- This event has passed.
Introductory Structural Equation Modeling
May 5$325 – $425
This one-day hands-on workshop covers various introductory topics in structural equation modeling with continuous and categorical variables. Topics include:
- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Path analysis
- Testing direct and indirect effects
- Confirmatory factor analysis
Syntax and output for both Mplus and R will be provided for all examples covered in the workshop.
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.
We offer discounted pricing for graduate students and post-doctoral fellows.
|9:00 - 9:30||Welcome and overview|
|9:30 - 10:30||1. Concepts of Structural Equation Modeling - Assumptions and data considerations - Notation use in SEM - Software considerations|
|10:30 - 11:00||Break|
|11:00 - 12:00||2. Path Analysis I - Variance / covariance matrix decomposition - Model creation, identification and evaluation - Multiple regression vs. path analysis|
|12:00 - 1:00||Lunch|
|1:00 - 2:30||3. Path Analysis II - Testing direct and indirect effects - Adding moderators and testing moderated mediation - Nested model comparisons|
|2:30 - 3:00||Break|
|3:00 - 4:30||4. Confirmatory Factor Analysis - Exploratory and confirmatory factor analysis - Modification indices - MIMIC model - Assessing reliability and validty|
|4:30 - 5:00||Wrap-up|
This workshop is for anyone interested in gaining an introductory understanding of structural equation modeling. Participants are encouraged to have a working knowledge of multiple regression.
No prior knowledge of Mplus or R is required.
For this hands-on workshop we will be working with both Mplus and R using R-Studio. 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 Base program. The R software is available as a free download here, and the R-Studio software can be downloaded for free here.
Handout materials and datasets will be provided.
A continental breakfast will be served at the beginning of each day. Coffee/tea and light snacks will be provided at each break. A light lunch (including vegetarian and gluten free options) will be provided each day. For those who wish to explore other dining options, there are plenty of restaurants in the area.
Located in beautiful downtown Toronto, Ontario, Canada, the workshop will be held at 250 Yonge Street (Toronto Eaton Centre), Suite 2201.
If you are coming via GO Train or TTC, go to Union Station and take the Yonge-University line to Queen Station. Walk approximately 200 meters north on Yonge Street. The building will be on the west side of Yonge Street. You will find a map of the Toronto subway system here.
If you are coming by car, there are a number of parking lots within walking distance however, the closest will be the IMPark Eaton Centre-Yonge Parkade. Further information about this parking lot may be found here. Alternatively, if you don't wish to drive downtown, you could park at a subway station and take the subway. You will find a list of subway stations with parking here.
If you are coming from Toronto Pearson International Airport, the Union Pearson Express will take you from the airport to downtown Toronto in 25 minutes and runs ever 15 minutes from 5:30am to 1:00am. See the Union Pearson Express website for more information and to purchase travel tickets.
There are a number of hotels below (with links) within a 10-15 minute walk from the workshop location.
Delta Hotels by Marriott Toronto (approx. 15 min walk) 75 Lower Simcoe Street Toronto, Ontario, M5J 3A6 Phone: (416) 849-1200
Fairmont Royal York (approx. 15 min walk) 100 Front Street West Toronto, Ontario, M5J 1E3 Phone: (416) 368-2511 Toll Free: (866) 540-4489
Hilton Toronto (approx. 15 min walk) 145 Richmond Street West Toronto, Ontario, M5H 2L2 Phone: (416) 869-3456
Hotel Le Germain Maple Leaf Square (approx. 15 min walk) 75 Bremner Boulevard Toronto, Ontario, M5J 0A1 Phone: (888) 940-7575
InterContinental Toronto Centre (approx. 15 min walk) 225 Front Street West Toronto, Ontario, M5V 2X3 Phone: (877) 660-8550
Sheraton Centre Toronto Hotel (approx. 15 min walk) 123 Queen Street West Toronto, Ontario, M5H 2M9 Phone: (416) 361-1000
The Strathcona Hotel (approx. 15 min walk) 60 York Street Toronto, Ontario M5J 1S8 Phone: (416) 363-3321
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. Additional information can be found here.
Registration will continue until the workshop begins. If you need to cancel your registration, please contact us at email@example.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 firstname.lastname@example.org.