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Multilevel Structural Equation Modeling - Online Course

A 6-Day Livestream Seminar Taught by

Kristopher Preacher
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm ET (New York time): Live session via Zoom
1:30pm-3:00pm ET: Live session via Zoom

Hierarchically clustered (multilevel or nested) data are common in the social sciences, medical fields, and business research. Clustered data violate the assumption of independence required by ordinary statistical methods. Increasingly complex research designs and hypotheses have created a need for sophisticated methods that go beyond standard multilevel modeling (MLM).

This course will introduce a variety of extensions to MLM, including cutting-edge multilevel structural equation modeling (MSEM) to handle complex designs and modeling objectives. Throughout the workshop, empirical examples will be presented to illustrate key concepts. A strong background in structural equation modeling (SEM) is not necessary.

Please note, this course will include all material from the on-demand seminar Multilevel Modeling: A Second Course

Starting May 18, we are offering this seminar as an 6-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. Participants are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if they are unable to attend at the scheduled time.

*We understand that scheduling is difficult during this unpredictable time. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions.

More details about the course content

Computing

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“I loved the MSEM course by Kris Preacher."

“I loved the MSEM course by Kris Preacher. The review at the start was a good refresher, but moved quickly into new concepts specific to MSEM. I really appreciated the code provided, the time left for questions, the practical applications, and covering logistical issues like convergence. It was a great course, and I feel prepared to use my new skills right away.”

Abby Braitman

Old Dominion University

“Kris is a thoughtful and patient instructor."

“Kris is a thoughtful and patient instructor. He fields questions easily and provides multiple examples pairing diagrams with equations with code and output.”

Hayley Treloar Padovano, Brown University

Hayley Treloar Padovano, Brown University

"We covered a wide range of fundamental topics in MSEM..."

“I came to this workshop with strong backgrounds in both MLM and SEM, but limited knowledge of MSEM. After reading a variety of papers prior to the course, I arrived with a long list of questions. At the end of the week, I am pleased to say that Kris answered each and every one of them. We covered a wide range of fundamental topics in MSEM, and I feel extremely confident in moving forward using these analyses in my own work. Kris is an excellent teacher and went above and beyond to make himself available to patiently answer everyone’s questions and help people with their own research. I would enthusiastically recommend this course (and Kris’s teaching in general) to students with SEM and MLM experience hoping to learn how to merge those methods!”

Timothy Hayes

Florida International University

"The MSEM course was extremely helpful..."

“The MSEM course was extremely helpful in fostering my statistical knowledge. I came into the course as a bit of a beginner, but Kris conveyed the material effectively to the variety of skill levels present in the classroom. I found the one-on-one consultation portion the most helpful, as I was allowed the opportunity to address my remaining questions from the material, along with my own statistical questions in my research. I would recommend the course to anyone looking to obtain a better understanding of MLM. I’m walking out of the course much better prepared in my statistical analyses.”

Claire Tomlinson

Indiana University