Natalie Jorion, PhD
is a psychometrician at PSI Services interested in innovative item types, text mining, and learning analytics. She has developed Shiny apps for DIF panels and standard settings. She received her PhD in learning sciences from the University of Illinois at Chicago with a specialization in measurement and assessment and an Masters from Northwestern University. In 2016, she was awarded an NSF data science fellowship to create visualizations of learner interactions in informal multi-modal STEM games.
