PD26-05 Multilevel Modeling with International Large-Scale Assessment Databases Using R

Session Type: Professional Development Course

Abstract

This course offers a unique opportunity for participants to learn how to conduct multilevel modeling using data from international large-scale assessments (ILSAs), including TIMSS-2023, PIRLS, and PISA. Participants will learn how to specify two-level models using R as well as about model comparison, centering decisions and their consequences, with resources provided for estimating three-level models. Time will be allotted for hands-on exercises, with instructors available to support and answer participants' questions. Step-by-step demonstrations of each practice item will also be provided along with interactive activities for research networking opportunities throughout the course. Participants should have a solid understanding of Ordinary Least Squares (OLS) regression and a basic understanding of MLM. While prior knowledge of ILSAs—and prior experience using their databases—is not required, prior experience using R and basic programming skills for programs similar to R is essential. Participants will be informed prior to the course how to install the R and R Studio software as well as a specific R package to conduct MLM analyses.

Sub Unit

• Professional Development and Training Committee

Director

• Francis H. Lim Huang, University of Missouri

Instructors

• Umut Atasever, IEA Hamburg

• Andrés Christiansen, Katholieke Universiteit Leuven

• Alec Kennedy, IEA Hamburg