Multilevel Models for Longitudinal Data

Instructors: Dan Bauer & Patrick Curran
Software: R, SPSS, SAS, and Stata
Lectures: 16 hours
Software Demonstrations: 5-7 hours per program
Evergreen Content: Continually updated
Lifetime Access: Materials never expire

Class Overview Video

Professional: $1039
Student: $799

Savings Opportunity: Get more content and save up to $350 with our Multilevel Modeling Bundle

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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: Get lifetime access to both this class and Multilevel Models for Hierarchical Data at a significant savings of $350 off the professional rate (or $250 off the student rate) relative to the total cost when purchased separately through our Multilevel Modeling Bundle. This gives you a total of 28 hours of pre-recorded lectures plus many more hours of pre-recorded demonstrations in R, SAS, SPSS, and Stata.

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

Goals of the Workshop

Our motivating goal is to provide an interactive and engaging instructional experience that focuses the application of multilevel models to repeated measures / longitudinal data, including both panel data and intensive longitudinal data. We strive to strike an equal balance between core concepts of the underlying statistical model along with the practical application and interpretation of multilevel models fitted to real empirical data. Our workshop is designed to provide participants with the materials and instruction needed to both develop a real understanding of the multilevel model and to be able to thoughtfully apply a variety of basic and advanced multilevel models to their own longitudinal data.

Who Should Attend

Our workshop is designed for graduate students, post-doctoral fellows, faculty, and research scientists from the behavioral, social, and health sciences.

Although it is recommended that participants have a working knowledge of the general regression model, these core concepts will be reviewed at the beginning of the workshop. Participants who would like a more thorough refresher on linear regression prior to attending may wish to watch our (no cost) Linear Regression Playlist on YouTube.

Syllabus

Chapter 1. Introduction
1.1 Goals and Designs Characteristic of Longitudinal Research
1.2 Dependence of Observations Within Person
1.3 Approaches for Analyzing Longitudinal Data

Chapter 2. Separating Intra- and Inter-Individual Variability
2.1 The Random-Effects ANOVA Model
2.2 Basics of Estimation and Inference

Chapter 3. Modeling Linear Change
3.1 Linear Trajectories of Change
3.2 Alternative Metrics of Time
3.3 Alternative Error Structures

Chapter 4. Modeling Nonlinear Change
4.1 Limitations of the Linear Trajectory Model
4.2 Quadratic Trajectory Models
4.3 Piecewise Linear Models

Chapter 5. Time-Invariant Predictors
5.1 Predicting Inter-Individual Differences in Change Over Time
5.2 Probing Simple Intercepts and Slopes
5.3 Plotting Simple Trajectories

Chapter 6. Time-Varying Predictors
6.1 Predicting Intra-Individual Variability
6.2 Disentangling Within- and Between-Person Effects
6.3 Limitations of Time-Varying Predictor Models

Chapter 7. Extensions and Next Steps
7.1 Summary of Core Topics Covered
7.2 Where to Go From Here: Extensions and Next Steps

Software Considerations

Recorded software demonstrations are provided using R, SAS, SPSS, and Stata.

Note that R can be downloaded for free. SAS offers SAS OnDemand at no cost to academics. SPSS offers a free 30-day trial.

While it is helpful to have some familiarity with one or more of these software programs, this is not necessary. The lectures which constitute the majority of the workshop are software-independent.

What is Provided

Participants receive lifetime access to all course materials, including complete course notes, lecture recordings, software demonstration notes, software demonstration recordings, and data and code for all examples. You can revisit these materials any time you like, without worrying about expiration dates. Pretty awesome, huh?

Content for this class is evergreen, meaning participants will always have access to the most current version of the course materials. Thus, if we replace a lecture recording or software demonstration, or update a syntax file, you will have immediate access to the updated content without needing to re-enroll in the class. Even more awesome.

Availability of Recordings

Certificate of Completion

After enrollment, you will have the option to generate a certificate of completion which will display your first and last name (as indicated in your user account), the name of the workshop, and the date upon which the certificate was generated. It can be printed to a PDF and will also be stored in the your user account for future access (after logging in to your account, select My Certificates from the user menu). Heck, you can even print out a hard copy and frame it to impress your friends.

Sample Content

Tuition Support for Students

We offer reduced-price registrations for undergraduate and graduate students who are actively enrolled in a recognized bachelor's, master's or doctoral training program. No application is necessary to qualify for the student tuition rates; simply choose the student rate when beginning the registration process at the top of the page. Confirmation of student status may be requested at a later time.

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.