Research
My current research interest is in developing quantitative methods from both psychomatric and machine learning perspective. Before that, my research is in understanding how to correctly and efficiently apply structural equation modeling (SEM) for discovering relationships among both observable variables and latent factors.
Journal Papers
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黃柏僩(2025)。應用機器學習於小樣本研究:巢套交叉驗證之倡議。中華心理學刊,67(1)。doi: 10.6129/CJP.202503_67(1).0001
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Huang, P.-H. (2025). Residual permutation tests for feature importance in machine learning. British Journal of Mathematical and Statistical Psychology. Advance online publication. doi: 10.1111/bmsp.70009
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Ng, C.-T., Huang, P.-H., Cho, Y.-C., Lee, P.-H., Liu, Y.-C., & Chang, T.-T. (2024). Frontoparietal and salience network synchronizations during nonsymbolic magnitude processing predict brain age and mathematical performance in youth. Human Brain Mapping, 45(11), e26777. doi: 10.1002/hbm.26777
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Huang, P.-H. (2023). Accelerating item factor analysis on GPU with Python package xifa. Behavior Research Methods, 55(8), 4403–4418. doi: 10.3758/s13428-022-02024-x
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Yang, L.-Q., Wang, W., Huang, P.-H., & Nguyen, A. (2022). Optimizing measurement reliability in within-person research: Guidelines for research design and R Shiny web application tools. Journal of Business and Psychology, 37(6), 1141–1156. doi: 10.1007/s10869-022-09803-5
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Huang, P.-H. (2022). Penalized least squares for structural equation modeling with ordinal responses. Multivariate Behavioral Research, 57(2-3), 279–297. doi: 10.1080/00273171.2020.1820309
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Wu, H.-J., Yu, Y.-F., Ku, S. W.-W., Tseng, Y.-C., Yuan, C.-W., Li, C.-W., Huang, P.-H., Ko, N.-Y., Anderson, P. L., & Strong, C. (2022). Usability and effectiveness of adherence monitoring of a mobile app designed to monitor and improve adherence to event-driven and daily HIV pre-exposure prophylaxis among men who have sex with men in Taiwan. DIGITAL HEALTH, 8, Article 20552076221102770. doi: 10.1177/20552076221102770
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簡欣儀、黃柏僩、許文耀、林怡彤(2021)。網路遊戲動機與網路遊戲成癮之潛在剖面分析。中華心理衛生學刊,34(4),303–343。doi: 10.30074/FJMH.202112_34(4).0001
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鄧祈允、黃柏僩(2021)。雙因素模型下測驗分數信度係數之比較。測驗學刊,68(3),209–231。doi: 10.7108/PT.202109_68(3).0002
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Strong, C., Wu, H.-J., Tseng, Y.-C., Yuan, C.-W., Yu, Y.-F., Liao, J. C., Chen, Y.-W., Hung, Y.-C., Li, C.-W., Huang, P.-H., Ko, N.-Y., & Ku, S. W.-W. (2020). Mobile app (UPrEPU) to monitor adherence to pre-exposure prophylaxis in men who have sex with men: Protocol for a user-centered approach to mobile app design and development. JMIR Research Protocols, 9(12), e20360. doi: 10.2196/20360
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Huang, P.-H. (2020). Postselection inference in structural equation modeling. Multivariate Behavioral Research, 55(3), 344–360. doi: 10.1080/00273171.2019.1634996
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Huang, P.-H. (2020). lslx: Semi-confirmatory structural equation modeling via penalized likelihood. Journal of Statistical Software, 93(7), 1–37. doi: 10.18637/jss.v093.i07
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Huang, P.-H. (2018). A penalized likelihood method for multi-group structural equation modeling. British Journal of Mathematical and Statistical Psychology, 71(3), 499–522. doi: 10.1111/bmsp.12130
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Lin, L.-C., Huang, P.-H., & Weng, L.-J. (2017). Selecting path models in SEM: A comparison of model selection criteria. Structural Equation Modeling: A Multidisciplinary Journal, 24(6), 855–869. doi: 10.1080/10705511.2017.1363652
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Huang, P.-H. (2017). Asymptotics of AIC, BIC, and RMSEA for model selection in structural equation modeling. Psychometrika, 82(2), 407–426. doi: 10.1007/s11336-017-9572-y
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Huang, P.-H., Chen, H., & Weng, L.-J. (2017). A penalized likelihood method for structural equation modeling. Psychometrika, 82(2), 329–354. doi: 10.1007/s11336-017-9566-9
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Chang, J.-H., Chen, S.-P., Chen, P.-J., Huang, P.-H., Lin, T.-Y., & Chao, H.-F. (2013). Psychometric properties of the Chinese translation of environmental concern. Psychological Testing, 60(1), 211–237. (in Mandarin). doi: 10.7108/PT.201303_60(1).0009
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Huang, P.-H., & Weng, L.-J. (2012). Estimating the reliability of aggregated and within-person centered scores in ecological momentary assessment. Multivariate Behavioral Research, 47(3), 421–441. doi: 10.1080/00273171.2012.673924