Expert Training in Bayesian Analysis.
From Anywhere, Any Time.

In this on-demand workshop, Sarah Depaoli teaches you how to test a variety of Bayesian modeling techniques using R and 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:

    1. Introduction to the Course

      FREE PREVIEW

    2. Handouts & References

    3. Prevalence, Philosophy, and Process

      FREE PREVIEW

    4. Key Ingredients: Constructing Bayes' Rule

    5. Prior Distributions

    6. Bayesian Estimation Process

    1. Chain Convergence

    2. Autocorrelation, Effective Sample Size, and Thinning

    3. Posterior Inference

    4. Model Fit & Comparison

    5. Basics of R

    1. Bayesian Multiple Regression Example in R using Rstan

    2. Bayesian Mediation Analysis Example in R using blavaan

    3. Basics of Mplus & Bayesian Features

    4. Specifying Priors in Mplus

    5. Bayesian Multiple Regression Example in Mplus with MCMC Plotting in R

    6. Bayesian Mediation Analysis Example in Mplus

    1. Impact of Priors

    2. Prior Predictive Checking

    3. When to Use R vs. Mplus for Bayesian Modeling

    4. When is Bayes Useful?

    5. Additional Resources

    6. Closing Thoughts

Meet Your Instructor

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.  


Pricing

Tax-exempt institutions in the United States, please start here.

Bayesian for Beginners 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.

Bank Transfer Information

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:  
  • Name of person enrolling (only the contact person if enrolling a group)
  • Email address
  • Requested course(s)

 		Student/Postdoc:    £362
Professional:  £472
Group:  £1131

Account holder:  QuantFish LLC
Sort code: 23-14-70
Account number: 87960744
IBAN:  
GB50 TRWI 2314 7087 9607 44
Address:  

56 Shoreditch High Street, London E1 6JJ, United Kingdom

The following information is required to ensure proper enrollment:  

  • Name of person enrolling (only the contact person if enrolling a group)
  • Email address
  • Requested course(s)


Bundle Courses
& Save Funds

The Bayesian Bundle is a discounted 2-course sequence taught by Sarah Depaoli.

Get 2 deadline-free courses for a discount: Bayesian for Beginners & Bayesian SEM with Mplus.

The courses are taken on your schedule. You'll keep access to your courses, so you can return to them whenever you need to.
Enroll in the Bayesian Bundle
The Bayesian Bundle | Online Courses

Need to wait for approval from your institution?

Contact us so we can help you with your paperwork.
We can customize invoices for any country.

CONTACT US

FAQ

  • What level of statistical training is required for the course?

    This course is for learners with a foundational knowledge of regression. Prior experience with Mplus and R is not required.

  • There is no way that I will be able to set aside the four days required to take this course. Is the timing flexible?

    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.

  • Will you give me feedback on my analyses?

    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 the software, along with the helpful handouts and guides included in the course, will enable you to successfully perform Bayesian 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.

How the Course Works

Follow these steps to get started:

  • 1. Enroll in the Course

    You will receive a payment receipt by email from QuantFish and instructions for accessing your Student Dashboard. Bayesian for Beginners is available to start right away.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch the introductory video to get started. Subsequent lessons are shown to you in sequential order, along with the PDF resources. Plan on each day (module) to take about three hours, plus practice time. At the completion of the course, we will provide a certificate of completion that you can use for your own professional needs.

  • 3. Share Your Success!

    The best part of our work here at QuantFish is seeing our trainees implement their newfound analytic skills in their own research. We LOVE hearing about published papers and successful defenses. Find us on Facebook or shoot us an email so we can celebrate with you!

Additional Courses You May Find Helpful:

Satisfaction Guarantee

QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists.  Bayesian for Beginners  is backed by a complete money-back guarantee for 7 days following the start of the course.