Longitudinal Structural Equation Modeling (SEM) Seminar

Longitudinal Structural Equation Modeling (SEM) Statistics Seminar

A comprehensive 3-day Stats Camp seminar on Longitudinal SEM.

This camp is an intensive seminar consisting of lectures, discussions and one-on-one consultations to provide participants with advanced training in SEM for the analysis of longitudinal data.

Topics include:

  • Design and measurement issues in cross-sectional and longitudinal research
  • Traditional panel designs
  • Overview of missing data
  • Latent growth curve modeling
  • Testing for Mediation and Moderation
  • Multilevel and multiple group SEM
  • Using Phantom Constructs
  • Multiple group modeling

UCLA Stats Camp: September 17 – 19, 2018
9am – 5pm Daily
University of California Los Angeles

Seminar Venue:
UCLA – 5628 Math Sciences – “The Portal”
View Class Location on a Map

Travel Information

Lunch and snacks plus select drinks including coffee, tea, and water will be provided. There will be a vegetarian option for lunch.

Question? Please contact us for more info or visit our FAQ page.

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Payment Options

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:
$1,095 Faculty/Professional or
$945 Student/Post-Doc
Limited Seating Available. Register soon!

Learning Objectives

This comprehensive 3-day statistics training institute on Longitudinal SEM will enable participants to:

  • Understand the strengths and weaknesses of the different models that can be applied to longitudinal data.
  • Develop a clear understanding of how the models can be specified and adapted to address the specific needs and questions of the investigator.
  • Gain knowledge of the ways in which one should formulate models test alternative models, and evaluate models with regard to statistical and practical significance.


Monday September 17, 2018
9:00-10:45 Welcome and Introductions. Overview of Longitudinal Models
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Design and Measurement Issues in Longitudinal Modeling
12:30-1:30 Lunch Break
1:30-3:15 Missing Data: Planned and Unplanned
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Review of Foundations of SEM
Tuesday September 18, 2018
9:00-10:45 Parcels and Parceling
10:45-11:00 Snacks and Refreshment Break
11:00-12:30 Longitudinal Panel Models: Basics
12:30-1:30 Lunch Break
1:30-3:15 Multiple-group Longitudinal Panel Models; CFA and SEM
3:15-3:30 Snack and refreshment Break
3:30-5:00 Wrap-up then Individual Consultations
Wednesday September 19, 2018
9:00-10:45 Longitudinal Mediation
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Longitudinal Moderation
12:30-1:30 Lunch Break
1:30-3:15 Latent Growth Curve Modeling: Basics
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Latent Growth Curve Modeling: Multivariate and Multiple Groups

Instructor: Todd D. Little Ph.D.

Todd D. Little, PhD is a Professor and director of the Institute for Measurement, Methodology, Analysis and Policy at Texas Tech University. He is widely recognized for his quantitative work on various aspects of applied SEM (e.g., modern missing data treatments, indicator selection, parceling, modeling developmental processes) as well as his substantive developmental research (e.g., action-control processes and motivation, coping, and self-regulation). His work has garnered over 26,596 citations with an h-index of 81 and an i10-index of 186. In 2001, he was elected to membership in the Society for Multivariate Experimental Psychology, and in 2009, he was elected President of APA’s Division 5 (Evaluation, Measurement, and Statistics). He is a fellow in APA, APS, and AAAS. In 2013, he received the Cohen award from Division 5 of APA for distinguished contributions to teaching and mentoring and in 2015 he received the inaugural distinguished contributions award for mentoring developmental scientists from the Society for Research in Child Development. Both awards cited his founding of Stats Camp (Statscamp.org) in 2003 and its ongoing impact on shaping the quality of scientific inquiry for both past and future generations of researchers. Download CV (PDF)

Instructor: Elizabeth Grandfield Ph.D. Candidate

Elizabeth is a doctoral student in Quantitative Psychology at the University of Kansas. Her research focuses on evaluating measurement invariance with anemphasis in longitudinal designs. In areas of applied research, Elizabeth has been involved in longitudinal children studies at Juniper Gardens as well as a national nursing study at Kansas University Medical Center, both in Kansas City. She also received the 2011 Multivariate Software Award, presented by Peter Bentler and Eric Wu. Elizabeth has been involved in Stats Camp since 2012.

Software and Computer Support

If you already have a strong background in the application of SEM to analyze the covariance structure of multivariate data and you need to learn how to apply more advanced models to longitudinal data, this seminar is for you. We strongly recommend that you attend our five-day intensive summer institute on SEM Foundations as a pre-requisite to taking this 3-day advanced seminar. If you have not taken the foundations Seminar, you should have extensive experience or have taken a graduate-level seminar on SEM before enrolling.

Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the seminar.

The seminar will support LISREL, Mplus or Laavan. Some assistance will be available for questions related to other structural modeling packages. Previous knowledge of LISREL, Mplus or Laavan is preferred but not required.

Seminar Files

Seminar files and downloads will be posted on the first day of class.

Seminar Certificate

Upon completion of the seminar you may request an official Stats Camp print-ready PDF certificate.  Please contact us here to request a digital copy.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources