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

Longitudinal SEM Seminar

Session 2: June 8 – 12, 2020
Albuquerque, NM – Embassy Suites


FAQVenue Info – Hotel Booking
$1,895 Faculty/Professional or $1,145 Student/Post-Doc

Payment Options

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Statistics Seminar Objectives

The five-day training institute on Longitudinal SEM will enable participants to:

  • Understand the strengths and weaknesses of the different models that can be applied to longitudinal data.
  • Develop a clear understanding of how the models can be specified and adapted to address the specific needs and questions of the investigator.
  • Gain knowledge of the ways in which one should formulate models test alternative models, and evaluate models with regard to statistical and practical significance.

Seminar Syllabus

Summer Stats Camp 2020: Longitudinal SEM
MondayJune 8, 2020
9:00-10:45Welcome and Introductions. Overview of Longitudinal Models
10:45-11:00Snack and Refreshment Break
11:00-12:30Design and Measurement Issues in Longitudinal Modeling
12:30-1:30Lunch Break
1:30-3:15Review of Foundations of SEM
3:15-3:30Snack and Refreshment Break
3:30-5:00Longitudinal Panel Models: Basics
5:30~7:30Social “hour” for all Stats Campers
TuesdayJune 9, 2020
9:00-10:45Multiple-group Longitudinal Panel Models; CFA and SEM
10:45-11:00Snacks and Refreshment Break
11:00-12:30Parcels and Parceling
12:30-1:30Lunch Break
1:30-3:15Longitudinal Mediation & Moderation
3:15-3:30Snack and refreshment Break
3:30-5:00Consultation
WednesdayJune 10, 2020
9:00-10:45Latent Growth Curve Modeling: Basics
10:45-11:00Snack and Refreshment Break
11:00-12:30Latent Growth Curve Modeling: Multivariate and Multiple Groups
12:30-1:30Lunch Break
1:30-3:15Introduction to Finite Mixture Modeling
3:15-3:30Snack and Refreshment Break
3:30-5:00Introduction to growth mixture modeling / Consultation
ThursdayJune 11, 2020
9:00-10:45Latent class growth analysis (LCGA)
10:45-11:00Snack and Refreshment Break
11:00-12:30Covariance Pattern Mixture Models
12:30-1:30Lunch Break
1:30-3:15Growth mixture modeling (GMM)
3:15-3:30Snack and Refreshment Break
3:30-5:00Growth mixture modeling (GMM)
FridayJune 12, 2020
9:00-10:45Missing Data: Planned and Unplanned
10:45-11:00Snack and Refreshment Break
11:00-12:30Wrap-up then Individual Consultations
12:30-1:30Lunch break
1:30-~3:30Individual Consultations

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily

Statistical Methods Seminar Description

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.

Topics include:

• 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.

Seminar Files

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.

Instructor will provide password on first day of seminar:
Click Here to Access Longitudinal SEM Seminar Files

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