Multilevel Models for Longitudinal Data

Length: 16 hours
Instructors: Dan Bauer & Patrick Curran
Lecture Recordings: Lifetime Access
Software Demonstrations: R and SPSS
Evergreen Content: Materials Continually Updated
Livestream Available: December 10-13, 2024, 10:00 am – 3:30 pm ET (US time)

Class Overview Video

Student: $792
Professional: $1032

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Category: Asynchronous, Workshops

Multilevel Models for Longitudinal Data focuses on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, to repeated measures data. The analysis of longitudinal data (i.e., the repeated measurement of the same cases over time) is fundamental in nearly all areas of social and behavioral science research. Multilevel models provide a natural framework within which to account for dependence of observations within person over time, describe and predict within-person versus between-person variability, and model individual differences in stability and change over time (e.g., fit growth models). Participants in this workshop will learn how to conceptualize, specify, apply, and interpret a variety of MLMs for repeated measures data.

Note: For those who may be interested, we also offer Multilevel Models for Hierarchical Data, which provides a thorough treatment of the application of these models to hierarchical data structures, such as students nested within schools, siblings nested within families, or patients nested within providers.


1:47 Class Content / 11:26 Materials Provided / 14:01 Learning Objectives

Instructors

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 multiple 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. He is dedicated to teaching and disseminating advanced quantitative methods and has won multiple awards for teaching excellence. Read More

Workshop Details

Reviews

Thank you for such an amazing workshop! I learned so much and cannot wait to dig into my dissertation data!

The concepts and practical applications are hard for me, but in this class I really felt like I’ve had some Eureka moments. It really came together for me. I think that speaks to both of your teaching abilities, the format of the class, and the organization of the materials. I love the dynamic between you two and your teaching styles complement each other well. I had a blast, a really good time, and loved it.

Everything is a strength -- balance between lecture/practical, the pace at which the material is delivered, the course material/resources, etc. Really just everything.

The workshop does a great job of explaining MLM on a conceptual level and provides useful examples to better understand the modeling. The instructors were great at teaching the material and were very open to answering questions.

This workshop strikes a perfect balance between theory and practical applications. I particularly appreciated this as my MLM grad class was several years ago, so this was a refresher and an extension now that I have the data to actually analyze.

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