Hyeon-Ah Kang
Associate Professor and Quantitative Methods Area Chair, Department of Educational Psychology
Phone: +1 512 471 0420
Email: hkang@austin.utexas.edu
Office: SZB 5.308H
Office Hours: by appointment
Phone: +1 512 471 0420
Email: hkang@austin.utexas.edu
Office: SZB 5.308H
Office Hours: by appointment
Hyeon-Ah Kang is an Associate Professor at the Department of Educational Psychology. She studies methodological approaches to psychometric data. Dr. Kang' research expertise includes item response theory, response time modeling, cognitively diagnostic models, and computer-adaptive testing. Her recent research focuses on analytic methods for multimodal data from computer-interactive assessments.
Ph.D. in Educational Psychology, University of Illinois at Urbana-Champaign, 2016
M.S. in Statistics, University of Illinois at Urbana-Champaign, 2013
Studies statistical and computational methods for analyzing psychometric data. Research areas include item response theory, response time modeling, cognitively diagnostic models, computer-adaptive testing, and multimodal analytics of cognitive and behavioral data.
Kang, H.-A., Sales, A. & Whittaker, T. (2024). Flow with an intelligent tutor: A latent variable modeling approach to tracking flow during artificial tutoring. Behavior Research Methods, 56, 615–638. doi:10.3758/s13428-022-02041-w.
Kang, H.-A., Arbet, G., Betts, J. & Muntean, W. (2024). Location-matching adaptive testing for polytomous technology-enhanced items. Applied Psychological Measurement, 48, 57–76. doi:10.1177/01466216241227548.
Kang, H.-A. (2023). Sequential generalized likelihood ratio tests for online item monitoring. Psychometrika, 88, 672–696. doi:10.1007/s11336-022-09871-9.
Kang, H.-A., Han, S., Kim, D. & Kao, S.-C. (2022). Polytomous testlet response models for technology-enhanced innovative items: Implications on model fit and trait inference. Educational and Psychological Measurement, 82, 811–838. doi:10.1177/00131644211032261.
Kang, H.-A., Han, S., Betts, J. & Muntean, W. (2022). Computerized adaptive testing for testlet-based innovative items. British Journal of Mathematical and Statistical Psychology, 75, 136–157. doi:10.1111/bmsp.12252.
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: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., Ying, L. & Chang, H.-H. (2017). IRT item parameter scaling for developing new item pools. Applied Measurement in Education, 30, 1–15. doi:10.1080/08957347.2016.1243537.
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)
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)
Grant Funded by Institute of Education Sciences (Co-PI; 2021-2024)
Computerized Adaptive Testing for Testlet-Based Innovative Items
Grant Funded by National Council State Board of Nursing (PI; 2019-2020)
Grant Funded by National Council State Board of Nursing (PI; 2019-2020)
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)
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)
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)
Grant Funded by U.S. Army Research Institute (PI; 2022-2023)
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)
Year | Semester | Course |
---|---|---|
2024 | Spring | EDP 480C: 4-Correlation/Regression Mthds |
2023 | Fall | EDP 380D: 4-Psychometric Theory/Mthds |
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 |