Longitudinal Structural Equation Modeling

Instructors: Dan Bauer & Patrick Curran
Software: Mplus, R, and Stata
Lectures: 20 hours
Software Demonstrations: 5-7 hours per program
Evergreen Content: Continually updated
Lifetime Access: Materials never expire

Class Overview Video

Professional: $1299
Student: $999

Savings Opportunity: Get more content and save up to $400 with our Structural Equation Modeling Bundle

Registration Type

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Category: Asynchronous, Workshops

Longitudinal Structural Equation Modeling focuses on the application and interpretation of structural equation models fitted to repeated measures data. The analysis of longitudinal data (i.e., the repeated measurement of the same cases over time) has become fundamental in most areas of social and behavioral science research. There are many structural equation models available for analyzing repeated measures data, ranging from two time-point autoregressive models to complex multivariate latent curve models spanning multiple time periods. The goal of this workshop is to present a variety of longitudinal SEMs ranging from traditional methods to recent advances in latent curve modeling. Topics include longitudinal factor analysis, autoregressive cross-lagged models, latent curve models, separating within- and between-person effects, and multiple group growth models. This course offers a comprehensive examination of the SEM as a foundation for the estimation of a variety of models for testing hypotheses about stability and change in repeated measures data.

Note: Get lifetime access to both this class and Introduction to Structural Equation Modeling at a significant savings of $400 off the professional rate (or $300 off the student rate) relative to the total cost when purchased separately through our Structural Equation Modeling Bundle. This gives you a total of 40 hours of pre-recorded lectures plus many more hours of pre-recorded demonstrations in Mplus, R, and Stata.

Note: Longitudinal Structural Equation Modeling includes the same content as our shorter Latent Curve Modeling workshop with additional material on (1) longitudinal measurement modeling; (2) autoregressive cross-lag panel models; and (3) multiple groups latent curve models. Participants seeking coverage solely of the latent curve model without treatment of these additional topics may prefer the shorter workshop.

2:09 Class Content / 9:51 Materials Provided / 11:33 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 on a large number of both introductory and advanced topics in longitudinal structural equation modeling. We strive to strike an equal balance between core concepts of the underlying statistical models along with the practical application and interpretation of longitudinal SEMs 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 longitudinal SEM and to be able to thoughtfully apply a variety of basic and advanced models to their own 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. Participants without prior exposure to SEM may wish to consider first attending our Introduction to Structural Equation Modeling workshop. Our Structural Equation Modeling Workshop Bundle provides both workshops at a significant discount.

Syllabus

Chapter 1. Introduction and Summary of Traditional Models of Change
1.1 Introduction and Organization of the Workshop
1.2 Why Longitudinal Data are Needed
1.3 Raw Score Change versus Residualized Change

Chapter 2. Longitudinal Measurement Models and Factorial Invariance
2.1 The Measurement of Change
2.2 Assumptions Invoked When Modeling Change
2.3 Evaluating Measurement Invariance Over Time (Longitudinal Invariance)
2.4 The Longitudinal Confirmatory Factor Analysis Model

Chapter 3. The Autoregressive Cross-lagged (ARCL) Panel Model
3.1 Residualized Change as a Two Time-point Autoregressive Panel Model
3.2 Bivariate Autoregressive Cross-Lagged Models
3.3 Strengths and Limitations of the ARCL

Chapter 4. The Unconditional Linear Latent Curve Model (LCM)
4.1 Defining a Latent Growth Curve
4.2 Latent Growth Curves as a Confirmatory Factor Model
4.3 Intercept-only vs. Intercept and Linear Slope LCMs
4.4 Alternative Metrics of Time

Chapter 5. Nonlinear and Conditional Latent Curve Models
5.1 Modeling Nonlinear Trajectories: Quadratic, Piecewise, and Freed-Loading Models
5.2 Time-Invariant Covariates (TICs): Defining Main Effects and Interactions
5.3 Probing and Graphing Effects Between TICs and Growth Factors

Chapter 6. Multivariate Latent Curve Models
6.1 Time-Varying Covariates: Defining Contemporaneous and Lagged Effects
6.2 The Fully Multivariate Latent Curve Model
6.3 Separating Within- and Between-Person Effects: The RI-CLPM & LCM-SR

Chapter 7. Modeling Population Heterogeneity: The Multiple Groups Model
7.1 Population Heterogeneity in the Conventional LCM
7.2 The Multiple Groups Growth Model
7.3 Extensions of Multiple Groups LCM
7.4 Where to Go from Here

Software Considerations

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.

All material is also evergreen content, meaning that any course updates or added material will be immediately available to you no matter when you registered for the workshop.

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

One of the best statistical workshops I’ve ever taken, the first where I would go home and work for additional hours analyzing data or reading the notes for greater understanding of the material.

This workshop provides clear, understandable, and engaging teaching with wonderful resources for the future. Dan and Patrick are fantastic instructors, and they provide a very comfortable, enjoyable atmosphere for a week-long stats workshop.

This is the best option for training that will effectively prepare you to foray into the method. It greatly expanded my perspective on longitudinal analysis.

Excellent instructors, a great opportunity to clarify issues that I was always unsure about, helpful and comprehensive materials that are priceless!

The instruction was first-rate. It’s no surprise Curran & Bauer are award-winning instructors.