This tutorial is a full-day tutorial. The following schedule is preliminary in nature. We plan to adjust the schedule to the learning pace of participants throughout the tutorial.
|09:00-09:30am||Intro, aims, scope, usefulness|
|09:30-10:30||A Primer in Regression|
|11:00-11:30||Measurement Models (incl. hypotheses about mediation and moderation), graphical representation, covariance vs. variance based estimation|
|11:30-12:00||Hands-On: Graphical representations (by hand)|
|12:00-12:30||PLS-Algorithm at a glance|
|13:30-15:30||Hand-On: Estimation and Interpretation (defining the model, estimating it, interpreting its results)|
Things you need to bring along
You will need to bring along your own laptop computer (or similar mobile device) running GNU R and your preferred IDE for writing R scripts on it.
A list of packages you should have installed prior to the tutorial will be posted here by April 8th, 2019.