Introduction to Multilevel Modeling using R Seminar

Mediation and Moderation Statistics Training Seminar

An introductory 3-day course introducing multilevel modeling for analyzing hierarchically organized data using R software.

Everything is nested, so you need something more than multiple regression or analysis of variance to get the job done! Nested data structures can include students within classrooms, professionals within corporations, patients within hospitals, or repeated observations from the same person. Multilevel modeling (MLM) is built to handle this kind of data. You will use real datasets and the R software environment to learn how to analyze multilevel data sets and interpret results of multilevel models.

Topics include:

  • Review of regression and methods of handling nested data
  • Random-intercept and random-slope models
  • Testing and interpreting interactions in multilevel models
  • Cross-sectional and Longitudinal multilevel models
  • Multilevel models for binary outcomes
  • Cross-classified random effects modeling

Participants will receive an electronic copy of all course materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the course.

Spring Camp: February 6 – 8, 2020
Atlanta, GA – Embassy Suites

FAQ –  Hotel Booking
$1,295 Faculty/Professional or $945 Student/Post-Doc

Payment Options

This Camp Is Now Closed


SEMINAR BEGINS – 9AM February 6, 2020

Address: 3285 Peachtree Road NE. Atlanta, GA 30305

Hotel Reservations: Follow link above or call the reservations team at 404-266-4828. Group rate has expired, you will need to book a room at the standard rate.

Room Start date: February 5, 2020
Room End date: February 9, 2020

Scheduled Social Event: 5:30 – 7:30pm in the Mezzanine area at the Embassy Suites Buckhead on 02/06/20 for all attendees. Please wear your Stats Camp name badges to claim your free drink ticket.

Lunch, snacks and drinks including coffee,
tea, and water will be provided daily. 

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.


This seminar is designed to introduce the fundamentals of multilevel modeling by extending knowledge of regression analyses to designs involving a nested data structures. Nested data structures include, for example, students within classrooms, professionals within corporations, patients within hospitals, or repeated observations from the same person. Hierarchically organized data require methods beyond multiple regression or analysis of variance. Such methods fall under the heading of multilevel modeling, which is also sometimes referred to as mixed-effects modeling, hierarchical linear modeling, or random coefficients modeling.

This seminar will help you begin to learn how to analyze multilevel data sets and interpret results of multilevel models. Cross-sectional and longitudinal models, the most common multilevel modeling applications, are featured in the seminar. Using real datasets provided in the seminar, participants will learn how to use the R software environment to analyze data and interpret results. Coverage of multilevel models for binary outcomes and cross-classified random effects modeling will also be included.

Topics include:

  • Review of regression and methods of handling nested data
  • Random intercept and random slope models
  • Testing and interpreting interactions in multilevel models
  • Longitudinal multilevel models

Note: This course will focus primarily on with a single outcome variable.  As such, this course will not provide an in-depth coverage of multilevel SEM (MSEM).  See the Summer Stats Camp course, Multilevel SEM with xxM, for training in this topic area.

Learning Objectives

After engaging in course lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:

  • Acquire an understanding of multilevel modeling techniques as applied in the educational, social, health, and behavioral sciences
  • Manage and clean multilevel data for analysis
  • Specify, estimate, evaluate, and compare different multilevel models using R software
  • Interpret and present the results of a multilevel modeling analysis
  • Critically evaluate applications of multilevel modeling in scientific studies
  • Become acquainted with multilevel modeling for binary outcomes and for non-purely hierarchical data

Participants will also complete the course with a foundation for future learning about multilevel modeling and knowledge about available resources to guide such endeavors.


ThursdayFebruary 6, 2020
9:00-9:30Welcome and introductions
9:30-10:45Introduction to Multilevel Modeling and Basics of R
10:45-11:00Snack and refreshment break
11:00-12:30Methods of handling nested data
12:30-1:30Lunch break
1:30-3:00Random effects
3:00-3:15Snack and refreshment break
FridayFebruary 7, 2020
9:00-10:45Estimation and model building
10:45-11:00Snack and refreshment break
11:00-12:30Centering and contextual effects
12:30-1:30Lunch break
1:30-3:00Longitudinal Models
3:00-3:15Snack and refreshment break
3:15-5:00Longitudinal Models (continued)
SaturdayFebruary 8, 2020
9:00-10:45Three-level and cross classified models
10:45-11:00Snack and refreshment break
11:00-12:30Binary outcomes
12:30-1:30Lunch break
1:30-3:00One-on-one consultations with instructor
3:00-3:15Snack and refreshment break
3:15-5:00One-on-one consultations with instructor

Instructor: Alexander Shoemann Ph.D.

Dr. Alexander M. Schoemann, is an Assistant Professor of Psychology at East Carolina University. Alex received his PhD from the University of Kansas in 2011 in Social and Quantitative Psychology under the mentorship of Dr. Kristopher Preacher. He has been a Stats Camp instructor since 2012 (after spending several years as a “counselor”). Alex teaches graduate courses in research design, regression, multivariate statistics, structural equation modeling and multilevel modeling. His research is focused on applying advanced quantitative methods to data from behavior sciences. Specific topics of interest include mediation and moderation, power analyses, missing data estimation, meta-analysis, structural equation models and multilevel models. Alex is also interested in developing user friendly software for advanced methods including applications for power analysis for mediation models (

Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi capabilities.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Note, however, that R and RStudio are the software programs that will be demonstrated. Both programs are free and can be downloaded from and, respectively. Additional directions will be shared with enrolled participants.

Seminar Prerequisites


  • Advanced proficiency in multiple linear regression, including use of categorical independent variables.
  • Intermediate fluency with statistical software (e.g. SAS, SPSS, or R) which will aid in the use of R (Note that materials for introducing attendees to R software will be shared in advance and the course will begin with a short introduction to R).

Not required but advantageous:

  • At least limited experience (e.g., graduate-level course) with multivariate data analysis.
  • At least limited experience in binary logistic regression
  • At least limited experience using R

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Multilevel Modeling.
  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Seminar Files

Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Seminar files and downloads will be posted on the first day of class.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily