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LIVE STREAM – 4-day Statistics Short Course

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Seminar Overview: SEM Foundations & Extended Applications

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 Most campers report their prior training was insufficient and/or outdated.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:

  • Phantom Constructs
  • Fitting measurement models
  • Three methods of scale setting – including effects coding!
  • Updated recommendations for Scale Validation
  • Multiple-Group Comparisons with applications for experimental and observational groups!
  • Factorial/Measurement Invariance – Are you measuring the same construct?
  • Extended Applications Such as Parceling and Missing Data
  • Mediation and Indirect Effects using Bootstrapping
  • Moderation, creating latent interaction terms!

Seminar Description:

This 3 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 49,424 citations with an h-index of 97 and an i10-index of 261. 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 is a researcher in the College of Education at Texas Tech University studying latent variable modeling and planned missing data. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University. He has assisted Dr. Little in the instruction of Structural Equation Modeling courses at Texas Tech University as well as at numerous Stats Camp seminars and analysis retreats.

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APA Continuing Education Credits:

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

Seminar Includes:

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

Learning Objectives:

The 3-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
 
1:30 – 3:15 Welcome and Introductions. Philosophy
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Psychometrics; Defining Constructs
Day 2
 
9:00 – 10:45 Identification & Scale setting
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Confirmatory Factor Analysis I – Introduction to CFA
12:30 – 1:30 Lunch Break
1:30 – 3:15 Confirmatory Factor Analysis II – Comparing Models, Model fit
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Multiple-Group CFA – Testing for invariance
Day 3
 
9:00 – 10:45 Multiple-Group CFA – Tests and comparing latent parameters
10:45 – 11:00 Snack and Refreshment Break
11:00 – 12:30 Parcels and Parceling; Missing Data & Power
12:30 – 1:30 Lunch Break
1:30 – 3:15 Multiple-Group SEM & Latent Regression Models
3:15 – 3:30 Snack and Refreshment Break
3:30 – 5:00 Catch up and Discussion

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