This two day hands-on workshop covers various topics in growth modeling (longitudinal modeling). More specifically, we will cover growth modeling without covariates, growth modeling with time invariant and varying covariates, centering points, piecewise growth modeling, autoregressive latent trajectory modeling (ALT model), and missing data in growth modeling. You will find information regarding the workshop below.
Registration and payment can be made directly online. We accept PayPal, Visa, MasterCard, American Express, Cheques and Email Transfers.
This workshop is for anyone interested in learning how to model longitudinal data with Growth Modeling. Participants are encouraged to have a working knowledge of multiple regression, longitudinal data, and an introductory understanding of structural equation model (see our workshop on Introductory Structural Equation Modeling). No prior knowledge of Mplus is required.
For this hands-on workshop we will be working with the Mplus software. If you do not own copy of Mplus, a free but limited demonstration version is available for download at the Mplus Website.
Handout materials and datasets will be provided.
Coffee and light snacks will be provided at the beginning of the workshop and at each break. Participants are on their own for lunch. There are plenty of locations to eat close to the hotel and in the hotel itself.
The workshop will be held at the Admiral Inn and Suites in Mississauga. The address and a Google map indicating the location can be found below.
If you are coming via GO Train, the Clarkson GO Station (on the Lakeshore Line) is 2.5 kilometres away. It is approximately 6 minutes by car/taxi, 16 minutes by bus and 30 minutes on foot.
If you wish to book a room at the hotel, please contact the hotel directly at 905-403-9777 or toll free at 1-866-236-4660 or through their Admiral Inn Mississauga website.
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.
Registration will continue until the workshop begins. If you need to cancel your registration, please contact us at email@example.com. Cancellations up to 15 business days prior to the event will be refunded at 100%. Cancellations between 10 and 14 days prior to the event will refunded at 50%. There are no refunds for cancellations made 9 business 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.
You may transfer your registration to another individual for free by contacting us at firstname.lastname@example.org.
16 people are attending Growth Modeling (Longitudinal) with Mplus