COVID-19 UPDATE: The safety of our students and staff is our top priority. Therefore, Stats Camp will be holding seminars online via live interactive zoom discussion groups. Our goal is to expand on the interactivity side and provide one-on-one consulting time via virtual breakout rooms. We are offering a discount code to a future camp worth $200 off and we are offering 1-hour of post camp consultation as an added value. Registrations will be accepted up to 12 hours prior to seminar start date and time. All seminars will be conducted in CDT time and will be recorded. The recordings will be made available to you within 3-5 business days of the live recording date. Access will be granted to the recorded videos for 1 year from the date of the seminar. Have questions? Contact us
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.
• 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.
Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer before the first day of the seminar. 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.