This two-day hands-on workshop covers various topics in multilevel modeling with continuous and categorical variables. Topics include:

  1. When multilevel analysis is necessary
  2. Multilevel regression
  3. Random slopes and cross-level effects
  4. Multilevel confirmatory factor analysis and the MIMIC model
  5. Multilevel path analysis
  6. Multilevel mediation and moderation
  7. Multilevel latent variable modeling and longitudinal data
  8. A-priori and post-hoc power analysis

Examples will be demonstrated in both R (using R-Studio) and Mplus. Syntax and output for both programs 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
$650.00
Post-Doc
$650.00
Standard
$850.00
  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
  1. Centering
  2. Random slopes
  3. Cross-level interactions
  1. Multilevel CFA with level 1 and 2 predictors
  2. Micro to macro relationships
  3. Macro to micro relationships
  1. Multilevel mediation
  2. Bootstrapping standard errors
  3. Bias-corrected confidence intervals
  1. Multilevel moderated mediation
  2. Plotting multilevel effects
  1. Multilevel latent variable modeling
  2. Longitudinal data within a multilevel framework
  1. A-priori power analysis for sample size
  2. Post-hoc power analysis

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 both R (using R-Studio) and 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.

The R software is available as a free download here, and the R-Studio software can be downloaded for free here.

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 Base program.

Handout materials and datasets will be provided.

Coffee/tea and light snacks will be provided in the morning and at each break.

To keep the costs down, lunch will not be provided, however there are plenty of options for lunch in the area.

The workshop will be held in room OJN 110 at the Centre for Continuing Education at McMaster University at 1 James Street North, Hamilton, Ontario, Canada. The building is located on James Street North, between King Street and King William Street.

If you are coming from Toronto:

Take Hwy #403 to the Main Street West / Hamilton Regional Rd 8 exit. Follow Main Street West to James Street South and then turn left onto James Street South.

If you are coming from London:

Take the #403 East to the Main Street West / Hamilton Regional Rd 8 exit. Follow Main Street West to James Street South and then turn left onto James Street South.

If you are flying:

There are two international airports close by:

Toronto Pearson International Airport, which is approximately 65 kms away (45 minute drive), handles flights from all around the world.

John C. Munro Hamilton International Airport, which is approximately 20 kms away (19 minute drive), handles flights from various locations in Canada and the United States.

There are a number of paid parking lots in the area. You will find a directory of the parking lots and prices here. You will also find additional parking and transit options here.

There are five hotels within 1km of the 1 James Street North building.

Sheraton Hamilton Hotel (website)
116 King Street West, L8P 4V3 Hamilton, Canada

Hamilton Plaza Hotel and Conference Centre (website.)
150 King Street East, L8N 1B2 Hamilton, Canada

Staybridge Suites Hamilton – Downtown (website)
20 Caroline Street South, L8P 0B1 Hamilton, Canada

Hamilton Guest House (website)
158 Mary Street, L8L 4V8 Hamilton, Canada

Days Inn by Wyndham Hamilton (website)
210 Main Street East, L8N 1H3 Hamilton, Canada

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.

There are many things to do and see in Hamilton, including the Royal Botanical Gardens, Dundurn National Historic Site, and the Art Gallery of Hamilton.

Tourism Hamilton is a good place to start if you are interested.

In addition, Niagara Falls is about a 50 minute drive (72 kms) away, and downtown Toronto is approximately 1 hour away by car (trains and busses are also available).

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 (CStat®) with the Royal Statistical Society and Professional Statistician (PStat®) with the American Statistical Association.

McMaster University -- Centre for Continuing Education

Room OJN 110 | 1 James Street North, Hamilton, Ontario, Canada L8P 1A2

Event Details