Multilevel Modeling Course

March 9 – 11, 2017
Atlanta, Georgia
Embassy Suites by Hilton

Payment Options

Statistics Course Objectives

This course is intended to give participants the knowledge and understanding necessary to identify and effectively execute multilevel modeling analyses using HLM 7 software that might be most appropriate for their research questions. The course is also intended to provide a foundation for future learning about multilevel modeling and resources to guide such endeavors.

The 3 day mini-camp on multilevel modeling will enable participants to:

  • Understand when to use the analysis
  • Understand how to conduct the analysis
  • Develop an understanding of interpreting the output from the analysis
  • Develop skills for communicating about the design, analysis, and results.

Course Syllabus

Thursday March 9, 2017
9:00-9:30 Welcome and introductions
9:30-10:45 From regression to multilevel modeling
10:45-11:00 Snack and refreshment break
11:00-12:30 Random effects
12:30-1:30 Lunch break
1:30-3:00 Estimation & introduction to HLM software
3:00-3:15 Snack and refreshment break
3:15-5:00 Centering
Friday March 10, 2017
9:00-10:45 Model building & model testing
10:45-11:00 Snack and refreshment break
11:00-12:30 Interactions & contextual effects
12:30-1:30 Lunch break
1:30-3:00 Growth curve modeling
3:00-3:15 Snack and refreshment break
3:15-5:00 Diagnostics and assumption checking
Saturday March 11, 2017
9:00-10:45 Binary outcomes
10:45-11:00 Snack and refreshment break
11:00-12:30 Power and sample size
12:30-1:30 Lunch break
1:30-5:00 Individual consultations

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Course Resources
  • Breakfast (For Students Staying At Venue Hotel)
  • Lunch, and All-Day Tea/Coffee/Snack Service
  • After Class Networking Mixers

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 (

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.

Multilevel Modeling Seminar Audrey Leroux