Siwei Liu

 Siwei  Liu


  • Assistant Professor
  • Human Development and Family Studies


Interests: Research Methodology, Biological, Cognitive, Social-Emotional, Family, Health and Mental Health
Life Phases: Infancy, Early Childhood, Adolescence/Emerging Adulthood, Adulthood, Aging

Research Interests

Longitudinal Data Analysis

  • Repeated measures design and analysis
  • Intensive longitudinal data (e.g., daily diary, EMA)
  • Mixed model; Multilevel model
  • Structural Equation Modeling (SEM)

Dynamic Systems Modeling

  • Time series analysis
  • Dyadic processes

Select Publications

Liu, S., Rovine, M., Klein, L. C., & Almeida, D. (2013). Synchrony of diurnal cortisol pattern in couples. Journal of Family Psychology, 27, 579-588.

Anzman-Frasca, S., Liu, S., Gates, K., Paul, I., Rovine, M., & Birch, L. (2013). Infants' transitions out of a fussing/crying state are modifiable and have implications for weight status. Infancy, 18, 662-686.

Palumbo, R., Liu, S., Goodwin, M. S., Velicer, W. F., & Molenaar, P. C. M. (2012). An idiographic approach to interpersonal physiological research. International Journal of Behavioral Medicine, 19 (Suppl 1), S222.

Liu, S., Rovine, M., & Molenaar, P.  C. M. (2012). Using fit indices to select a covariance model for longitudinal data. Structural Equation Modeling, 19, 633-650. 

Liu, S., Rovine, M., & Molenaar, P. C. M. (2012). Selecting a linear mixed model for longitudinal data: Repeated measures ANOVA, covariance pattern model, and growth curve approaches. Psychological Methods, 17, 15-30. 

Liu, S., & Hynes, K., (2012). Are difficulties balancing work and family associated with subsequent fertility? Family Relations, 61, 16-30. 

Rovine, M., & Liu, S. (2011), Structural equation modeling approaches to longitudinal data. In J. T. Newsom, R. N. Jones, & S. M. Hofer (Eds). Longitudinal data analysis: A practical guide for researchers in aging, health, and social sciences. New York: Routledge.

Wu, G., Liu, S., Zhang, Y., & Hu, Q. (2006). The structure of disasters in modern city and the characteristics of psychological responses (China). Psychological Science, No. 1.