Latent Variable Growth Modeling

This one-day hands-on workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Latent variable structural equation model creation, identification and evaluation
  2. Testing moderation, mediation and moderated mediation with Latent Variables
  3. Multiple group latent variable modeling
  4. Handling missing data
  5. Measurement invariance
  6. 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.

  1. Common methods for analyzing longitudinal data
  2. Model creation, identification and evaluation
  3. Data requirements
  1. Growth models without covariates
  2. Growth models with time invariant covariates
  3. Growth models with time varying covariates
  1. Fixed time scores
  2. Individual time varying scores
  3. Quadratic growth models
  1. Two-part models
  2. Parallel process models
  3. Missing data and a-priori power analysis

This workshop is for anyone interested in advancing their understanding of structural equation modeling. Participants are encouraged to have a working knowledge of multiple regression and an introductory understanding of structural equation model (see our Introductory Structural Equation Modeling workshop here).

No prior knowledge of R or Mplus 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.

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

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

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.

Event Details