Hyeon-Ah Kang is an assistant professor in the Quantitative Methods program in the Department of Educational Psychology. She also serves as an associate director of the Center for Applied Psychometric Research at the College of Education. She studies theoretical and applied statistics in educational and psychological measurement.
Ph.D. in Educational Psychology, University of Illinois at Urbana-Champaign, 2016
M.S. in Statistics, University of Illinois at Urbana-Champaign, 2013
Statistical methods related to psychometrics, such as uni- and multi-dimensional item response theory, response time modeling, cognitively diagnostic assessment, and stochastic test design.
Kang, H.-A., Zheng, Y. & Chang, H.-H. (2020). Online calibration of a joint model of item responses and response times in computerized adaptive testing. Journal of Educational and Behavioral Statistics, 45, 175––208. doi:10.3102/1076998619879040.
Kang, H.-A., Su, Y.-H. & Chang, H.-H. (2018). A note on monotonicity of item response function in polytomous models. British Journal of Mathematical and Statistical Psychology, 71(3), 523––535. doi:doi: 10.1111/bmsp.12131.
Kang, H.-A. (2017). Penalized partial likelihood inference of proportional hazards latent trait models. British Journal of Mathematical and Statistical Psychology, 70(2), 187–208. doi:10.1111/bmsp.12080.
Kang, H.-A., Zhang, S. & Chang, H.-H. (2017). Dual-objective item selection criteria in cognitive diagnostic computerized adaptive testing. Journal of Educational Measurement, 54(2), 165–183. doi:10.1111/jedm.12139.
Kang, H.-A. & Chang, H.-H. (2016). Parameter drift detection in multidimensional computerized adaptive testing based on informational distance/divergence measures. Applied Psychological Measurement, 40(7), 534–550. doi:10.1177/0146621616663676.
Time-Efficient Adaptive Testing for Testlet-Based Innovative Items
Grant Funded by National Council State Board of Nursing (PI; 2021-2022)
Fully Latent Principal Stratification: A New Framework for Big, Complex Implementation Data from Education RCTs
Grant Funded by Institute of Education Sciences (Co-PI; 2021-2024)
Psychometric Properties of the Teacher-Reported Pediatric Symptom Checklist
Grant Funded by St. David's Center for Health Promotion and Disease Prevention Research in Underserved Populations (Co-I; 2022)
A Multivariate Latent Markov Model for Understanding Students' Interaction Patterns in Low-Stakes Computerized Assessments: An Application to PISA
Grant Funded by American Educational Research Association with Support from National Science Foundation (PI; 2022-2024)
Enabling and Evaluating a General Process for Automatically Authoring Concept Mapping-Based Assessments
Grant Funded by U.S. Army Research Institute (PI; 2022-2023)
Computerized Adaptive Testing for Testlet-Based Innovative Items
Grant Funded by National Council State Board of Nursing (PI; 2019-2020)
Early Career Award in Measurement, Psychometrics and Assessment, American Educational Research Association, Division D (2022)
Outstanding Reviewer, Journal of Educational and Behavioral Statistics (2021)
Dean's Fellow, College of Education, UT Austin (2020 - 2021)
|2023||Spring||EDP 480C: 4-Correlation/Regression Mthds|
|2022||Fall||EDP 380D: 4-Psychometric Theory/Mthds|
|2022||Spring||EDP 480C: 4-Correlation/Regression Mthds|
|2021||Fall||EDP 380D: 4-Psychometric Theory/Mthds|
|2021||Spring||EDP 480C: 4-Correlation/Regressn Mth-Wb|
|2020||Fall||EDP 380D: 4-Psychometric Theory/Mthd-Wb|
|2020||Fall||EDP 380D: 4-Psychometric Theory/Mthds|
|2020||Spring||EDP 480C: 4-Correlation/Regression Mthds|
|2019||Fall||EDP 480C: 4-Correlation/Regression Mthds|
|2019||Fall||EDP 380D: 4-Psychometric Theory/Mthds|
|2019||Spring||EDP 480C: 4-Correlation/Regression Mthds|
|2019||Spring||EDP 380D: 4-Psychometric Theory/Mthds|
|2018||Fall||EDP 380C: 22-Analysis: Categorical Data|
|2018||Fall||EDP 480C: 4-Correlation/Regression Mthds|
|2018||Spring||EDP 380D: 4-Psychometric Theory & Mthds|
|2017||Fall||EDP 381E: Advance Item Response Theory|