We're putting together information to help you move to virtual advising, deploy nudging, get answers on data science questions, and use your solutions during COVID-19. ACCESS RESOURCES HERE. 

Support is Moving! You can submit a new ticket at support@civitaslearning.com

Open navigation

Intro to PPSM

The main goal in any experimental design is to find a comparison group similar to the participants assigned to treatment or intervention. To do this, we use a patented methodology called Prediction-based, Propensity Score Matching (PPSM), developed by our Chief Data Scientist, David Kil.

To download a copy of this resource, right-click the PDF and select Save As.  

Did you find it helpful? Yes No

Send feedback
Sorry we couldn't be helpful. Help us improve this article with your feedback.