Expert Training in Mplus.
From Anywhere, Any Time.

In this self-paced online workshop, Dr. Christian Geiser provides in-depth tutorials on essential Mplus techniques for analyzing and handling missing data. Here's what's included in this short course:

  • Missing data mechanisms (MCAR, MAR, MNAR)

  • Identifying and including auxiliary variables

  • Full information maximum likelihood estimation and multiple imputation

  • Introduction to planned missing data designs

  • Monte Carlo simulations to determine statistical power with missing data

Meet Your Instructor

Dr. Christian Geiser


Dr. Christian Geiser the Director of Education at QuantFish, author of two books on Mplus, and a leader in the development of S.E.M. techniques for complex data. With his accessible books and sought-after workshops, he has helped thousands of researchers and students around the world to achieve their analytic goals. Missing Data Analysis with Mplus is part of a companion series of workshops to his latest book.   


Pricing

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

'Missing Data Analysis 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.

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:  €117
Professional: €144
Group: €452

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:    £98
Professional:  £121
Group:  £380

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)


FAQ

  • I don't have access to Mplus. Can I still benefit from this course?

    Absolutely. You can engage in the full curriculum using only the demo version of Mplus, which is FREE. Dr. Geiser will provide instructions about getting the demo installed on your computer.

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

    A working understanding of the Mplus software is very helpful, but not required. Need a beginner-focused course? Mplus from Scratch gives you everything you need to be ready for this course.

  • I won't have the time to get through the course without taking breaks. 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?

    Dr. Geiser is happy to answer questions related to course content and Quantfish promptly resolves any technical issues related to the course platform. If you are interested in personal consultation on your own data, please contact us to get started.

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. Missing Data Analysis with Mplus will be available to start immediately.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch Dr. Raykov's 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!