Statistical Methods Course Description
Overview: This summer institute, sponsored by IMMAP, is an advanced intensive short course in the analysis of longitudinal data using SEM. The course 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.
• 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, Katherine Masyn, Whitney Moore, Elizabeth Grandfield
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 21,200 citations with an h-index of 72 and an i10-index of 170. 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)
Katherine recently joined the faculty at Georgia State University’s School of Public Health as an Associate Professor of Biostatistics. She was previously on the faculty at the Harvard Graduate School of Education and received her doctorate in Social Research Methodology at UCLA under the mentorship of Prof. Bengt Muthen.
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.
Elizabeth is a doctoral student in Quantitative Psychology at the University of Kansas. Her research focuses on evaluating measurement invariance with an emphasis 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 course 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 course. If you have not taken the foundations Course, you should have extensive experience or have taken a graduate-level course 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 course.
The course 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.
Below are links to course files for those who enrolled in the course. Please download these files onto your computer before the first day of the course. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.
Click Here to Access Longitudinal SEM Course Files