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THIS COURSE IS CURRENTLY IN SESSION

IF YOU PURCHASE NOW YOU GET INSTANT ACCESS TO THE REMAINING LIVE INSTRUCTION AS WELL AS THE ASYNCHRONOUS VIDEO TO REVIEW ON YOUR OWN FOR 1 FULL YEAR.

NEXT LIVESTREAM LSEM COURSE STARTS – FEBRUARY 17 – 20, 2023 – ENROLL NOW, CLICK HERE

LIVE STREAM – 4-day Statistics Short Course

Seminar 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.

Seminar Topics:

  • 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
  • Multilevel and multiple group SEM
  • Using Phantom Constructs
  • Multiple group modeling

Seminar Description:

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.

Longitudinal SEM Training Course

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’ each June (see statscamp.org for details of the summer training programs) and has given over 150 workshops and talks on methodology topics around the world. As an interdisciplinary-oriented collaborator, Little has published with over 280 persons from around the world in over 65 different peer-reviewed journals. His work has garnered over 11,000 citations. He published Longitudinal Structural Equation Modeling in 2013 and 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 15 grants and contracts and he has served as a statistical consultant on over 70 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.

Instructor: Whitney Moore, Ph.D.

Longitudinal Structural Equation Modeling Course

Dr. Whitney Moore is an Assistant Professor of Kinesiology at East Carolina University. Whitney received her Ph.D. in the Psychosocial Aspects of Health and Physical Activity from the University of Kansas. She has been a Stats Camp instructor since 2012 (after experience being a “counselor” for SEM, Longitudinal SEM, and MLM). Whitney has taught graduate courses in research design, introduction to statistics, ANOVA, SEM, and measurement development at two different R1 institutions. Her research is at the intersection of advanced quantitative methods and psychosocial aspects applied to sport, exercise, and physical education contexts. This is particularly illustrated in her work on measurement development; helping to develop or modify 12 measures in the last 10 years. Whitney is particularly interested in planned missing data designs, finite mixture modeling, plus mediation and moderation in SEM.

APA Continuing Education Credits:

This course offers ? hours of Continuing Education Credits. Yhat Enterprises, LLC is approved by the American Psychological Association to sponsor continuing education for psychologists. Yhat Enterprises, LLC maintains responsibility for this program and its content.

Seminar Includes:

Materials, downloads, recorded course video viewable for up to one year.

Learning Objectives:

This comprehensive 4-day statistics 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 Prerequisites:

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 SEM Foundations as a pre-requisite to taking this 4-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.

Software and Computer Support:

Participants need to bring a laptop computer with Wi-Fi capabilities.

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.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Day 1  
9:00-10:45 Welcome and Introductions. Overview of Longitudinal Models
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Review of Foundations of SEM
12:30-1:30 Lunch Break
1:30-3:00 Parcels and Parceling
Day 2
9:00-10:45 Design and Measurement Issues in Longitudinal Modeling
10:45-11:00 Snacks and Refreshment Break
11:00-12:30 Longitudinal Panel Models: Basics
12:30-1:30 Lunch Break
1:30-3:00 Multiple-group Longitudinal Panel Models: CFA, SEM, & RI-CLPM
Day 3  
9:00-10:45 Mixture Modeling
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Mixture Modeling
12:30-1:30 Lunch Break & Individual Consultations
1:30-2:30 Longitudinal Mediation
2:30-3:00 Individual Consultations
Day 4
9:00-10:45 Latent Growth Curve Modeling: Basics & Multivariate and Multiple Groups
10:45-11:00 Snacks and Refreshment Break
11:00-12:30 Missing Data: Planned and Unplanned
12:30-1:30 Lunch Break & Individual Consultations
1:30-2:30 Longitudinal Moderation
2:30-3:00 Wrap-up then Individual Consultations

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