IN PERSON – 5-day Statistics Short Course
Longitudinal Structural Equation Modeling (LSEM) Seminar Overview:
Do you have repeated measurements? Have you collected data over multiple timepoints? Do you need help designing your longitudinal study? If so, this is your course! Let us help you appropriately design your longitudinal study and analyze your data in the SEM latent variable framework using Longitudinal Structural Equation Modeling (LSEM). This framework will allow you more flexibility in evaluating your research questions over time as well as test assumptions that traditional techniques like ANOVA ignore.
- 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
- Using Phantom Constructs
- Longitudinal Measurement Invariance – Multiple Group LSEM
- Growth Mixture Models
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.
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 50,705 … citations with an h-index of 98 and an i10-index of 263. 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)
Instructor: Whitney Moore, Ph.D.
Whitney received her Ph.D. in the Psychosocial Aspects of Health and Physical Activity from the University of Kansas. She is currently an… Assistant Professor at Wayne State University in the Division of Kinesiology, Health & Sport Studies where she teaches graduate courses in research methods, sport and exercise psychology, and statistics.
Instructor: Zachary Stickley, Ph.D.
Zachary, Ph.D. is a researcher in the College of Education at Texas Tech University studying latent variable modeling and planned missing data. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University.… He has assisted Dr. Little in the instruction of Structural Equation Modeling courses at Texas Tech University as well as at numerous Stats Camp seminars and analysis retreats.
APA Continuing Education Credits:
This course offers 26 hours of Continuing Education Credits. 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.
Materials, downloads, recorded course video viewable for up to one year.