CS&SS Seminar: Elizabeth Sanders on Clustered Data Analytic Options (11/29/23)
Posted: 11/26/2023 ()
On Wednesday, Nov. 29th from 12-30-1:30, CS&SS will host Dr. Elizabeth Sanders (Associate Professor, Measurement and Statistics) in 409 Savery Hall and on Zoom (register here). In this presentation Dr. Sanders will discuss the major ways clustered data can be analyzed, especially when we only care about lower-level research questions, along with results from my own work showing how to avoid lower-level fixed effect coefficient (slope) bias, and why it’s especially important for multilevel modeling alternatives. If time permits, Dr. Sanders will also present some work on statistically comparing two predictors’ slopes from the same model, including for frequentist and Bayesian multilevel models. R code and sample data will be provided. Learn more about the talk here.
Dr. Liz Sanders is Associate Professor in the College of Education’s Measurement & Statistics program. Her research focuses on evaluating applied analytic methods for handling clustered data. Outside of work, Liz loves running.
Date: 11/29/2023
Time: 12:30-1:30PM
Location: 409 Savery Hall and Virtual