Introduction to Multilevel Modeling

Livestream: December 7-9, 2022
Replay Access: 1 year from end of workshop
Instructors: Dan Bauer & Patrick Curran

Student: $475
Professional: $595

Category: Livestream, Workshops

Introduction to Multilevel Modeling is a three-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist). It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so. Not only are tests of significance likely biased, but many important within-group and between-group relations cannot be evaluated. All of these limitations can be addressed within the multilevel model. In this workshop we provide a comprehensive exploration of multilevel models, including estimation of main effects and interactions, decomposing within- and between-group effects, and the analysis of repeated measures data.

Note: This workshop is a shorter version of the 5-day Multilevel Modeling Workshop we conduct each May/June. The 5-day workshop includes additional material on the analysis of three-level data, intensive longitudinal data, discrete outcomes, and diagnostics for checking model assumptions. Participants seeking in depth treatment of these more advanced topics may prefer to enroll in the 5-day workshop, with asynchronous access available now and a new Livestream planned for Spring 2022. The 3-day workshop is intended to be introductory.


Daniel J. Bauer, Ph.D.

Dan Bauer is a Professor and the Director of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina. He teaches primarily graduate-level courses in statistical methods, for which he has won teaching awards. Read More

Patrick J. Curran, Ph.D.

Patrick Curran is a Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Patrick has dedicated much of his career to the teaching and dissemination of advanced quantitative methods and has won awards in recognition of teaching excellence. Read More

Workshop Details


In an effort to continually improve our instruction we obtain student evaluations with each course offering. Here is a sample of reviews from our prior online offering of Introduction to Multilevel Modeling in December, 2020:

The lectures were extremely informative and the material is very helpful. I learned a lot in a short period of time. The online format worked surprisingly well. I'd prefer the online format even after Covid. Also, the lectures are very enjoyable!

The genuine friendship and humour between you is gold! Made it much, much easier to stay motivated (and awake, over here in Europe) than is usually the case in webinars. Examples, pace & amount of repetitions and summaries were well chosen.

This was a wonderful workshop! Dan and Patrick were incredibly engaging lectures, and it made the 6 am start time (PST) worth it! This type of workshop makes me excited about statistics and the amazing amount of information we can learn from data.  

I appreciated the scaffolded pedagogical approach. Each chapter reiterated what had been covered in previous chapters, which built my confidence and understanding. The pace of the course was just right.

The material was explained in a way that was accessible to me, as someone who is not particularly comfortable with complex equations. I also appreciated the different styles of the two lectures, as this provided a nice change of pace throughout.

I appreciated the engaging presentation style/humor. I learned a lot and thought that complex concepts were presented in a clear and understandable way. The hands-outs were great and extremely helpful!  

I am not very stats savvy and I found this to be very well-paced and comprehensible. I appreciated the repetition and review of concepts throughout the course! The materials, resources listed are excellent too.

This webinar really was worth the effort and money. It was well-structured, easy to follow, and clearly based on great teaching experience. Thanks to you I am no longer scared of MLM and finally know how to handle my data. Honestly, thanks guys!

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