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Multilevel and Mixed Models Using R - Online Course

A 3-Day Livestream Seminar Taught by

Stephen Vaisey
Course Dates:

Thursday, December 15 –
Saturday, December 17, 2022

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-12:30pm (convert to your local time) Thursday-Saturday
1:30pm-4:00pm Thursday, 1:30pm-3:30pm Friday & Saturday

Multilevel models are 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 December 15, 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.

More details about the course content

Computing

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Seminar outline

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“The instructor was extremely responsive and attentive to our needs as a group."

“The instructor was extremely responsive and attentive to our needs as a group. He answered questions on call during the sessions, and through the Slack channel as well. Additionally, I really enjoyed the deep dive into within/between variance at the beginning of the course, as this laid the groundwork for the rest of the course and was very, very informative. I truly appreciated his presentation style and approachability (even through an online course).” 

Tasia Brafford

The University of Texas at Austin 

"Incredible that he answered EVERY question we asked during the sessions."

“Stephen is very friendly and extremely knowledgeable.  Stephen took time to explain difficult concepts. Incredible that he answered EVERY question we asked during the sessions. Enjoyed the exercise as well and the fact that answers were provided.   The course was very pleasant despite the fact that it is exclusively online.” 

Zoé Ejebu

University of Southampton

"... he was very helpful in addressing students’ questions..."

“I appreciated the lecturer’s focus on providing the reasons why mixed models should be used and clarifying with examples “where” the variance may lie. Also, he was very helpful in addressing students’ questions and indicating the complexity of this topic due to terminology that varies across fields.”

Luisa Mimmi

Ministry of Finance

“Steve was engaging and provided a solid conceptual foundation of MLM."

“Steve was engaging and provided a solid conceptual foundation of MLM. Working through examples and interpretations of results was helpful.”

Rachel Siciliano

Vanderbilt University

"Dr. Vaisey’s teaching style made the course enjoyable..."

“I took Dr. Vaisey’s Multilevel and Mixed Models Using R workshop remotely, watching the Zoom lectures. Even through this truly remote course, Dr. Vaisey’s teaching style made the course enjoyable and incredibly informative and helpful. His emphasis on ensuring we understood the fundamentals of MLMs as opposed to just learning R code or “what can I do with my dataset” gave me a strong foundation of understanding MLMs, their applications, and interpretations. Dr. Vaisey also worked through “office hours” or lab sessions in which he applied MLMs to examine a dataset and answer research questions, and altogether the lectures and labs reinforced learning in a structured way. I couldn’t recommend this course with Dr. Vaisey any more strongly!”

Jean Ho

University of California, Irvine

"I came out of this course feeling much more confident in multilevel and mixed model analysis.”

“Dr. Vaisey was an amazing instructor. He explained complex models clearly and practically and in a way in which I could also apply the information to my own research. I came out of this course feeling much more confident in multilevel and mixed model analysis.”

Tara Powell

University of Illinois

"I found the classes to be MUCH more enjoyable than any typical math or coding class."

“Stephen’s explanations of things- and his metaphors- made it easier to grasp what is essentially a very complex and math-heavy process. He’s very personably, funny, and engaging. I found the classes to be MUCH more enjoyable than any typical math or coding class. Second, the exercises and code he provided facilitated us learning the material in a more hands-on way.” 

 

Alisha Bruton

Oregon Health & Science University