Applied Multilevel Models
Ryan Walters
November 30, 2022, 1pm-5pm, Online Via Zoom
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 include:
- 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
Video:
Workshop video (including full chat log and audio transcript) is available here
Slides & Lab Materials:
- Workshop slides are available here
- All materials for the workshop (all slides, example code, and data sets) are available for download here as a zip file
Recommended Software:
The workshop will provide examples in Stata, SAS, SPSS (all standard installs will suffice), and R as configured below:
––R Studio (strongly recommended)
––R packages can be installed using the following code
# install R packages
install.packages(c("expss","haven","Hmisc","dplyr","describedata","lme4","nlme","lmerTest","VCA","performance"))