Curriculum Vitae

Curriculum Vitae

Education

  • Ph.D. in Psychology (Expected July 2026), National Taiwan University, Taipei, Taiwan (R.O.C.)
    • GPA: 4.19/4.3
    • Dissertation: Precision and Robustness in Adaptive Testing: An Item Response Theory Analysis within an Online Convex Optimization Framework
    • Advisor: Prof. Yung-Fong Hsu
  • M.S. in Psychology, National Taiwan University, Taipei, Taiwan (R.O.C.), 2022
    • GPA: 4.13/4.3
  • B.S. in Psychology, National Taiwan University, Taipei, Taiwan (R.O.C.), 2020
    • GPA: 4.12/4.3

Employment

  • Full-time Research Assistant (R&D Substitute Military Service), Department of Economics, National Taiwan University, July 2023 – February 2025

Published Papers

  1. Yang, H.‑H., & Hsu, Y.‑F. (2024). The generalized Robbins‑Monro process and its application to psychophysical experiments for threshold estimation. Journal of Mathematical Psychology, 120-121, 102855. https://doi.org/10.1016/j.jmp.2024.102855

  2. Yang, H.-H., & Hsu, Y.-F. (2024). A note on the application of stochastic approximation to computerized adaptive testing. Behaviormetrika, 51(1), 259-276. https://doi.org/10.1007/s41237-023-00215-0

  3. Cheng, C., Yang, H.‑H., & Hsu, Y.‑F. (2025). Identifiability of polychoric models with latent elliptical distributions. Psychometrika, 90(2), 757-778. https://doi.org/10.1017/psy.2024.25

  4. Chen, K.-M., Tsai, L.-T., & Yang, H.-H. (In press). Labor market sorting in Taiwan. Taiwan Economic Review.

Submitted / Working Papers

  1. Chen, K.-M., Chen, Y.-C., Hung, C.-C., & Yang, H.-H. (2025). Institution or major? Understanding student preferences in college admissions. R&R at Economic Inquiry.

  2. Yang, H.-H., Wei, C.-M., & Chen, Y.-C. (2025). On the consistency of Bayesian adaptive testing under the Rasch model. arXiv. https://arxiv.org/abs/2412.07170

  3. Yang, H.‑H., Cheng, C., & Hsu, Y.‑F. (2025). Parametric bootstrapping of standard errors for ability parameters in dichotomous IRT models: Asymptotic and small-sample analyses. PsyArXiv. https://doi.org/10.31234/osf.io/697yj

  4. Yang, H.-H., & Hsu, Y.-F. (2024). An alternative modeling proposal to conjoint survey experiments: Re-evaluating data from Duch et al. (2021). PsyArXiv. https://doi.org/10.31234/osf.io/ytfx2

  5. Chang, W.-C., Lin, T.-Y., Tong, J.C.H., Yang, H.-H., & Hsu, Y.-F. (2025). Comparison of bisection-based and adaptive psychophysical methods for eliciting indifference points in loss aversion research.

  6. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). On the existence and uniqueness of MLE of the latent trait under log-concave distributional assumptions in IRT. PsyArXiv. https://doi.org/10.31234/osf.io/j25zw

  7. Tong, J.C.H., Yang, H.‑H., & Chen, Y.‑P. (In preparation). Decision‑making process of retail investors during a financial bubble: An fMRI study.

Conference Presentations

2025

  1. Yang, H.-H., Wei, C.-M., & Chen, Y.-C. (2025). On the consistency of Bayesian adaptive testing under the Rasch model. Oral presentation at the 8th International Conference on Econometrics and Statistics (EcoSta 2025), Tokyo, Japan.
  2. Yang, H.-H. (2025). When the test information curve misleads: Exact bias, SE, and RMSE curves in Item Response Theory. Oral presentation at the 53rd Annual Meeting of the Behaviormetric Society, Kanagawa, Japan.
  3. Cheng, C., Yang, H.-H., Hsu, Y.-F., & Lay, K.-L. (2025). A methodology for addressing the biases caused by ipsative placement of Q-sort items. Poster at the SRCD 2025 Biennial Meeting, Minneapolis, MN, USA.
  4. Yang, H.-H., & Hsu, Y.-F. (2025). Paradigmatic decisions for measuring choices and preferences: Likert scales, comparative judgments, or combined models? Poster at the 89th Annual Convention of the Japanese Psychological Association, Sendai, Japan.

2024

  1. Cheng, C., Yang, H.-H., Hsu, Y.-F., & Lay, K.-L. (2024). Two are better than one: Incorporating Likert scale and comparative judgment data in joint Thurstonian IRT model. Oral presentation at the 63rd Annual Meeting of the Taiwanese Psychological Association, Taipei, Taiwan.
  2. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). On the existence and uniqueness of polychoric correlations. Poster at the 88th Annual Convention of the Japanese Psychological Association, Kumamoto, Japan.
  3. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). Existence and uniqueness of MLE of the ability in IRT. Poster at IMPS 2024, Prague, Czech Republic.
  4. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). Predetermined R squared: An index of later development determined by the past. Poster at 27th Biennial Meeting of the International Society for the Study of Behavioural Development (ISSBD), Lisbon, Portugal.
  5. Chen, K.-M., Chen, Y.-C., Hung, C.-C., & Yang, H.-H. (2024). Estimating preferences for college programs using Taiwanese college admission data. Oral presentation at Annual Conference of the Population Association of Taiwan, Taipei, Taiwan.
  6. Chen, K.-M., Chen, Y.-C., Hung, C.-C., & Yang, H.-H. (2024). Estimating preferences for college programs using Taiwanese college admission data. Oral presentation at the 18th International Symposium on Econometric Theory and Applications (SETA 2024), Taipei, Taiwan.

2023

  1. Chen, K.-M., Chen, Y.-C., Hung, C.-C., & Yang, H.-H. (2023). College and major preference estimation using Taiwanese college admission data. Oral presentation at Asian and Australasian Society of Labour Economics 2023 Conference, Taipei, Taiwan.
  2. Yang, H.-H., & Hsu, Y.-F. (2023). On the consistency and relative efficiency of a generalized Robbins-Monro process for threshold estimation. Poster at MathPsych 2023, Amsterdam, Netherlands.
  3. Yang, H.-H., Cheng, C., & Hsu, Y.-F. (2023). Evaluating SEs of parameter estimates in the 2PL model with exact parametric bootstrap. Poster at IMPS 2023, College Park, MD, USA.
  4. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2023). Identifiability of polychoric models with latent elliptical distributions. Oral presentation at IMPS 2023, College Park, MD, USA.

2021

  1. Yang, H.-H., & Hsu, Y.-F. (2021). Modification of the estimation method of threshold: A new adaptive method taking response time and response confidence into account. Oral presentation at the 60th Annual Meeting of the Taiwanese Psychological Association, Taipei, Taiwan.

Grants

  • National Taiwan University Doctoral Scholarship (NSTC Selection/Allocation), August 2025 – July 2026
  • College Student Research Scholarship, Ministry of Science and Technology, Taiwan (MOST 108-2813-C-002-115-H), July 2019 – February 2020

Teaching Assistant

  • PSY7001, Experimental Design, Fall 2024
  • PSY5033, Applied Linear Regression, Spring 2023
  • PSY7001, Experimental Design, Fall 2022
  • PSY3010, Intermediate Statistics, Fall 2021
  • PSY1004, Statistics in Psychology and Education II, Spring 2021
  • PSY1003, Statistics in Psychology and Education I, Fall 2020
  • PSY1004, Statistics in Psychology and Education II, Spring 2020
  • PSY1003, Statistics in Psychology and Education I, Fall 2019

Skills

Analytical

  • Statistical modeling
    • Principal component analysis
    • Factor analysis
    • Generalized linear models
  • Psychometrics
    • Structural equation modeling
    • Item response theory
  • Mathematical Psychology
    • Adaptive methods (Stochastic approximation)
    • Drift diffusion models
  • Neuroimage analysis (fMRI)

Programming

  • R
  • Python
  • Matlab
  • SAS
  • LaTeX
  • Stata
body.dark-mode, body.dark-mode main * { background: rgb(45, 45, 45); color: #f5f5f5; }