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Intensive Longitudinal Methods - Online Course

A 4-Day Livestream Seminar Taught by

Donald Hedeker
Course Dates:

Tuesday, July 30  –
Friday, August 2, 2024

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

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

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Innovative methods of data collection often produce large numbers of repeated measurements for each individual. Variously known as ecological momentary assessments (EMA), experience sampling method (ESM), and daily diary (DD), these methods have been developed to record the momentary events and experiences of subjects in daily life. They usually involve self-reports from individuals, dyads, families, or other small groups over the course of hours, days, and weeks. Data produced by these methods are commonly referred to as intensive longitudinal data.

Although there is much to be learned from such data, conventional methods of analysis are often unsuited to the task. In this seminar, you will learn how to analyze intensive longitudinal data by way of mixed models, also known as multilevel or hierarchical linear models. The course begins with the basic 2- and 3-level model, and then proceeds to more extended uses of these models.

One of the extended uses of these models is to model the variances. In the standard mixed model, the error variance and the variance of the random effects are assumed to be constant across individuals. When there are many observations per individual, it becomes practical to allow those variances to vary randomly across individuals, as well as to depend on other covariates including time itself. Besides making the models more realistic, additional substantive insights can be gleaned by modeling both means and variances.

Starting July 30, we are offering this seminar as a 4-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. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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“I learned a lot from this course..."

I learned a lot from this course and I found it very helpful! I was surprised by how easy it was to follow, considering the complexity of the materials. It was very well taught! I liked the level of detail that went into explaining everything. I appreciated that Don didn’t try to take it too seriously, and added in personal stories and jokes here and there, making the course enjoyable and engaging. 

Asha Worsteling

Queensland University of Technology

"The professor was so patient and provided a lot of examples that made the course easy to follow.”

“I liked that even though it was a pretty advance subject, the professor was so patient and provided a lot of examples that made the course easy to follow.”

Desiree Vidana-Perez

University of South Carolina

"The instructor provided great example data and code..."

“I work with longitudinal data constantly and have done so for a decade. Now that I have learned the methods from this course, I wish I could go back and reanalyze all the longitudinal data from my past to perform more comprehensive analyses. Standard mixed modeling is only the tip of the iceberg. The instructor provided great example data and code and a very comprehensive introduction to each new methodology.”

John Merranko

University of Pittsburgh Medical Center

“The professor was very clear and thorough."

The professor was very clear and thorough. I loved the information about modelling variability. I kept messaging my colleagues with new research questions we could address using these techniques. I also appreciated the access to software that makes these analyses very straightforward to run. 

Diane Holmberg

Acadia University

"The use of real datasets and clinical examples was excellent.”

“I appreciated the way the instructor reinforced all of the theory and math with applied examples, making everything feel much more accessible. His sense of humor made him very accessible. The use of real datasets and clinical examples was excellent. 

Sam Battalio

Northwestern University

“This course is a great introduction to intensive longitudinal methods..."

“This course is a great introduction to intensive longitudinal methods as a ‘novice’ to begin to understand the conceptual rationale of different analyses of EMA data. Dr. Hedeker is a fantastic instructor. This is a great course for training/career dev. grantees who desire more training in this area.”

Alexandra Psihogios

Children’s Hospital of Philadelphia

“Dr. Hedeker is a wonderful instructor!"

“Dr. Hedeker is a wonderful instructor! He provided clear descriptions of various approaches to analyzing EMA data, and opportunities for us to practice with example datasets. He was very helpful and willing to answer any and all questions. I would highly recommend the course.”

Elizabeth Dalton

Elizabethtown College

"I highly recommend this course to anyone who uses intensive longitudinal data..."

“This course is a great help in learning basic concepts and statistical skills on mixed models, particularly for mixed location-scale models. I highly recommend this course to anyone who uses intensive longitudinal data and advanced statistical techniques.”

Nayoung Kim

University of Wisconsin

"This course was rich in content – depth and breadth."

“Dr. Hedeker is a fantastic teacher. This course was rich in content – depth and breadth. Highly recommend to anyone using ESM.”

Brittany Lambert

University of Colorado, Boulder