Xin (Cynthia) Tong

Assistant Professor


Office Address

1023 Millmont and 028 Gilmer Hall

Office Hours:
Tue: 12:45-1:45 Gimer 028
Wed: 10:00-12:00 Millmont 107

Biography

Research Interests

Cynthia Tong’s research focuses on developing and applying statistical methods in the areas of developmental and health studies.  Methodologically, she is interested in Bayesian methodology, growth curve modeling, and robust structural equation modeling with nonnormal and missing data.  Substantively, she is interested in analyzing the longitudinal development of cognitive ability and achievement skills.
 
Recent Publications:
 

  • Tong, X., Zhang, Z., & Yuan, K.-H. (2014). Evaluation of test statistics for robust structural equation modeling with nonnormal missing data. Structural Equation Modeling: A Multidisciplinary Journal, 21, 553–565.
  • Tong, X., & Zhang, Z. (2014). Semiparametric Bayesian modeling with application in growth curve analysis. Multivariate Behavioral Research, 49, 299. (Abstract)
  • Yuan, K.-H., Tong, X., & Zhang, Z. (2014). Bias and efficiency for SEM with missing data and auxiliary variables: Two-Stage Robust Method versus Two-Stage ML. Structural Equation Modeling: A Multidisciplinary Journal, DOI: 10.1080/10705511.2014.935750
  • Zhang, Z., Lai, K., Lu, Z., & Tong, X. (2013). Bayesian inference and application of robust growth curve models using student’s t distribution. Structural Equation Modeling: A Multidisciplinary Journal, 20(1), 47-78.
  • Tong, X., & Zhang, Z. (2012). Diagnostics of robust growth curve modeling using student’s t distribution. Multivariate Behavioral Research, 47(4), 493-518.
  • Tong, X., Zhang, Z., & Yuan, K.-H. (2011). Evaluation of test statistics for robust structural equation modeling with non-normal missing data. Multivariate Behavioral Research, 46, 1016. (Abstract)