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