APA Acredited Statistics Training
SEM Foundations Basic Structural Equation Modeling Statistics Course for Researchers

The Craft of Structural Equation Modeling: A Comprehensive Seminar

October 16 @ 5:00 pm - October 20 @ 9:00 pm CDT

| $945.00 – $1,295.00

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LIVESTREAM / ASYNCHRONOUS – 5-day Statistics Short Course, 4hrs per day

Seminar Overview: The Craft of Structural Equation Modeling: A Comprehensive Seminar

Do you want to take your measurement to the latent level? Well, this is it, you have found it, the foundation to what you need to know for latent variable modeling – structural equation modeling (SEM)! Most campers report their prior training was insufficient and/or outdated. We will introduce you to the current techniques and advances in SEM as well as guide you through the steps to ‘craft’ an exquisite SEM model.

Seminar Topics:

  • Advantages and disadvantages of SEM
  • Latent vs measured variables
  • Modeling with constructs
  • Figural conventions
  • Manifest vs latent test theory
  • Selecting indicators
  • Setting the scale
  • Model fit indices
  • Parceling
  • Invariance testing
  • Latent parameter testing
  • Phantom constructs
  • Sample size and power
  • Missing data

Seminar Description:

This 5 day short course covering SEM Foundations & Extended Applications is an intensive short seminar on the principles of structural equation modeling.

Instructor: Todd D. Little, Ph.D.

SEM Foundations Online Course

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 51,496 citations with an h-index of 98 and an i10-index of 264. 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)

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Instructor: Zachary Stickley, Ph.D.

SEM Foundations & Extended Applications

Zachary, Ph.D. is a senior research scientist at Yhat Enterprises LLC. where he pursues his research interests in measurement design, applied latent variable modeling, and modern approaches to missing data. … Dr. Stickley has also served as an instructor and coordinator for the Stats Camp Foundation since first joining the team as a graduate student in 2018. He received his Ph.D. in Educational Psychology from College of Education at Texas Tech University with a focus on research methodology, measurement design, and statistical modeling. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University.

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APA Continuing Education Credits:

This course is NOT eligible for CE credits. You must attend a livestream or in-person event to qualify.

Seminar Includes:

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

Learning Objectives:

The 5 day training institute on Structural Equation Modeling (SEM Foundations) will enable participants to:

  • Describe the psychometric properties that underly Structural Equation Modeling (SEM).
  • Define a latent construct using manifest variables.
  • Identify a latent construct using numerous methods of identification, including marker method, fixed factor, and effects coding.
  • Conduct confirmatory factor analysis (CFA) and evaluate model fit using several fit indices.
  • Compare CFA models using several comparison metrics.
  • Generate and implement item parceling schemes.
  • Evaluate multiple groups using the CFA framework using weak and strong invariance.
  • Test and compare latent parameters in a multiple group framework.
  • Evaluate and address missing data with both FIML and Multiple Imputation.
  • Implement a planned missing data design.
  • Evaluate mediation and moderation in an SEM framework.
  • Evaluate multi-trait, multi-method (MTMM) models.
  • Evaluate hierarchical models.

Seminar Prerequisites:

Coming Soon…

Software and Computer Support:

Coming Soon…

Seminar Audience:

If you need to analyze the covariance structure of multivariate data and have a basic statistical background, this seminar 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 seminar.

The seminar 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 seminar can be translated fairly easily to most other packages.

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.

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
  
5:00 – 6:45 Welcome and Introductions. Philosophy
6:45 – 7:00 Snack and Refreshment Break
7:00 – 9:00 Psychometrics; Defining Constructs
Day 2
  
5:00 – 6:45 Identification & Scale setting
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:00 Confirmatory Factor Analysis I – Introduction to CFA
8:00 – 8:30 Confirmatory Factor Analysis II – Comparing Models, Model fit
8:30 – 9:00 Multiple-Group CFA – Testing for invariance
Day 3
  
5:00 – 6:45 Multiple-Group CFA – Tests and comparing latent parameters
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:00 Parcels and Parceling; Missing Data & Power
8:00 – 8:30 Multiple-Group SEM
8:30 – 9:00 Catch up and Discussion
Day 4
  
5:00 – 6:45 Latent Regression Models
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:30 Mediators
8:30 – 9:00 Catch up and Discussion
Day 5
  
5:00 – 6:45 Moderators
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:30 Interactions Multi-Trait Multi-Method (MTMM) models
8:30 – 9:00 Catch up and Discussion

Download Sample Slides and Preview Course Video

Please fill out and submit the form below to get instant access to sample course materials.

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