Hsiu-Ting Yu 游琇婷Psychometrics & Quantitative Methods Lab · NCCU

Publications

Refereed journal articles, book chapters, and book reviews

* corresponding author  ·  # graduate-student co-author. Open-access textbooks are listed under Books. Manuscripts under review are not listed.

Refereed journal articles

  • Yu, H.-T. (in press). Evaluating statistical methods for single-case designs under serial dependence: Precision, validity and sensitivity. Psychological Methods.
  • Yu, H.-T.*, & Yo, T.-S. (2026). Methodological implications of generative AI and large language models for psychological research: Redefining inferential conditions and boundaries. Chinese Journal of Psychology, 68(2), 107–123. [In Chinese] https://doi.org/10.6129/CJP.202606_68(2).0003游琇婷、游廷碩（2026）。生成式人工智慧與大型語言模型在心理學研究中的方法論意涵：推論條件與推論邊界的再界定。中華心理學刊，68(2)，107–123。
  • Hsiao, F.-C., Yu, H.-T., Kang, J. H., & Yang, C.-M.* (2026). Classifying weekday–weekend sleep pattern subtypes via latent class analysis: Associations with daytime functioning. Chronobiology International, 1–13. https://doi.org/10.1080/07420528.2026.2671352
  • Lee, W. L., Yu, H.-T., & Lin, Y. S. (2024). Ethical bonds transformation in bereaved Taiwanese families: A preliminary study. OMEGA – Journal of Death and Dying, 89(4), 1592–1608. https://doi.org/10.1177/00302228221097292
  • Huang, C.-L., Shaw, F.-T., Hsu, W.-Y., Yu, H.-T., Chang, S.-S., & Li, M. N. (2024). Mindsets of suicide trajectories: A Linguistic Inquiry and Word Count analysis of suicide hotline conversations. Suicide and Life-Threatening Behavior, 54, 1101–1112. https://doi.org/10.1111/sltb.13115
  • Lee, J.-I., Hsu, W.-Y., Huang, C.-L., Chang, S.-S., Shaw, F.-T., Yu, H.-T., & Yang, L.-X. (2023). Taiwan National Suicide Prevention Hotline callers' suicide risk level and emotional disturbance difference during and before COVID-19. Asian Journal of Psychiatry, 80, 103361. https://doi.org/10.1016/j.ajp.2022.103361
  • Su, Y.-J., Yu, H.-T., Liu, T.-Y., Lu, K.-H., Tu, C.-C., Lin, Y.-C., & Chen, R.-C. (2023). Trends in suicide attempts and suicide deaths before and during the COVID-19 pandemic in New Taipei City, Taiwan: An interrupted time-series analysis. Psychological Medicine, 53(10), 4364–4372. https://doi.org/10.1017/S0033291722001155
  • Yu, H.-T.*, & #Chen, Y.-Z. (2023). Applications of aptitude tests to national examinations: Possibilities and challenges. National Elite, 16(1), 51–65. [In Chinese]游琇婷、陳伊柔（2023）。性向測驗在國家考試中的可能應用性與挑戰。國家菁英季刊，16(1)，51–65。
  • Yu, H.-T. (2022). Estimating scale values of response anchors in Likert-type scales. Survey Research: Method and Application, 48, 149–184. [In Chinese]游琇婷（2022）。李克式量表標示語之心理計量尺值研究。調查研究：方法與應用，48，149–184。
  • Lin, Y.-T., Yu, H.-T., & Hsu, W.-Y. (2021). The day-to-day relationship between self-esteem and depressive mood in Chinese culture. Personality and Individual Differences, 177, 110808. https://doi.org/10.1016/j.paid.2021.110808
  • Ou-Yang, L.-W., Chang, P.-C., Chung, L.-C., Yu, H.-T., & Tsai, A. I. (2021). Treatment outcomes of pulpectomy in primary maxillary incisors filled with ZOE and Metapex: A two-year retrospective study. Journal of Clinical Pediatric Dentistry, 45(2), 83–89. https://doi.org/10.17796/1053-4625-45.2.3
  • Hsu, H. H., Lai, W. H., Yu, H.-T., Xiao, S. H., Tsai, Y. H., Wang, K. C., Huang, S. J., & Yang, C. C. (2021). Long-term presentation of postconcussion symptoms and associated factors: Analysis of latent class modeling. Archives of Clinical Neuropsychology, 36(1), 62–73. https://doi.org/10.1093/arclin/acaa063
  • Park, J., Cardwell, R., & Yu, H.-T.* (2020). Specifying the random effect structure in linear mixed effect models for analyzing psycholinguistic data. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 16(2), 92–111. https://doi.org/10.5964/meth.2809
  • Weng, L. J., Chen, P.-H., & Yu, H.-T.* (2019). Psychometrics in Taiwan: The past, present, and future. Chinese Journal of Psychology, 61, 277–294. [In Chinese] https://doi.org/10.6129/CJP.201912_61(4).0002翁儷禎、陳柏熹、游琇婷（2019）。台灣心理計量研究之回顧、現況與展望。中華心理學刊，61，277–294。
  • Jen, C.-H., Yang, C.-M.*, Chen, C.-W., Yu, H.-T., Lei, Y.-S., Lee, H.-C., & Sung, J.-Y. (2019). Development and psychometric evaluation of the Hypnotic-Use Urge Scale. Sleep and Biological Rhythms, 17, 63–72. https://doi.org/10.1007/s41105-018-0183-5
  • Park, J., & Yu, H.-T.* (2018). Recommendations on the sample sizes for multilevel latent class models. Educational and Psychological Measurement, 78(5), 737–761. https://doi.org/10.1177/0013164417719111
  • Park, J., & Yu, H.-T.* (2018). A comparison of approaches for estimating covariate effects in nonparametric multilevel latent class models. Structural Equation Modeling: A Multidisciplinary Journal, 25(5), 778–790. https://doi.org/10.1080/10705511.2018.1448711
  • Bélanger, E., Salah, T., Filiatrault, J., Yu, H.-T., & Zunzunegui, M. V. (2017). An empirical comparison of different models of active aging in Canada: The International Mobility in Aging Study. The Gerontologist, 57, 197–205. https://doi.org/10.1093/geront/gnv126
  • #Park, J., & Yu, H.-T.* (2016). The impact of ignoring the level of nesting structure in a multilevel latent class model. Educational and Psychological Measurement, 76(5), 824–847.
  • Yu, H.-T., Tsai, A. Y., & Yu, C. H. (2015). Development and validation of the social hierarchy scale. Psychological Testing, 62, 181–208.
  • Yu, H.-T. (2015). Applying linear mixed-effects models with crossed random effects to psycholinguistic data: Multilevel specification and model selection. The Quantitative Methods for Psychology, 11, 78–88.
  • Yu, H.-T. (2015). A typological and probabilistic approach for exploring cross-cultural differences: Two-level latent class models. Journal of Cross-Cultural Psychology, 46, 3–18.
  • Yu, H.-T., & #Park, J. (2014). Simultaneous decision on the number of latent clusters and classes for multilevel latent class models. Multivariate Behavioral Research, 49, 232–244.
  • Yu, H.-T. (2013). Models with discrete latent variables for analysis of categorical data: A framework and a MATLAB MDLV toolbox. Behavior Research Methods, 45, 1036–1047.
  • Yu, H.-T., & de Rooij, M. (2013). Model selection for the trend vector model. Journal of Classification, 30, 338–369.
  • Abbas, A. E., Budescu, D. V., Yu, H.-T., & Haggerty, R. (2008). A comparison of two probability encoding methods: Fixed probability vs. fixed variable values. Decision Analysis, 5, 190–202.
  • Anderson, C. J., & Yu, H.-T. (2007). Log-multiplicative association models as item response models. Psychometrika, 72, 5–23.
  • Budescu, D. V., & Yu, H.-T. (2007). Aggregation of opinions based on correlated cues and advisors. Journal of Behavioral Decision Making, 20, 153–177.
  • Budescu, D. V., & Yu, H.-T. (2006). To Bayes or not to Bayes: A comparison of two classes of models of information aggregation. Decision Analysis, 3, 145–162.
  • Budescu, D. V., Rantilla, A. K., Yu, H.-T., & Karelitz, T. M. (2003). The effects of asymmetry among advisors on the aggregation of their opinions. Organizational Behavior and Human Decision Processes, 90, 178–194.

Book chapters

  • Anderson, C. J., & Yu, H.-T. (2017). Properties of second-order exponential models as multidimensional response models. In W.-C. Wang, M. Wiberg, S. A. Culpepper, J. A. Douglas, & L. A. van der Ark (Eds.), Quantitative psychology: The 81st Annual Meeting of the Psychometric Society, 2016 (Springer Proceedings in Mathematics and Statistics, Vol. 196, pp. 9–19). Springer. https://doi.org/10.1007/978-3-319-56294-0_2
  • De Rooij, M., & Yu, H.-T. (2010). The trend vector model: Identification and estimation in SAS. In H. Locarek-Junge & C. Weihs (Eds.), Classification as a tool for research: Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V. (pp. 245–252). Springer.

Book reviews

  • Yu, H.-T. (2016). [Review of the book Longitudinal categorical data analysis, by B. C. Sutradhar]. Journal of Educational and Behavioral Statistics, 41, 451–454. https://doi.org/10.3102/1076998616631748
  • Yu, H.-T. (2009). [Review of the book Finite mixture and Markov switching models, by S. Frühwirth-Schnatter]. Psychometrika, 74, 559–560.