Publications
Wang, M., Sun, S., Liu, X., Yang, Y., Liu, C., Huang, A., & Liu, S. (2023). Interparental conflict and early adolescent depressive symptoms: Parent-child triangulation as the mediator and grandparent support as the moderator. Journal of Youth and Adolescence.
Liu, S. & Zhou, D. (2023). Using cross‐validation methods to select time series models: Promises and pitfalls. British Journal of Mathematical and Statistical Psychology.
Liu, S., Gates, K., & Ferrer, E. (2023). Homogeneity assumptions in the analysis of dynamic processes. Multivariate Behavioral Research.
Luo, X., Liu, S., Levendosky, A., Good, E., Turchan, J., Hopwood, C. J. (2022). Idiographic and nomothetic relationships between momentary interpersonal behaviors, interpersonal complementarity, and alliance ruptures in psychotherapy. Journal of Counseling Psychology, 69(5), 642-655.
Li, Z., Sturge-Apple, M. L., Schupbach, E., Liu, S., & Davies, P. T. (2022). Dynamic interdependence in parenting behavior: The role of family and child risk factors. Journal of Family Psychology, 36(6), 874-884.
Rast, P., Martin, S. R., Liu, S., & Williams, D. R. (2022). A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroscedasticity models. Psychological Methods, 27(5), 856-873.
Halpin, P., Gates, K. M., & Liu, S. (2022). Guest editors’ introduction to the invited special section on forecasting with intensive longitudinal data. Psychometrika, 87, 373-375.
Usacheva, M., Choe, D., Liu, S., Timmer, S., & Belsky, J. (2022). Testing the empirical integration of threat-deprivation and harshness-unpredictability dimensional models of adversity. Development and Psychopathology, 34(2), 513-526.
Rogers, C. R., Qu, Y., Lee, T.-H., Liu, S., & Kim, S. H. (2022). Editorial: Similarities and discrepancies across family members at multiple levels: Insights from behavior, psychophysiology, and neuroimaging. Frontiers in Psychology, 12.
Liu, S. & Rhemtulla, M. (2022). Treating random effects as observed versus latent predictors: The bias-variance tradeoff in small samples. British Journal of Mathematical and Statistical Psychology, 75(1), 158-181.
Simmons, L. A., Phipps, J. E., Overstreet, C., Smith, P. M., Bechard, E., Liu, S., Walker, C., & Noonan, D. (2022). Goals for reaching optimal wellness (GROWell): A clinical trial protocol of a digital dietary intervention for pregnant and postpartum people with prenatal overweight or obesity. Contemporary Clinical Trials, 113, 106627.
Liu, S., Ou, L., & Ferrer, E. (2021). Dynamic mixture modeling using “dynr”. Multivariate Behavioral Research, 56(6), 941-955.
Ugarte, E., Liu, S., & Hastings, P. (2021). Parasympathetic activity, emotion socialization and internalizing and externalizing problems in children: Longitudinal associations between and within families. Developmental Psychology, 57(9), 1525-1539.
Huo, M., Miller, L., Kim, K., & Liu, S. (2021). Volunteering, self-perceptions of aging, and mental health in late life. The Gerontologist, 61(7), 1030-1040.
O’Laughlin, K. D., Liu, S., & Ferrer, E. (2021). Use of composites in analysis of individual time series: Implications for person-specific dynamic parameters. Multivariate Behavioral Research, 56(3), 408-425.
Liu, S., Kuppens, P. & Bringmann, L. (2021). On the use of empirical Bayes estimates as measures of individual traits. Assessment, 28(3), 845-857.
Usacheva, M., Timmer, S., Choe, D., Liu, S., Thurston, H., & Urquiza, A. (2021). Long-term mental health services use in children referred to a clinical intervention. Child Abuse & Neglect, 111, 104763.
Williams, D. R., Liu, S., Martin, S. R., & Rast, P. (2020). Bayesian multivariate mixed-effects location scale modeling of longitudinal relations among affective traits, states, and physical activity. European Journal of Psychological Assessment, 36(6), 981-997.
Liu, S. (2020). Using reactivity as a predictor of health and well-being: A comparison of two approaches. Annals of Behavioral Medicine, 54(suppl), 409.
Li, Z., Sturge-Apple, M. L., Liu, S., & Davies, P. T. (2020). Integrating a multilevel approach to examine family conflicts and parent-adolescent physiological synchrony. Journal of Family Psychology, 34(7), 773-783.
Li, Z., Sturge-Apple, M. L., Liu, S., & Davies, P. T. (2020). Parent-adolescent physiological synchrony: Moderating effects of adolescent emotional insecurity. Psychophysiology, 57(9), e13596.
Hibel, L. C., Buhler-Wassmann, A. C., Trumbell, J. M., & Liu, S. (2019). Marital conflict sensitizes mothers to infant irritability: A randomized controlled experiment. Infant and Child Development, 28(3), e2127.
Feinberg, M. E., Jones, D. E., McDaniel, B. T., Liu, S., & Almeida, D. (2019). New fathers’ and mothers’ daily stressors and resources influence parent adjustment and family relationships. Monographs of the Society for Research in Child Development, 84(1), 18-34.
Li, Z., Liu, S., Hartman, S., & Belsky, J. (2018). Interactive effects of early-life income harshness and unpredictability on children’s socioemotional and academic functioning in kindergarten and adolescence. Developmental Psychology, 54(11), 2101-2112.
Meyer, O. L., Leggett, A., Liu, S., & Nguyen, N. H. (2018). Prevalence and correlates of subjective memory complaints in a population-based study of Vietnamese adults. International Psychogeriatrics, 30(7), 1039-1048.
Liu, S., Gates, K. M., & Blandon, A. (2018). Directly assessing interpersonal RSA influences in the frequency domain: An illustration with generalized partial directed coherence. Psychophysiology, 55(6), e13054. Download supporting materials here.
Liu, S. (2018). Accuracy and reliability of autoregressive parameter estimates: A comparison between person-specific and multilevel approaches. In M. Wiberg et al. (Eds.), Quantitative Psychology (pp. 385-394). Cham, Switzerland: Springer.
Uchikoshi, Y., Yang, L., & Liu, S. (2018). Role of narrative skills on reading comprehension: Spanish-English and Cantonese-English dual language learners. Reading and Writing, 31(2), 381-404.
Liu, S. (2017). Person-specific versus multilevel autoregressive models: Accuracy in parameter estimates at the population and individual levels. British Journal of Mathematical and Statistical Psychology, 70(3), 480-498.
Wang, M., Liu, S., & Belsky, J. (2017). Triangulation processes experienced by children in contemporary China. International Journal of Behavioral Development, 41(6), 688-695.
Palumbo, R. V., Marraccini, M. E., Weyandt, L. L., Wilder-Smith, O., McGee, H. A., Liu, S., & Goodwin, M. S. (2017). Interpersonal autonomic physiology: A systematic review of the literature. Personality and Social Psychology Review, 21(2), 99-141.
Gates, K. M., & Liu, S. (2016). Methods for quantifying patterns of dynamic interactions in dyads. Assessment, 23(4), 459-471.
Liu, S., Zhou, Y., Palumbo, R., & Wang, J.-L. (2016). Dynamical correlation: A new method for quantifying synchrony with multivariate intensive longitudinal data. Psychological Methods, 21(3), 291-308.
Note: There were errors in the original R script published with this paper that could lead to incorrect significance testing results. These errors have now been corrected. You can download the updated R script here. We sincerely apologize for any inconvenience.
Liu, S., & Molenaar, P. C. M. (2016). Testing for Granger causality in the frequency domain: A phase resampling method. Multivariate Behavioral Research, 51, 53-66.
Liu, S., & Molenaar, P. C. M. (2014). iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models. Behavior Research Methods, 46, 1138-1148.
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.
Liu, S., & Palumbo, R. (2013). Dynamic modeling of interpersonal electrodermal activity using cointegration methodology. Psychophysiology, 50, (Suppl 1), S19.
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 (pp. 243-270). 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. Psychological Science (Chinese), No. 1.
Liu, S. & Zhou, D. (2023). Using cross‐validation methods to select time series models: Promises and pitfalls. British Journal of Mathematical and Statistical Psychology.
Liu, S., Gates, K., & Ferrer, E. (2023). Homogeneity assumptions in the analysis of dynamic processes. Multivariate Behavioral Research.
Luo, X., Liu, S., Levendosky, A., Good, E., Turchan, J., Hopwood, C. J. (2022). Idiographic and nomothetic relationships between momentary interpersonal behaviors, interpersonal complementarity, and alliance ruptures in psychotherapy. Journal of Counseling Psychology, 69(5), 642-655.
Li, Z., Sturge-Apple, M. L., Schupbach, E., Liu, S., & Davies, P. T. (2022). Dynamic interdependence in parenting behavior: The role of family and child risk factors. Journal of Family Psychology, 36(6), 874-884.
Rast, P., Martin, S. R., Liu, S., & Williams, D. R. (2022). A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroscedasticity models. Psychological Methods, 27(5), 856-873.
Halpin, P., Gates, K. M., & Liu, S. (2022). Guest editors’ introduction to the invited special section on forecasting with intensive longitudinal data. Psychometrika, 87, 373-375.
Usacheva, M., Choe, D., Liu, S., Timmer, S., & Belsky, J. (2022). Testing the empirical integration of threat-deprivation and harshness-unpredictability dimensional models of adversity. Development and Psychopathology, 34(2), 513-526.
Rogers, C. R., Qu, Y., Lee, T.-H., Liu, S., & Kim, S. H. (2022). Editorial: Similarities and discrepancies across family members at multiple levels: Insights from behavior, psychophysiology, and neuroimaging. Frontiers in Psychology, 12.
Liu, S. & Rhemtulla, M. (2022). Treating random effects as observed versus latent predictors: The bias-variance tradeoff in small samples. British Journal of Mathematical and Statistical Psychology, 75(1), 158-181.
Simmons, L. A., Phipps, J. E., Overstreet, C., Smith, P. M., Bechard, E., Liu, S., Walker, C., & Noonan, D. (2022). Goals for reaching optimal wellness (GROWell): A clinical trial protocol of a digital dietary intervention for pregnant and postpartum people with prenatal overweight or obesity. Contemporary Clinical Trials, 113, 106627.
Liu, S., Ou, L., & Ferrer, E. (2021). Dynamic mixture modeling using “dynr”. Multivariate Behavioral Research, 56(6), 941-955.
Ugarte, E., Liu, S., & Hastings, P. (2021). Parasympathetic activity, emotion socialization and internalizing and externalizing problems in children: Longitudinal associations between and within families. Developmental Psychology, 57(9), 1525-1539.
Huo, M., Miller, L., Kim, K., & Liu, S. (2021). Volunteering, self-perceptions of aging, and mental health in late life. The Gerontologist, 61(7), 1030-1040.
O’Laughlin, K. D., Liu, S., & Ferrer, E. (2021). Use of composites in analysis of individual time series: Implications for person-specific dynamic parameters. Multivariate Behavioral Research, 56(3), 408-425.
Liu, S., Kuppens, P. & Bringmann, L. (2021). On the use of empirical Bayes estimates as measures of individual traits. Assessment, 28(3), 845-857.
Usacheva, M., Timmer, S., Choe, D., Liu, S., Thurston, H., & Urquiza, A. (2021). Long-term mental health services use in children referred to a clinical intervention. Child Abuse & Neglect, 111, 104763.
Williams, D. R., Liu, S., Martin, S. R., & Rast, P. (2020). Bayesian multivariate mixed-effects location scale modeling of longitudinal relations among affective traits, states, and physical activity. European Journal of Psychological Assessment, 36(6), 981-997.
Liu, S. (2020). Using reactivity as a predictor of health and well-being: A comparison of two approaches. Annals of Behavioral Medicine, 54(suppl), 409.
Li, Z., Sturge-Apple, M. L., Liu, S., & Davies, P. T. (2020). Integrating a multilevel approach to examine family conflicts and parent-adolescent physiological synchrony. Journal of Family Psychology, 34(7), 773-783.
Li, Z., Sturge-Apple, M. L., Liu, S., & Davies, P. T. (2020). Parent-adolescent physiological synchrony: Moderating effects of adolescent emotional insecurity. Psychophysiology, 57(9), e13596.
Hibel, L. C., Buhler-Wassmann, A. C., Trumbell, J. M., & Liu, S. (2019). Marital conflict sensitizes mothers to infant irritability: A randomized controlled experiment. Infant and Child Development, 28(3), e2127.
Feinberg, M. E., Jones, D. E., McDaniel, B. T., Liu, S., & Almeida, D. (2019). New fathers’ and mothers’ daily stressors and resources influence parent adjustment and family relationships. Monographs of the Society for Research in Child Development, 84(1), 18-34.
Li, Z., Liu, S., Hartman, S., & Belsky, J. (2018). Interactive effects of early-life income harshness and unpredictability on children’s socioemotional and academic functioning in kindergarten and adolescence. Developmental Psychology, 54(11), 2101-2112.
Meyer, O. L., Leggett, A., Liu, S., & Nguyen, N. H. (2018). Prevalence and correlates of subjective memory complaints in a population-based study of Vietnamese adults. International Psychogeriatrics, 30(7), 1039-1048.
Liu, S., Gates, K. M., & Blandon, A. (2018). Directly assessing interpersonal RSA influences in the frequency domain: An illustration with generalized partial directed coherence. Psychophysiology, 55(6), e13054. Download supporting materials here.
Liu, S. (2018). Accuracy and reliability of autoregressive parameter estimates: A comparison between person-specific and multilevel approaches. In M. Wiberg et al. (Eds.), Quantitative Psychology (pp. 385-394). Cham, Switzerland: Springer.
Uchikoshi, Y., Yang, L., & Liu, S. (2018). Role of narrative skills on reading comprehension: Spanish-English and Cantonese-English dual language learners. Reading and Writing, 31(2), 381-404.
Liu, S. (2017). Person-specific versus multilevel autoregressive models: Accuracy in parameter estimates at the population and individual levels. British Journal of Mathematical and Statistical Psychology, 70(3), 480-498.
Wang, M., Liu, S., & Belsky, J. (2017). Triangulation processes experienced by children in contemporary China. International Journal of Behavioral Development, 41(6), 688-695.
Palumbo, R. V., Marraccini, M. E., Weyandt, L. L., Wilder-Smith, O., McGee, H. A., Liu, S., & Goodwin, M. S. (2017). Interpersonal autonomic physiology: A systematic review of the literature. Personality and Social Psychology Review, 21(2), 99-141.
Gates, K. M., & Liu, S. (2016). Methods for quantifying patterns of dynamic interactions in dyads. Assessment, 23(4), 459-471.
Liu, S., Zhou, Y., Palumbo, R., & Wang, J.-L. (2016). Dynamical correlation: A new method for quantifying synchrony with multivariate intensive longitudinal data. Psychological Methods, 21(3), 291-308.
Note: There were errors in the original R script published with this paper that could lead to incorrect significance testing results. These errors have now been corrected. You can download the updated R script here. We sincerely apologize for any inconvenience.
Liu, S., & Molenaar, P. C. M. (2016). Testing for Granger causality in the frequency domain: A phase resampling method. Multivariate Behavioral Research, 51, 53-66.
Liu, S., & Molenaar, P. C. M. (2014). iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models. Behavior Research Methods, 46, 1138-1148.
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.
Liu, S., & Palumbo, R. (2013). Dynamic modeling of interpersonal electrodermal activity using cointegration methodology. Psychophysiology, 50, (Suppl 1), S19.
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 (pp. 243-270). 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. Psychological Science (Chinese), No. 1.
