I’m the assistant director of psychometrics at Accessible Teaching, Learning, and Assessment Systems (ATLAS), a strategic center within the Achievement and Assessment Institute at the University of Kansas. I received a PhD in educational psychology and research from the University of Kansas’ School of Education and Human Sciences in 2018.
I am the lead psychometrician for the Dynamic Learning Maps® alternate assessments, which are administered annually to students with significant cognitive disabilities from grades 3–12 in 22 states. I have also led the psychometric work innovative assessment projects such as the Innovations in Science Map, Assessment and Report Technologies (I-SMART) and Pathways for Instructionally Embedded Assessment (PIE). In all of these assessments, I am primarily focused on the application of diagnostic psychometric models to improve instructional decision-making and student learning.
My research interests also include Bayesian modeling, data visualization, and R programming. I am the author of several R packages including measr for estimating and evaluating diagnostic classification models and taylor for accessing lyrics and audio data for Taylor Swift’s discography. I also regularly lead workshops on how to use R and Stan for applying diagnostic classification models and the tidyverse for data science.