Jonghwan (Jay) Lee, PhD
Jonghwan (Jay) Lee leads the adaptive constraint engine work for state summative assessments, including preparing the engine, running simulations, and validating and improving the engine’s performance. Dr. Lee’s research interests include sub-score reporting, the impact of technology-enhanced items on student assessment performance, and the creation of RSS conversions using the 3PL model.
Prior to joining NWEA in 2017, he worked as a senior psychometrician at Questar Assessment. He conducted all psychometric-related tasks for various state assessment programs, including item analysis, calibration and equating, standard setting, psychometric guidelines for form construction, and the creation of annual technical reports. Dr. Lee holds a PhD in measurement and quantitative methods from Michigan State University and a BS in electrical computer engineering from The Ohio State University.