Bayesian SEM

Session 2: June 12 – 16, 2017
Albuquerque, NM – Embassy Suites

FAQVenue InfoHotel Reservations
$1,795 Faculty/Professional or $1,095 Student/Post-Doc

Payment Options
Per Course Qty
Facultyshow details + $1,795 (USD)  
Studentshow details + $1,095 (USD)  

Course Syllabus

Summer Stats Camp 2017: Bayesian SEM
Monday June 12, 2017
9:00–10:45 Welcome and Introductions.
10:45–11:00 Snack and Refreshment Break.
11:00–12:30 Bayesian reasoning and Baye’s rule : Direct probability vs indirect probability
12:30–1:30 Lunch Break.
1:30–3:15 Markov Chain Monte Carlo Estimation: Gibbs and Hamiltonian samplers
3:15–3:30 Snack and Refreshment Break.
3:30–5:00 Introduction to R: blavaan, JAGS, STAN
Tuesday June 13, 2017
9:00–10:45 Know your distributions
10:45–11:00 Snack and Refreshment Break.
11:00–12:30 Confirmatory Factor Analysis
12:30–1:30 Lunch Break.
1:30–3:15 Priors: relevance, choice, strengths. CFA with cross-loadings
3:15–3:30 Snack and Refreshment Break
3:30–5:00 Individual Consultations
Wednesday June 14, 2017
9:00–10:45 Model fit and model comparison
10:45–11:00 Snack and Refreshment Break
11:00–12:30 Multiple-group CFA
12:30–1:30 Lunch Break
1:30–3:15 Latent regression models: latent interactions, quadratric effects, mediation
3:15–3:30 Snack and Refreshment Break
3:30–5:00 Individual Consultations.
Thursday June 15, 2017
9:00–10:45 Robust SEM: non-normal continuous data
10:45–11:00 Snack and Refreshment Break
11:00–12:30 SEM for categorical data: Item Response Theory
12:30–1:30 Lunch Break
1:30–3:15 Missing data handling
3:15–3:30 Snack and Refreshment Break
3:30–5:00 Individual Consultations.
Friday June 16, 2017
9:00–10:45 Latent Growth Curve models
10:45–11:00 Snack and Refreshment Break
11:00–12:30 Multilevel SEM
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


The goal of the Bayesian SEM is to provide instruction in the application SEM from the Bayesian paradigm. It will cover the application of models commonly implemented in frequentist SEM, and in models that are complicate or impossible to estimate in the frequentist paradigm. This course is design to portray the advantages of the Bayesian paradigm, both philosophical and practical, within the application of SEM. The material and examples will be provided in the open source platform R, but if the students prefer to work with another program we will assist in the understanding and application. . In addition, students who sign up for this course can request topics to be included during the weeklong course. If we have the expertise, we’ll gladly prepare and deliver a module on the topic! As with all Stats Camp courses, personal consultation time is available and ample support resources are provided on our web pages at

Instructor: Mauricio Garnier-Villarreal

Mauricio is a full time professor at Marquette. His Ph.D focus of Quantitative Psychology at the University of Kansas completed in the summer of 2016. His research focus is on the application of Bayesian methods to complex structure data for longitudinal analysis, from both mixed-effects and SEM models. He has experience not only working in the test and development of methods, but also in the application of these in data; in different fields like special education, cognitive decline in aging, healthy aging. He has been involved in the Stats Camp since 2011.

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 Advanced SEM Course Files

Bayesian SEM Seminar