Longitudinal Structural Equation Modeling
Replay Access: Expires 1 year after purchase
Original Livestream: May 16-20, 2022
Instructors: Dan Bauer & Patrick Curran
Student: $795
Professional: $995
Longitudinal Structural Equation Modeling is a five-day workshop focused 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 and latent change score modeling. Topics include longitudinal factor analysis, autoregressive cross-lagged models, latent change score models, latent curve models, and observed and latent multiple group growth models (a.k.a. mixture 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, as described below.
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
In an effort to continually improve our instruction we obtain student evaluations with each course offering. Here is a sample of reviews from prior LSEM workshops:
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.
Quick Navigation
Self-Paced Workshops
Free Introduction to Structural Equation Modeling
Replay Access: 1 year
Recorded: May 11-13, 2022
Instructors: Dan Bauer & Patrick Curran
Causal Inference
Replay Access: 1 year
Recorded: December 15-17, 2021
Instructor: Doug Steinley
Network Analysis
Replay Access: 1 year
Recorded: June 6-10, 2022
Instructor: Doug Steinley
Multilevel Modeling
Replay Access: 1 year
Recorded: June 6-10, 2022
Instructors: Dan Bauer & Patrick Curran
Latent Class/Cluster Analysis and Mixture Modeling
Replay Access: 1 year
Recorded: May 23-27, 2022
Instructors: Dan Bauer & Doug Steinley
Applied Measurement Modeling
Replay Access: 1 year
Recorded: May 23-27, 2022
Instructors: Patrick Curran & Greg Hancock
Applied Research Design Using Mixed Methods
Replay Access: 1 year
Recorded: June 3-4, 2021
Instructor: Greg Guest
Introduction to Data Visualization in R
Replay Access: 1 year
Recorded: May 31-June 3, 2022
Instructor: Michael Hallquist
Modern Missing Data Analysis
Replay Access: 1 year
Recorded: June 1-3, 2022
Instructor: Craig Enders
Applied Qualitative Research
Replay Access: 1 year
Recorded: May 30-June 3, 2022
Instructors: Greg Guest & Emily Namey
Introduction to Quantitative Meta-Analysis
Replay Access: 1 year
Recorded: June 15-18, 2021
Instructor: Tasha Beretvas
Analyzing Intensive Longitudinal Data
Replay Access: 1 year
Recorded: June 13-17, 2022
Instructors: JP Laurenceau & Niall Bolger
Machine Learning: Theory and Applications
Replay Access: 1 year
Recorded: May 16-20, 2022
Instructor: Doug Steinley