Moderation and mediation analyses are a common method employed in the social, behavioural, and health sciences research. In this two-day hands-on workshop we will cover the use of regression analysis in analyzing moderation (single and multiple moderators), mediation (simple, parallel, and serial), moderated mediation (first stage and second stage), dual moderated mediation, and moderated moderated mediation. In addition we will focus on the use of these methods with cross-sectional binary, categorical, continuous and count data.
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. Register and pay before May 31, 2017 and receive 15% off the registration fee (use coupon code: EARLY).
|Time||July 10, 2017||July 11, 2017|
|9:00 - 9:30||Welcome and overview||Review of previous day|
|9:30 - 10:30||Moderation analysis: Collinearity, centring and plotting effects||Moderated mediation II: Dual stage moderation|
|10:30 - 11:00||Break||Break|
|11:00 - 12:00||Simple mediation (incl. bootstrapping and confidence intervals)||Moderated mediation III: Variables with different measurement properties|
|12:00 - 1:00||Lunch||Lunch|
|1:00 - 2:30||Parallel and serial mediation||Moderated moderated mediation|
|2:30 - 3:00||Break||Break|
|3:00 - 4:30||Moderated mediation I: First and second stage mediation||Special issues when dealing with count data|
|4:30 - 5:00||Wrap-up||Wrap-up|
This workshop is for anyone interested in learning how to analyze moderators and mediators, moderated mediation and moderated moderated mediation, including the use of bootstrapped standard errors and bias-corrected bootstrapped confidence intervals. We will be focusing on the use of cross-sectional binary, categorical, continuous and count data.
Participants are encouraged to have a working knowledge of multiple regression. Hands-on examples will be demonstrated in Mplus, R (using the Lavaan package in R-Studio), and SPSS (using Hayes’ PROCESS macro). No prior knowledge of Mplus or the Lavaan package is required. A basic working knowledge of SPSS would be helpful.
We will be providing examples using three different software programs. Mplus, R (using the Lavaan package with R-Studio) and SPSS (using Hayes’ PROCESS macro). Please have either of these programs installed on your laptop prior to attending. If you do not own copy of Mplus, a free but limited demonstration version is available for download at the Mplus Website. R-Studio (free) can be downloaded here, while R (also free) can be downloaded here. A free trial version of SPSS is available here.
Handout materials and datasets will be provided.
Coffee and light snacks will be provided at the beginning of the workshop and at each break. While participants are on their own for lunch, there are plenty of great places to eat nearby.
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.