Expert Training in MPlus.
From anywhere, any time.

In this self-paced online workshop, Dr. Christian Geiser provides in-depth tutorials on analyzing and interpreting hierarchical linear models in Mplus. Use the dropdown menu to see what's included in the course:

    1. Welcome!

      FREE PREVIEW

    2. Handouts, References, & Resources

    3. Session 1: Data Preparation in SPSS, Data Import, and BASIC Analysis in Mplus

    4. Session 2: Ordinary Least Squares (Single-Level) Regression in Mplus

    5. Session 3: Introduction to Multilevel Modeling in Mplus: TWOLEVEL BASIC Option

    6. Session 4: The Intercept-Only Model

      FREE PREVIEW

    1. Session 5: The Means-as-Outcomes Model

    2. Session 6: One-Way Random Effects ANCOVA

    3. Session 7: Centering

    4. Session 8: Random Coefficient Regression

    1. Session 9: Multilevel Regression with Level-1 and Level-2 Predictors

    2. Session 10: Multilevel Analysis of Longitudinal Data

    3. Session 11: Introduction to Multilevel Confirmatory Factor Analysis

    4. Session 12: Multilevel Confirmatory Factor Analysis of Longitudinal Data in Mplus

    5. Session 13: Multilevel Confirmatory Factor Analysis of Multirater Data

    6. Thank you and Final Tips

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 latent variable 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. Multilevel Modeling with Mplus is part of a companion series of workshops to his books.   


Pricing

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

Payment is accepted by credit card, Paypal, or bank transfer (euros & GPB). Please contact us if you need an invoice prior to purchase or have a larger group.

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:  €226
Professional: €362
Group: €1086

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:    £198
Professional:  £305
Group:  £913

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)


Need to wait get approval from your institution?

Contact us so we can help with invoicing.

CONTACT US

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?

    This course is for learners with a basic understanding of single-level regression and confirmatory factor analysis. A working understanding of the Mplus software is helpful, but not required. Need a beginner-focused course? Mplus from Scratch gives you everything you need to be ready for this course.

  • There is no way that I will be able to set aside the three 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?

    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 start learning multilevel modeling:

  • 1. Enroll in the Course

    You will receive a payment receipt by email from QuantFish and instructions for accessing your Student Dashboard. Multilevel Modeling with Mplus will be available to access starting January 18, 2021 at 8:00 am MST. Prior to this time, the course will be listed as 'Coming Soon' on the dashboard.

  • 2. Start Learning

    Once the course is live, you are free to begin when the time is right for you. Visit your student dashboard, click on the course, and 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 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!

Other Courses You May Find Helpful:

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Thank You

Satisfaction Guarantee

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