2026
Papers in Referred Journals
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,61(2),107–124。https://doi.org/10.6129/CJP.202606_68(2).003
[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), 107–124. https://doi.org/10.6129/CJP.202606_68(2).003(In Chinese)]
Conference Presentations
Yu, H.-T. (2026, Jul). The Illusion of Zero Effects: Unmasking Attenuation Bias in Intensive Longitudinal Data. Paper presented at the International Meeting of the Psychometric Society, Seoul, Korea
Deng, C.-Y. & Yu, H.-T. (2026, Jul). Dimensionality Recovery Across Structural Regimes: From Stochastic Block Models to Gaussian Graphical Representations. Paper presented at the International Meeting of the Psychometric Society, Seoul, Korea.