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.
As part of my role at ATLAS, I’m 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 for 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.
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