Dive into a transformative learning experience! Our seminar goes beyond the ordinary, offering a dynamic series of engaging lectures and hands-on computer workshops. Elevate your skills with advanced training in Structural Equation Modeling (SEM) tailored specifically for the analysis of longitudinal data. Seize this opportunity to unlock new insights – join us and propel your expertise to the next level!
LIVESTREAM / ASYNCHRONOUS – 5-day Statistics Short Course (4hrs per day)
Mastering Longitudinal Structural Equation Modeling: An In-Depth Workshop for Advanced Analysis
Welcome to an immersive and advanced seminar experience! Join us for an intensive short camp focused on mastering the analysis of longitudinal data through Structural Equation Modeling (SEM). Engage in a comprehensive program featuring a blend of expert lectures and hands-on computer workshops. This unique opportunity ensures participants gain advanced proficiency in utilizing SEM for the in-depth analysis of longitudinal data. Elevate your skills—enroll now for an unparalleled learning journey!
| Day 1 |
|
| 5:00 – 6:45 | Welcome and Introductions. Overview of Longitudinal Models |
| 6:45 – 7:00 | Snack and Refreshment Break |
| 7:00 – 9:00 | Review of Foundations of SEM |
| Day 2 |
|
| 5:00 – 6:45 | Parcels and Parceling |
| 6:45 – 7:00 | Snack and Refreshment Break |
| 7:00 – 8:00 | Design and Measurement Issues in Longitudinal Modeling |
| 8:00 – 8:30 | Longitudinal Panel Models: Basics |
| 8:30 – 9:00 | Multiple-group Longitudinal Panel Models: CFA, SEM, & RI-CLPM |
| Day 3 |
|
| 5:00 – 6:45 | Mixture Modeling |
| 6:45 – 7:00 | Snack and Refreshment Break |
| 7:00 – 8:00 | Longitudinal Mediation |
| 8:00 – 8:30 | Individual Consultations |
| 8:30 – 9:00 | Catch up and Discussion |
| Day 4 |
|
| 5:00 – 6:45 | Latent Growth Curve Modeling: Basics & Multivariate and Multiple Groups |
| 6:45 – 7:00 | Snack and Refreshment Break |
| 7:00 – 8:30 | Missing Data: Planned and Unplanned |
| 8:30 – 9:00 | Catch up and Discussion |
| Day 5 |
|
| 5:00 – 6:45 | Longitudinal Moderation |
| 6:45 – 7:00 | Snack and Refreshment Break |
| 7:00 – 8:30 | Catch up and Discussion |
| 8:30 – 9:00 | Wrap-up then Individual Consultations |
Course Topics:
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.
Course Description:
Embark on an advanced journey of expertise with our intensive seminar focused on the nuanced analysis of longitudinal data through Structural Equation Modeling (SEM). Join a dynamic program featuring expert-led lectures and hands-on computer workshops, meticulously designed to provide participants with unparalleled training in utilizing SEM for the comprehensive analysis of longitudinal data. Elevate your skills, refine your approach, and gain mastery in the craft of Longitudinal Structural Equation Modeling. Seize this opportunity to dive deep into advanced methodologies and enhance your proficiency in handling longitudinal data sets. Enroll now for a transformative learning experience at the forefront of statistical analysis.
Instructor: Todd D. Little, Ph.D.
Todd D. Little, Ph.D. is a Professor of Educational Psychology at Texas Tech University (TTU). Little is internationally recognized for his quantitative work on various aspects of applied SEM (e.g., indicator selection, parceling, modeling developmental processes) as well as his substantive developmental research (e.g., action-control processes and motivation, coping, and self-regulation). Prior to joining TTU, … Little has guided quantitative training and provided consultation to students, staff, and faculty at the Max Planck Institute for Human Development’s Center for Lifespan Studies (1991-1998), Yale University’s Department of Psychology (1998-2002), and researchers at KU (2002-2013, including as director of the RDA unit at the Lifespan Institute and as director of the Center for Research Methods and Data Analysis). In 2001, Little was elected to membership in the Society for Multivariate Experimental Psychology, a restricted-membership society of quantitative specialists in the behavioral and social sciences.
In 2009, he was elected President of APA’s Division 5 (Evaluation, Measurement, and Statistics). He founded, organizes, and teaches in the internationally renowned ‘Stats Camps’ each June (see statscamp.org for details of the summer training programs) and has given over 150 workshops and talks on methodology topics around the world. As an interdisciplinary-oriented collaborator, Little has published with over 280 persons from around the world in over 65 different peer-reviewed journals. His work has garnered over 11,000 citations. He published Longitudinal Structural Equation Modeling in 2013 and he has edited five books related to methodology, including the Oxford Handbook of Quantitative Methods and the Guildford Handbook of Developmental Research Methods (with Brett Laursen and Noel Card). Little has served on numerous grant review panels for federal agencies such as NSF, NIH, and IES, and private foundations such as the Jacobs Foundation. He has been the principal investigator or co-principal investigator on over 15 grants and contracts and he has served as a statistical consultant on over 70 grants and contracts. In the conduct of his collaborative research, he has participated in the development of over 12 different measurement tools, including the CAMI, the Multi-CAM, the BALES, the BISC, the I FEEL, and the form/function decomposition of aggression.
Instructor: Zachary Stickley, Ph.D.
Zachary, Ph.D. is a senior research scientist at Yhat Enterprises LLC. where he pursues his research interests in measurement design, applied latent variable modeling, and modern approaches to missing data. Dr. Stickley has also served as an instructor and coordinator for the Stats Camp Foundation since first joining the team as a graduate student in 2018. He received his Ph.D. in Educational Psychology from College of Education at Texas Tech University with a focus on research methodology, measurement design, and statistical modeling. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University.
Seminar Includes:
Materials, downloads, recorded course video viewable for up to one year.