SEM Foundations & Extended Applications

Session 1: June 5 – 9, 2017
Albuquerque, NM
Embassy Suites by Hilton

Payment Options
Per Course Qty
Facultyshow details + $1,795.00 (USD)  
Studentshow details + $1,095.00 (USD)  

Statistics Course Objectives

The five-day training institute on Structural Equation Modeling will enable participants to:

  • Gain a basic understanding of structural equation modeling techniques as applied in the social and behavioral sciences.
  • Develop a clear understanding of the conceptual basis of SEM and an appreciation of its mathematical basis.
  • Gain knowledge of the ways in which one should formulate models, test alternative models, and evaluate models with regard to statistical and practical significance.
  • Become acquainted with a variety of models that are special cases of the fundamental SEM model (e.g., HLM, growth curve).
  • Become proficient in the use of the program(s) LISREL, Mplus and Laavan analysis of structural models

Course Syllabus

Summer Stats Camp 2017: SEM Foundations
9:00 – 10:45 Welcome and Introductions. Philosophy
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Psychometrics
12:30 – 1:30 Lunch Break
1:30 – 3:15 Defining Constructs
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Identification
9:00 – 10:45 Confirmatory Factor Analysis I – Introduction to CFA
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Confirmatory Factor Analysis II – Comparing Models, Model fit
12:30 – 1:30 Lunch Break
1:30 – 3:15 CFA: The foundation of any SEM model, continued
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Parcels and Parceling; Start of Individual Consultations
9:00 – 10:45 Multiple-Group CFA – Testing for configural and weak invariance
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Multiple-Group CFA – Testing for Strong Invariance
12:30 – 1:30 Lunch Break
1:30 – 3:15 Multiple-Group CFA – Tests and comparing latent parameters
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Wrap-up then Individual Consultations
9:00 – 10:45 Missing data and Power
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Multiple-Group SEM and Latent Regression Models
12:30 – 1:30 Lunch Break
1:30 – 3:15 Mediation and Moderation
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Catch-up time then Individual Consultations
9:00 – 10:45 Multi-trait, Multi-Method (MTMM) and Hierarchical Models
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Hierarchical Models, continued; Writing results, Cautions & Wrap-up
12:30 – 1:30 Lunch Break
1:30 – ~3:30 Individual Consultations


Why Should You Attend?

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

Statistical Methods Course Description

Overview: This summer institute is an intensive short course on the principles of structural equation modeling. Topics include confirmatory factor analysis, multiple-group comparisons, factorial invariance as well as extended applications such as hierarchical models and multi-level SEM.

Instructor: Todd D. Little & Noel A. Card

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 ( 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)

Noel is an associate professor Educational Psychology at the University of Connecticut. He holds a Ph.D. in clinical psychology from St. John’s University, and completed a postdoctoral fellowship in quantitative and developmental psychology at the University of Kansas. Noel has received many accolades for his skills at teaching and consulting on SEM issues and concepts, and has worked extensively in applying SEM to longitudinal and dyadic data.

Software and Computer Support
Course Audience

If you need to analyze the covariance structure of multivariate data and have a basic statistical background, this course is for you. You should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference. You do not need to know matrix algebra, calculus, or likelihood theory (although that knowledge would be beneficial). 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. No previous knowledge of LISREL, Mplus or Laavan is assumed. Furthermore, nearly all the techniques taught in the course can be translated fairly easily to most other packages.

Course Files

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 View Course Materials Page

SEM Foundations & Extended Applications Seminar Todd Little and Dr Noel Card