Introduction to Multilevel Modeling (Online Workshop)
Limited to 25 participants
Workshop Description
Multilevel models (also often referred to as mixed models or hierarchical models) are a class of statistical models that can be used when observations are not independent. Non-independence can occur when data is collected simultaneously on different units of analysis (e.g., data collected on both households and their individual members). This is frequently referred to as cross-sectional clustered data. Non-independence can also occur when data is collected on the same observational units repeatedly under different conditions or over time (e.g., annual data collected on subjects’ income). This may be referred to as longitudinal data or repeated measures data.
This online multi-part workshop, presented by The Cornell University Statistical Consulting Unit, will cover the theory and methodology of multilevel models and provide participants with the knowledge and skills necessary to confidently apply these methods to their own research. There will be two lectures which will focus on concepts, appropriate application, and interpretation of multilevel models. Many examples will be presented to enable participants to recognize when and how such models can be applied in their own research. This will be followed by two hands-on sessions consisting of an introduction to the R statistical software package and an introduction to fitting multilevel models in R. Participants should install the most recent versions of both R and RStudio on their computers prior to the workshop. To download and install R, visit https://cran.r-project.org/ and to download and install RStudio, visit https://www.rstudio.com.
The workshop is appropriate for faculty, research staff, graduate students, and advanced undergraduate students. No previous experience with multilevel models is necessary, but familiarity with linear regression will be helpful.
Online, 4 Session Workshop Overview & Schedule
Tuesday, October 8, 11:00AM - 1:00PM (AZ time)
Day 1: Lecture – Multilevel models and applications to clustered cross-sectional data
Thursday, October 10, 11:00AM - 1:00PM (AZ time)
Day 2: Lecture – Multilevel models and applications to longitudinal data
Tuesday, October 15, 11:00AM - 1:00PM (AZ time)
Day 3: Hands-on Session – Introduction to R
- Importing and manipulating data
- Exploratory data analysis
- Data visualization using the ggplot2 package
- Fitting linear regression models
Thursday, October 17, 11:00AM - 1:00PM (AZ time)
Day 4: Hands-on Session – Fitting multilevel models in R
- Multilevel data structures
- Visualizing longitudinal and clustered data using the ggplot2 package
- Fitting multilevel models using the lme4 package
- Assessing model assumptions
- Model testing and post-hoc comparisons
Workshop Fee - $50 (covers all four sessions)
Instructors - Cornell University
Location - Online
REGISTER HERE