Transitioning to Mplus
for Multilevel Modeling

The Mplus statistical software program offers powerful multilevel modeling (MLM) capabilities. Because Mplus is also a powerful latent variable modeling software, it can be used to extend standard MLM into multilevel structural equation modeling and multilevel dynamic structural equation modeling. This course is intended for those who already know the basics of MLM but want to switch to Mplus to do so.

Instructor:
Aidan Wright, PhD (University of Michigan)

Workshop Dates and Times:
Recorded on July 8-9, 2024
Now available for self-paced learning

Workshop Format:
Two-Day Online Workshop Recording

This workshop is designed to help researchers in the health and behavioral sciences transition to using the Mplus statistical software framework for multilevel modeling (MLM). The focus of the course is on familiarizing researchers with the Mplus modeling framework, provide instruction how to correctly code popular MLMs (e.g., fixed effects, random effects, cross-level interactions), as well as showcase some exciting features available in Mplus not available in other programs (e.g., standardized effects). Defaults and peculiarities of the Mplus modeling program are also highlighted to ensure researchers avoid accidental model misspecification. Note that this course does NOT cover the conceptual basis and statistical foundations of MLM. It assumes researchers are already sufficiently familiar with MLM and the focus is on learning how to use software.

This workshop is an excellent introduction to Mplus for those interested in extending their skills with multilevel structural equation modeling, offered immediately following this workshop. Note that signing up for this workshop and multilevel structural equation modeling together as a “combo” will earn a 20% reduced fee on EACH workshop.

What you’ll learn

  • Coding Skills – Learn how to code the most common and popular multilevel models in the Mplus software

  • Interpretation – Learn which output options to request and how to decipher Mplus output

  • Advanced features – Discover powerful new features offered as part of the Mplus modeling software

  • Prepare to expand – Being able to do basic multilevel modeling in Mplus unlocks the potential for more advanced and complex modeling approaches.

Syllabus

Day 1

  • A tour of Mplus

  • Centering Tools

  • Two-Level Models with Fixed effects

  • Two-Level Models with Random effects

  • Cross-Level Interactions

Day 2

  • Output options

  • Using the Bayes Estimator

  • Plotting

Registration Options

Transitioning to Mplus for Multilevel Modeling

  • Professional
  • $599
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • Click Register Below
  • Trainee
  • $599 $399
  • 33% Discount for
    Students and Postdocs
  • Use code "TRAINEE" at Checkout

Combo 1: Transitioning to Mplus for Multilevel Modeling + Multilevel Structural Equation Modeling

  • Professional
  • $1423 $1139
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • 20% Combination Discount
  • Click Register Below
  • Trainee
  • $1139 $759
  • 33% Discount for
    Students and Postdocs
  • 20% Combination Discount
  • Use code "TRAINEE" at Checkout

Combo 2: Transitioning to Mplus for Multilevel Modeling + Simulation-based Power Analysis in Mplus

  • Professional
  • $898 $719
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • 20% Combination Discount
  • Click Register Below
  • Trainee
  • $719 $479
  • 33% Discount for
    Students and Postdocs
  • 20% Combination Discount
  • Use code "TRAINEE" at Checkout

Note: All registration options include access to video recordings of the workshop for continued access and for self-paced learning for those who cannot attend live. Recordings will be uploaded to the workshop page shortly after each day ends.

 FAQs

  • Investigators interested in transitioning to Mplus for doing multilevel modeling.

  • Intermediate

  • Prior knowledge of and experience with multilevel modeling is necessary and expected.

  • Mplus (with Multilevel Add On)

  • Participants will be provided with annotated example code and practice data.