.g., binary, count) dependent variables
Conducting power analysis for MLM using a general Monte Carlo technique
Fitting multivariate multilevel models
On Day 2 multilevel structural equation modeling will be introduced as a general approach for more complex modeling tasks. After a brief overview of single-level SEM , we will turn to the development of MSEM and the important advantages of MSEM over MLM (e.g. inclusion of latent variables, complex causal pathways, upper-level outcomes, and model fit assessment). Standard SEM and MLM will be recast as special cases of MSEM. Next we will cover a variety of MSEM topics:

Multilevel exploratory and confirmatory factor analysis
Multilevel path analysis
Multilevel structural models with latent variables
Multilevel mediation analysis
Multilevel reliability estimation
Applications to cross-classified and three-level data
Throughout the two-day course, models will be presented in several formats—path diagrams, equations, and software syntax. Data and Mplus syntax for all of the examples will be included in the workshop materials.

Participants in this seminar can expect to gain:

Mastery of advanced topics in MLM
A deeper understanding of the relationship between MLM and SEM
The ability to use multilevel SEM to test complex structural hypotheses
Resources to conduct power analysis for virtually any multilevel design
The ability to fluently interpret and translate among path diagrams, model equations, and Mplus syntax for advanced MLM and MSEM
Documented Mplus syntax templates for fitting a variety of multilevel models.

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