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Livestream Seminar

Intensive Longitudinal Methods

A 3-Day Livestream Seminar Taught by

Donald Hedeker
Course Dates:

Thursday, November 17  –
Saturday, November 19, 2022

Schedule: All sessions are held live via Zoom.

10:00am-12:30pm ET (New York time)
1:30pm-4:00pm ET Thursday, 1:30pm-3:30pm ET Friday & Saturday

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 November 17, 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. 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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Seminar outline

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References

“This was an excellent workshop!"

“This was an excellent workshop! Professor Hedeker explains a very difficult topic using great examples and with a great sense of humor.”

Thomas Svensson

The University of Tokyo

“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

"I highly recommend this workshop.”

“I feel the workshop is extremely helpful for statisticians as well as researchers who are doing EMA data analysis. The examples are straightforward. I highly recommend this workshop.”

Jing Wang

Henry M Jackson Foundation

"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

“This is a great course..."

“This is a great course for people with strong backgrounds in statistics looking to gain a deeper understanding.”

Thomas De Luca

Vanguard