Statistical Methods Course Description
Overview: An introduction to multilevel modeling analyses. Topics include fixed and random effects, centering predictors, cross-level interactions, contextual effects, growth curve modeling, binary outcomes, and power and sample size. Hands-on practice with HLM software is provided.
Instructor: Audrey Leroux
is an Assistant Professor of Research, Measurement, and Statistics in the Department of Educational Policy Studies at Georgia State University’s College of Education and Human Development. She received her doctorate in Quantitative Methods in the Department of Educational Psychology at The University of Texas at Austin under the mentorship of Dr. Tasha Beretvas. Dr. Leroux teaches graduate courses in regression and introductory and advanced hierarchical linear modeling. Her research evaluates innovative models and applications in computerized adaptive testing and multilevel modeling. Specifically, her publications have focused on novel procedures within item exposure controls and stopping rules in computerized adaptive testing, as well as extensions to conventional multilevel modeling that handle individual mobility.
Software and Computer Support
Participants should bring a laptop computer. Instruction will be provided for the methods using the most current version of HLM 7 (student edition). The student edition of HLM 7 is free but only available for Windows (http://www.ssicentral.com/hlm/student.html).
Note: This course will also require the use of SPSS, SAS, Stata, R, or any other software of your choice for data cleaning.
Participants will receive an electronic copy of all course materials, including PowerPoint slides, output files, relevant supporting documentation, and recommended readings.