Bayesian S.E.M. with Mplus
Sarah Depaoli teaches Bayesian modeling in Mplus in this on-demand course
In this on-demand workshop, Sarah Depaoli teaches you how to test a variety of Bayesian structural equation models using Mplus. With clear hands-on lessons, she’ll take you through each step of the model building procedure, from writing syntax to interpreting output. Use the dropdown menu below to see what’s included in this on-demand course:
Hello and Welcome!
FREE PREVIEWCourse Handouts
Introduction to Mplus
Introduction to Bayesian Statistics
Notation and Path Diagrams
FREE PREVIEWConceptual Overview of Bayesian SEM
Bayesian Estimation in Mplus
Specifying Priors in Mplus
Sensitivity Analysis of Priors
Bayesian Model Fit
Near-Zero Priors
Confirmatory Factor Analysis
Multiple Group Modeling
Approximate Measurement Invariance
Path Analysis
Structural Equation Modeling
Latent Growth Curve Modeling
Latent Class Analysis
Latent Growth Mixture Modeling
Label Switching
Transparency & Reporting Standards
Reviewing Bayesian SEM Work
When To Use Bayesian Methods
Final Thoughts
Sarah Depaoli, Ph.D.
Dr. Sarah Depaoli is Professor and Area Head of Quantitative Methods, Measurement, and Statistics at the University of California, Merced. Her research focuses on issues surrounding Bayesian estimation of latent variable models. This course is a companion workshop to her book, Bayesian Structural Equation Modeling.
Bayesian S.E.M. with Mplus is available for immediate access.
Please contact us if you need an invoice prior to purchase or have a larger group.
Payment is accepted by credit card, Paypal, or bank transfer (euros & GPB). Bank transfer instructions are here.
Group licenses provide the lowest per-person cost.
Further discounts are available for researchers working in LMICs; apply here to get started.
Individual: Student/Post Doc
Professional
Group | Up to 6 Users
Bank transfers are accepted in euros and GBP. Please contact us if your bank is outside of the EU, SEPA, or UK.
Kindly allow 3 business days for payment to post.
euros (EU & SEPA only) |
GBP (UK only) |
Student/Postdoc: €400 Professional: €521 Group: €1249 Account holder: QuantFish LLC BIC/SWIFT: TRWIBEB1XXX IBAN: BE20 9672 6025 0356 Address: Avenue Louise 54, Room S52 Brussels 1050 Belgium The following information is required to ensure proper enrollment:
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Student/Postdoc: £362 Professional: £472 Group: £1131 Account holder: QuantFish LLC Sort code: 23-14-70 Account number: 87960744 IBAN: Address:
56 Shoreditch High Street, London E1 6JJ, United Kingdom The following information is required to ensure proper enrollment:
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This course is for learners with a foundational knowledge of S.E.M. Prior experience with Mplus is not required.
We understand completely! The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.
Unfortunately, personal feedback is not possible given the volume of researchers we serve. We are certain that Dr. Depaoli's thorough approach to guiding you through every step of using Mplus, along with the helpful handouts and guides included in the course, will enable you to successfully perform Bayesian S.E.M. techniques with your own data. Note that we here at QuantFish are always happy to help you navigate any technical issues related to the course itself.
QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. Bayesian S.E.M. with Mplus is backed by a complete money-back guarantee for 7 days following the start of the course.