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

  • Huang, P.-H. (in press). Penalized least squares for structural equation modeling with ordinal responses. Multivariate Behavioral Research. doi:10.1080/00273171.2020.1820309 (JCR 2019 IF = 2.750).

  • Huang, P.-H. (2020). Post-selection inference in structural equation modeling. Multivariate Behavioral Research, 55(3), 344-360. doi: 10.1080/00273171.2019.1634996 (JCR 2019 IF = 2.750).

  • 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 (JCR 2019 IF = 13.642).

  • Huang, P.-H. (2018). A penalized likelihood method for multi-group structural equation modeling. British Journal of Mathematical and Statistical Psychology, 73(3), 499–522. doi: 10.1111/bmsp.12130 (JCR 2018 IF = 1.930).

  • 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 (JCR 2017 IF = 3.531).

  • 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 (JCR 2017 IF = 2.089).

  • 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 (JCR 2017 IF = 2.089).

  • 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, 211–237. (in Mandarin).

  • 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 (JCR 2012 IF = 1.657).