multidimensional item response theory, computer adaptive testing, differential item functioning (item bias), and moderator variables
Dr. Bryant joined the George Mason University faculty in the Summer of 2023. Dr. Bryant earned his doctorate in Psychology from the University of Central Florida and completed a Harold Gulliksen Fellowship in Psychometrics at the Educational Testing Service (ETS) in Princeton, NJ.
Dr. Bryant is a former Research Scientist at ETS within the Foundational Psychometrics and Statistical Research Group. He has served as a Co-Principal Investigator on a collaborative agreement funded by the US Army Research Institute for the Behavioral and Social Sciences. Dr. Bryant is also the creator of Smart Test Technology™, a cloud-based computer adaptive testing platform. His assessment platform is being used in the National Basketball Association for the evaluation of draft prospects. Moreover, Dr. Bryant has several US software copyrights related to psychometrics and machine learning.
His areas of research are multidimensional item response theory, computer adaptive testing, differential item functioning (item bias), and moderator variables. His research has been published in top-tier psychometric outlets, including Psychometrika, Applied Psychological Measurement, and The International Journal of Testing. Dr Bryant is also the winner of the American Psychological Association, Division 14, Robert J. Wherry Award for Best Paper.
Bryant, D. U., Mitcham, M., Araiza, A. R., & Leung, W. M. (2011). The interaction of self-monitoring and organizational position on perceived effort. Journal of Managerial Psychology, 26(2), 138 – 154.
Bryant, D. U., & Davis, L. (2011). Item vector plots for the multidimensional three-parameter logistic model. Applied Psychological Measurement, 35(5), 393 - 397.
Bryant, D. U., & Wooten, W. (2006). Developing an essentially unidimensional test with cognitively designed items. International Journal of Testing, 6(3), 205 – 228.
Bryant, D. U. (2005). A note on item information in any direction for the multidimensional three parameter logistic model. Psychometrika, 70(1), 213 – 216.