June 2026 Live Online Short Course
Advanced SEM Longitudinal Models
Dr. Todd Little
Monday, June 8 – Thursday, June 11 | 10:00 AM – 3:00 PM
Course Topics
Design and measurement issues in cross-sectional and longitudinal research, Traditional panel designs, Overview of missing data, Parceling techniques, Latent growth curve modeling, Testing for Mediation and Moderation, Using Phantom/rescaling Constructs, Multiple group modeling.
Course Description
Embark on an advanced journey of expertise with an 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.
Meet the Instructor
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” (see statscamp.org for details of the fall analysis retreat) and has given over 150 workshops and talks on methodology topics around the world. As an interdisciplinary-oriented collaborator, Little has published with over 300 people from around the world in over 65 different peer-reviewed journals. His work has garnered over 66380 citations (i-10 = 292, h-index = 110). He published Longitudinal Structural Equation Modeling in 2013 and a second edition of it in 2024. 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 25 grants and contracts and he has served as a statistical consultant on over 90 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. He is a fellow in AAAS, APS, APA, and ISSBD.