Longitudinal SEM Seminar
Session 2: June 14 - 18, 2021
Venue: Virtual Live Zoom Meeting Room
FAQ - Virtual | Seminar begins daily at 9am CDT
$1,895 Faculty/Professional or $1,145 Student/Post-Doc
Seminar fee includes all materials, downloads, software access, training and access to a recorded video of seminar:
Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.
Learning Objectives:
The five-day training institute on Longitudinal SEM will enable participants to:
- Address design and measurement issues in longitudinal modeling.
- Acquire understanding of the SEM concepts that are foundational to longitudinal SEM design.
- Analyze longitudinal panel models in both a single group and multi-group configuration in CFA and SEM framework.
- Incorporate mediation and moderation in a longitudinal framework.
- Construct item parcels in a longitudinal framework.
- Evaluate latent growth curve models.
- Apply latent growth curve models in a multivariate and multiple group context.
- Evaluate finite mixture models.
- Interpret and evaluate covariance pattern mixture models.
- Evaluate Growth mixture models.
- Address missing data using FIML and MI methods.
- Use modern missing data treatments to implement a planned missing data design.
Seminar Syllabus
| Summer Stats Camp 2021: Longitudinal SEM | |
| Monday | June 14, 2021 |
| 9:00-10:45 | Welcome and Introductions. Overview of Longitudinal Models |
| 10:45-11:00 | Rest Break |
| 11:00-12:30 | Design and Measurement Issues in Longitudinal Modeling |
| 12:30-1:30 | Rest Break |
| 1:30-3:15 | Review of Foundations of SEM |
| 3:15-3:30 | Rest Break |
| 3:30-5:00 | Longitudinal Panel Models: Basics |
| Tuesday | June 15, 2021 |
| 9:00-10:45 | Multiple-group Longitudinal Panel Models; CFA and SEM |
| 10:45-11:00 | Rest Break |
| 11:00-12:30 | Parcels and Parceling |
| 12:30-1:30 | Rest Break |
| 1:30-3:15 | Longitudinal Mediation & Moderation |
| 3:15-3:30 | Rest Break |
| 3:30-5:00 | Consultation |
| Wednesday | June 16, 2021 |
| 9:00-10:45 | Latent Growth Curve Modeling: Basics |
| 10:45-11:00 | Rest Break |
| 11:00-12:30 | Latent Growth Curve Modeling: Multivariate and Multiple Groups |
| 12:30-1:30 | Rest Break |
| 1:30-3:15 | Introduction to Finite Mixture Modeling |
| 3:15-3:30 | Rest Break |
| 3:30-5:00 | Introduction to growth mixture modeling / Consultation |
| Thursday | June 17, 2021 |
| 9:00-10:45 | Latent class growth analysis (LCGA) |
| 10:45-11:00 | Rest Break |
| 11:00-12:30 | Covariance Pattern Mixture Models |
| 12:30-1:30 | Rest Break |
| 1:30-3:15 | Growth mixture modeling (GMM) |
| 3:15-3:30 | Rest Break |
| 3:30-5:00 | Growth mixture modeling (GMM) |
| Friday | June 18, 2021 |
| 9:00-10:45 | Missing Data: Planned and Unplanned |
| 10:45-11:00 | Rest Break |
| 11:00-12:30 | Wrap-up then Individual Consultations |
| 12:30-1:30 | Rest Break |
| 1:30-~3:30 | Individual Consultations |
Authorized by the APA to offer continuing education credit. Learn more.
Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content.
Statistical Methods Seminar Description
Overview: This camp is an advanced intensive short seminar in the analysis of longitudinal data using SEM. The seminar will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data.
Topics include:
• Design and measurement issues in longitudinal research
• Traditional panel designs
• Latent growth curve analysis
• Growth mixture modeling
• Multi-level SEM with longitudinal data
• Dynamic intra-individual modeling
Instructors: Todd D. Little, Ph.D. & Whitney Moore, 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 29,388 citations with an h-index of 85 and an i10-index of 195. 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 Todd’s CV (PDF)
Whitney G. Moore, PhD, is an Assistant Professor of Exercise and Sport Science in the Division of Kinesiology, Health & Sport Studies at Wayne State University in Detroit, MI. Whitney received in doctorate in the Psychosocial Aspects of Health and Physical Activity from the University of Kansas. The two aspects of her research complement each other by bringing cutting edge methodology and analysis to her examination of how leaders in physical activity settings foster an optimal motivational climate for maximizing positive youth development and physical activity participation in the future. Whitney has published on the use and effectiveness of planned missing data design implementation, in addition to using planned missing data designs when collecting her own data. She enjoys collaborating with colleagues across different disciplines, including Physical & Health Education, Community Health, Educational Psychology, and Clinical Psychology. Through these collaborations and her own work, Whitney’s publications include the development and/or revision of over half a dozen quantitative measures. In addition to her involvement with Stats Camp since 2010, she has taught graduate level research methods, analysis, and measure development courses since 2013.
Software and Computer Support
Seminar Audience
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 the foundations of SEM as a pre-requisite to taking this five-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
Instructor will provide password on first day of seminar.
Why Should You Sign Up?
- Work Virtually With Your Instructor
- Attend From Anywhere Online
- Virtual Collaboration With Instructor
- All Seminar Content and Resources
- Access to Recorded Course Videos