Using Multilevel Modeling to Meta-Analyze Single-Case Experimental Design Studies’ Results

Session Type: Professional Development Course

Abstract

This course introduces graduate students and researchers to the use of multilevel models for meta-analyzing single-subject experimental design (SSED) studies and demonstrate how to complement visual analysis inferences with multilevel model analysis results. Participants only need be familiar with multiple regression analysis. The course will begin with an overview of multilevel modeling and how the model can be used for SSED meta-analysis of unstandardized data. Next, an overview of how to standardize and meta-analyze the standardized data will be demonstrated. Multiple, real-world examples will be provided as well as opportunities for guided practice for participants in the form of a series of hands-on activities. Copies of commented SAS, R and HLM code and output for every analysis will be provided.

Sub Unit

• Professional Development and Training Committee

Instructors

• Susan Natasha Beretvas, The University of Texas - Austin

• Wim Van den Noortgate, Katholieke Universiteit Leuven

• John M. Ferron, University of South Florida