This two day hands-on workshop covers various topics in multilevel modeling with cross-sectional data. More specifically, we will cover when multilevel modeling is necessary, multilevel regression, multilevel path analysis with mediation, random slopes and intercepts, multilevel confirmatory factor analysis, latent variable multilevel modeling, and modeling cross-level effects. You will find information regarding the workshop below.
There are only 20 seats available so register early to secure your spot. Registration and payment can be made directly online. We accept PayPal, Visa, MasterCard, American Express, Cheques and Email Transfers.
|Time||August 14, 2017||August 15, 2017|
|9:00 - 9:30||Welcome and overview||Review of previous day|
|9:30 - 10:30||Intraclass correlation, design effects, and multilevel models||Multilevel path modeling with cross-classified data|
|10:30 - 11:00||Break||Break|
|11:00 - 12:00||Multilevel regression||Multilevel confirmatory factor analysis|
|12:00 - 1:00||Lunch||Lunch|
|1:00 - 2:30||Multilevel path analysis||Latent variable multilevel modeling|
|2:30 - 3:00||Break||Break|
|3:00 - 4:30||Multilevel path modeling with mediation, random slopes and intercepts||Cross-level effects in multilevel models|
|4:30 - 5:00||Wrap-up||Wrap-up|
This workshop is for anyone interested in learning how to deal with clustered/nested cross-sectional data (ie: students nested within schools) within a multilevel modeling framework. Participants are encouraged to have a working knowledge of multiple regression 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.
Located in beautiful downtown Toronto, Ontario, Canada, the workshop will be held at Ryerson University’s International Living and Learning Centre (ILC) at 240 Jarvis Street. The address and a Google map indicating the location can be found below.
If you are coming via GO Train, go to Union Station and take the Yonge-University line (North) to Dundas Station. The ILC is then just a ten minute walk from there. If you are taking the subway, just make your way to either Dundas Station (10 minute walk) or College Station (11 minute walk). You will find a map of the Toronto subway system here.
If you are driving, there is parking onsite on a first come first serve basis. Otherwise, you may find this interactive parking map helpful in locating additional parking. Alternatively, if you don’t wish to drive downtown, you could park at a subway station and take the subway.
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.
If you wish to book accommodations, rooms can be booked at the ILC through their website here. Alternatively, there are plenty of other hotels in the area to chose from.
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 firstname.lastname@example.org. 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 email@example.com.
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