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SEM Foundations and Extended Applications Seminar

March 9 – 11, 2017
Atlanta, Georgia
Embassy Suites by Hilton

Payment Options
Per Course Qty
Facultyshow details + $1,195.00 (USD)  
Studentshow details + $945.00 (USD)  

Statistics Seminar Objectives

The 3 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

Seminar Syllabus

Thursday March 9, 2017
9:00-9:30 Welcome and Introductions
9:30-11:00 Philosophy
11:00-11:15 Snack and Refreshment Break
11:15-12:30 Next Topic
12:30-1:30 Lunch Break
1:30-5:00 Psychometrics; Defining Constructs
Friday March 10, 2017
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
Saturday March 11, 2017
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

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Course Resources
  • Breakfast (For Students Staying At Venue Hotel)
  • Lunch, and All-Day Tea/Coffee/Snack Service
  • After Class Networking Mixers

Statistical Methods Seminar Description

Overview: This 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 & multi-level SEM.

This 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

Professor of Educational Psychology and Leadership at Texas Tech University. Little is also the director of the Institute for Measurement, Methodology, Analysis, and Policy (IMMAP) at Texas Tech University. He holds a Ph.D. in developmental psychology from the University of California-Riverside. Little in 2013 received the APA Division 5 Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring.

Instructor: Elizabeth Grandfield

instructor_elizabeth_grandfield2

Doctoral student in Quantitative Psychology at the University of Kansas. Her research focuses on evaluating measurement invariance with an emphasis in longitudinal designs. In areas of applied research, Elizabeth has been involved in longitudinal children studies at Juniper Gardens as well as a national nursing study at Kansas University Medical Center, both in Kansas City.

 

 

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 Access The SEM Foundations and Extended Applications Course Files

Seminar Audicence

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.

SEM Foundations and Extended Applications Seminar Todd Little and Elizabeth Grandfield