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 is a Professor of Quantitative Psychology at Utah State University, 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

'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. We can customize invoices for any institution, anywhere in the world.

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?

    Unfortunately, personal feedback is not possible given the volume of researchers we serve. We are certain that Dr. Geiser'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 missing data handling techniques with your own data. Note that we 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:

Step 1.  Enroll either an individual or a group of up to 6 users 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 access immediately. 

Step 2.  Once the course is live, you are free to begin when the time is right for you.  Visit your student dashboard, click on the courseand watch Dr. Geiser's introductory video to get started.  Subsequent lessons are shown to you in sequential order, along with the PDF resources.  Plan on about a day to cover the material and practice (but go at a pace that works for you).  At the completion of the course, we will provide a certificate of completion that you can use for your own professional needs.    

Step 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! 

Missing Data Analysis with Mplus

Christian Geiser's crash course in analyzing and handling your missing data