Multilevel Modeling using Mplus – Part I

In this first part, of the three part multilevel workshop, we will cover introductory topics in multilevel modeling with continuous and categorical variables. Topics include:

  1. When multilevel analysis is necessary
  2. Multilevel regression
  3. Random intercepts, slopes and cross-level effects
  4. Interpreting multilevel analysis

Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.

Registration and payment can be made directly online. We accept Visa, MasterCard, American Express, Cheques and Email Transfers.

We offer discounted pricing for graduate students and post-doctoral fellows.

Student
$225.00
Post-Doc
$225.00
Standard
$275.00
  1. Nested data structures
  2. Intraclass correlation and design effect
  3. Effects of ignoring clustering
  1. Fixed vs. random effects
  2. Intercept only model
  3. Adding level 1, 2, and 3 predictors

This workshop is for anyone interested in learning how to deal with clustered/nested data (ie: students nested within teachers) within a multilevel modeling framework. Participants are encouraged to have a working knowledge of multiple regression and an advanced understanding of structural equation model (see our Advanced Structural Equation Modeling workshop here).

No prior knowledge of Mplus or R is required.

For this hands-on workshop we will be working with Mplus. For those who are not working with any specific software, we provide all syntax and output for each example to allow for participation without the use of any software.

If you do not own a copy of Mplus, a free but limited demonstration version is available for download at the Mplus website. To run all of the examples used during the workshop, it is recommended that participants have a licensed copy of the Mplus program.

Handout materials and datasets will be provided.

Registration will continue until the workshop begins. If you need to cancel your registration, please contact us at info@enablytics.com.

Cancellations up to 30 days prior to the event will be refunded at 100%. Cancellations between 11 and 29 days prior to the event will refunded at 50%. There are no refunds for cancellations made 10 days before the event begins. Should you need to cancel your registration please keep in mind that we do not cancel any other arrangements you have made such as hotel accommodations.

If you registered by credit card, a 5% transaction fee will apply to any cancellation.

You may transfer your registration to another individual for free by contacting us at info@enablytics.com.

Scott Colwell, PhD is an associate professor at a major university in Ontario and is the co-founder of Enablytics. He has many years of experience teaching courses and workshops in research methods, applied statistics, and structural equation modeling to students from a variety of social, behavioural and health science disciplines. Dr. Colwell is an accredited Chartered Statistician (CStatĀ®) with the Royal Statistical Society and Professional Statistician (PStatĀ®) with the American Statistical Association.

A link and passcode to the livestream will be sent to all registered participants prior to the start of the event.

Materials will be made available for participants online for download. Please note, we currently do not have the ability to record the lectures for later use.

Event Details