You are here

Free Multilevel Modeling Webinars

SPSP Announcements logo

The SPSP Professional Development Committee is pleased to offer online training in Multilevel Modeling. Taught by Amie Gordon (University of California San Francisco), this training will be broken into two webinars.

A Practical Guide to Multilevel Modeling

Part 1 – September 26, 2018, 3:30 – 5:00 pm (ET)

Amie Gordon headshot
Amie M. Gordon, University of California San Francisco

 

Participants will learn about:

  1. Identifying if MLM is necessary – the first step in MLM is figuring out whether data actually violates assumptions of independence.
  2. Figuring out the nested structure of your data (including cross-classified models) – Identifying the sources of non-independence in your data, including the possibility of cross-classification.
  3. Approaches to dealing with non-independence – when to deal with non-independence through random versus fixed factors.
     

Part 2 – September 27, 2018, 2:00 – 3:30 pm (ET)

Amie Gordon headshot
Amie M. Gordon, University of California San Francisco

 

Participants will learn about:

  1. Fixed versus random effects – the difference between fixed and random effects and what changes in the analysis process when random slopes are allowed in the model.
  2. Grand-mean versus group centering – what they are and when to use them, unconfounding within and between person effects.
  3. Covariance matrices – cover the basics of the residual and random effects covariance matrices.

Attendees may take one or both classes.

For more information, pre-requisite knowledge, or to register, visit www.spsp.org/online-learning. There is no cost to for SPSP members. SPSP intends to make recordings of the content available to members following the Webinar.

Questions about content? Email Amie Gordon at Amie.gordon@ucsf.edu.

Questions about registration? Email Rachel Bader at rbader@spsp.org.

Suggestions for future online professional development? Email PD Committee Chairs Yoel Inbar and Vivian Zayas.

For more information on online training opportunities, click here.

 

Announcement Categories: 
Sidebar Items: 
Sidebar: Convention