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Multilevel Modeling

May 7 - May 8

$650 – $850

This two-day hands-on workshop covers various topics in multilevel modeling with continuous and categorical variables. More specifically, we will cover:

  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

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.

Daily Schedule

Time Day 1 Day 2
9:00 - 9:30 Welcome and overview Review of previous day
9:30 - 10:30 1. When Multilevel is Appropriate
- Nested data structures
- Intraclass correlation and design effect
- Effects of ignoring clustering
5. Multilevel Path Analysis I
- multilevel mediation
- bootstrapping standard errors
- bias-corrected confidence intervals
10:30 - 11:00 Break Break
11:00 - 12:00 2. Multilevel Regression
- Fixed vs. random effects
- Intercept only model
- Adding level 1, 2, and 3 predictors
6. Multilevel Path Analysis II
- multilevel moderated mediation
- plotting multilevel effects

12:00 - 1:00 Lunch Lunch
1:00 - 2:30 3. Random Slopes & Cross-Level Effects
- Centering
- Random slopes
- Cross-level interactions
7. Latent Variables & Longitudinal Data
- multilevel latent variable modeling
- handling longitudinal data within a multilevel framework

2:30 - 3:00 Break Break
3:00 - 4:30 4. Multilevel CFA & MIMIC Model
- Multilevel CFA with level 1 and 2 predictors
- Micro to macro & macro to micro relationships

8. Power Analysis
- A-priori power analysis for sample size
- Post-hoc power analysis

4:30 - 5:00 Wrap-up Wrap-up

Who Should Attend

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.

Software and Materials

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 with either the Multilevel Add-On or the Combination Add-On. 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.

Directions

Located in beautiful downtown Toronto, Ontario, Canada, the workshop will be held at 330 Bay St., 8th Floor, Suite 830, Room 2.

If you are coming via GO Train or TTC, go to Union Station and take the Yonge-University line (North) to King Station. Walk west on King Street (200 metres) and then turn right on Bay Street. Walk about 170 meters north on Bay Street and the building will be on the west side of Bay 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. The closest lot is an Impark Parking lot at 333 Bay Street, Toronto. Further information 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.

Accommodations

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

Things to Do and See in Toronto

If you are coming from out of town and are interested in seeing some of the sites of Toronto, a list of local attractions can be found on the Toronto.com website here and on the See Toronto website here. A guide to getting around Toronto can also be found here.

About the Instructor

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.

Cancellation Policy

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.


Details

Start:
May 7
End:
May 8
Cost:
$650 – $850
Event Category:
Event Tags:

Organizer

Enablytics
Phone:
519-573-1221
Email:
info@enablytics.com
Website:
https://enablytics.com

Venue

Bay and Adelaide, Toronto, Ontario
330 Bay Street, Suite 830, Room 2
Toronto, Ontario M5H2S8 Canada
Phone:
519-573-1221
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