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Multilevel and Mixed Models Using Stata - Online Course

A 3-Day Livestream Seminar Taught by

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

10:00am-12:30pm (convert to your local time)

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This seminar provides an intensive introduction to multilevel models, a class of regression models for data that have a hierarchical (or nested) structure. Common examples of such data structures are students nested within schools or classrooms, patients nested within hospitals, or survey respondents nested within countries.

Using regression techniques that ignore this hierarchical structure (such as ordinary least squares) can lead to incorrect results because such methods assume that all observations are independent. Perhaps more important, using inappropriate techniques (like pooling or aggregating) prevents researchers from asking substantively interesting questions about how processes work at different levels.

Starting October 11, we are offering this seminar as a 3-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. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. 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. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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“Stephen Vaisey is an incredible instructor."

Stephen Vaisey is an incredible instructor. He builds conceptual frameworks effectively, taking us step by step through the early stages so we can best understand final model specification. He’s an outstanding teacher. 

Starr Solomon

Kent State University

“I liked that this course was taught in a non-technical, non-jargon way...” 

“I liked that this course was taught in a non-technical, non-jargon way, and helped me understand the key fundamentals. 

Meril Antony

Rutgers University-Newark

"...I finished this course feeling like I understood multilevel modeling much better.” 

“I really loved this course; it’s been one of the most helpful statistical seminars I’ve ever taken (including in grad school)! I appreciated the use of real survey data for the lectures and exercises. By far, the most helpful thing about this course was the emphasis placed on the basic understanding of the variance components (as in a single-level regression model), where they came from, and how they could be generalized to a multilevel context. I also really liked the characterization of the fixed and random slopes and intercepts as one of three pooling variations. It really helped simplify things, and I finished this course feeling like I understood multilevel modeling much better.” 

Ally Williams

Beech Acres Parenting Center

“The instructor gave detailed explanations..."

“The instructor gave detailed explanations and made sure that we understood the background/theory instead of merely applying the syntax. I liked the overall course structure.”

Sophia Junker

Ingress-Health HWM GmbH

"...Professor Vaisey provides a strong and coherent conceptual framework for thinking about MLMMs"

“This course was excellent. I’ve read MLMM articles, I’ve read MLMM books, and I’ve taken an MLMM course from a different company. This course was more valuable than all of that because Professor Vaisey provides a strong and coherent conceptual framework for thinking about MLMMs, and for how to address multilevel research questions through an MLMM analysis. While the course covers the particular syntax to run to produce models, the emphasis is really on how to fruitfully think about these things so that one can obtain proper models addressing one’s question of interest. Professor Vaisey has it all at his fingertips and is really good at explaining and illustrating statistical concepts, both verbally and through demonstrations in code.”


Nick Huntington

Brandeis University

"This course was the perfect balance..."

“This course was the perfect balance between giving me an overall view of what multilevel and mixed models do, and practical applications. Steve Vaisey’s high energy delivery, sense of humor, and overall brilliance made this course engaging and impactful for me. Highly, highly recommended!”


Bob Reed

University of Canterbury

"... I highly recommend this course to anyone interested in this topic..."

“Fantastic course! I am a post-doctoral research fellow, so I have some prior stats training, although I am new to these multi-level methods. The course was taught in a way that someone new to the method could still get a lot out of the course, and advanced enough that some seemingly more advanced students could also still learn. The course was well-organized and thoughtfully-planned, and effectively used the Zoom and Slack platforms. The instructor, Dr. Vaisey, is a fantastic teacher – I really appreciated how well he integrated didactic material with ‘hands-on’ instruction in Stata. He is certainly an expert in the field, and taught the material and answered the many questions from students in a straightforward, engaging, and effective way. Overall, I highly recommend this course to anyone interested in this topic, and I look forward to taking future courses with Dr. Vaisey and with Statistical Horizons.”

Jackelyn Boyden

Children’s Hospital of Philadelphia