Please join as the PDHP workshop series resumes on November 30th with “Applied Mutlilevel Models”, presented by Ryan Walters of Creighton University. This half-day workshop is geared toward data analysts of all skill levels, and will cover practical applications of multilevel models (including terminology, notation and interpretation of multilevel models). Attendees will also receive hands-on practice fitting multilevel models using Stata, SAS, SPSS, and R, using data from the American Community Survey. As always, this workshop is free and open to the public.

Topics covered:

• An overview of the multilevel model, including terminology and notation
• Understanding the difference between fixed and random effects
• How to include, interpret, and evaluate predictor variables across levels of analysis
• Hands-on practice with multilevel models in Stata, SAS, SPSS, and R, using data from the American Community Survey

Register here.