Rovine, M., & McDermott, P. (2018). Latent growth curve and repeated measures ANOVA contrasts: What the models are telling you. Multivariate Behavioral Research, 53(1), 90–101. DOI: 10.1080/00273171.2017.1387511
McDermott, P. A., Watkins, M. W., Rovine, M. J., Rikoon, S. H., Irwin, C. W., Reyes, R. S., & Chao, J. (2018, accepted for publication). Emergent growth patterns of early education self-control problems among children from underresourced American families. Early Child Research Quarterly.
McDermott, P. A., Rovine, M. J., Buek, K., Reyes, R. S., Chao, J., & Watkins, M. (2018, in press). Initial assessment versus gradual change in early childhood behavior problems: Which better foretells the future. Psychology in the Schools.
McDermott, P. A., Rovine, M. J., Reyes, R. S., Chao, J. L., Scruggs, R., Buek, K., & Fantuzzo, J. W. (2018, in press). Trajectories of early learning behaviors among children at risk: A growth mixture modeling approach. Psychology in the Schools.
Lee, J. E., Martire, L. M., Zarit, S. H., & Rovine, M. J., (2017). Activity restriction and depressive symptoms in older couples. Journal of Aging and Health, 29, 1251–1267. DOI: 10.1177/0898264316660413
Liu, Y., Bangerter, L. R., Rovine, M. J., Zarit, S. H., & Almeida, D. M. (2017). Intrinsic emotional fluctuation in daily negative affect across adulthood. Journal of Gerontology: Psychological Sciences, 73(1), 100–112. DOI: 10.1093/geronb/gbw159
McDermott, P. A., Rovine, M. J., Watkins, M. W., Chao, J. L., Irwin, C. W., & Reyes, R. (2017). Latent national subpopulations of early education classroom disengagement of children from under-resourced families. Journal of School Psychology, 65, 69–82.
Lo, L., Molenaar, P., & Rovine, M. (2017). Determining the number of factors in P-technique factor analysis. Applied Developmental Science. DOI: 10.1080/10888691.2016.1173549
Liu, Y., Almeida, D., Rovine, M., & Zarit, S. (2017). Care transitions and adult day services moderate the longitudinal links between stress biomarkers and family caregivers’ functional health. Gerontology. DOI:10.1159/000475557
Rovine, M., & Lo, L. (2017). Person-specific individual approaches in developmental research. In N. Card (Ed.), Monographs of the Society for Research in Child Development. DOI: 10.1111/mono.12300
Zarit, S., Bangerter, L., Liu, Y., & Rovine, M. (2017). Exploring the benefits of respite services to family caregivers: Methodological issues and current findings. Aging and Mental Health. DOI: 10.1080/13607863.2015.1128881.
Meeks, S., Van Haitsma, K., Mast, B., Arnold, S., Streim, J., Sephton, S., Smith, P., Kleban, M., & Rovine, M. J. (2016). Psychological and social resources relate to biomarkers of allostasis in newly admitted nursing home residents. Aging and Mental Health. DOI: 10.1080/13607863.2015.1072796
Padilla, J., McHale, S., Rovine, M., Updegraff, K., & Umana-Taylor, A. (2016). Parent-youth differences in family values from adolescence into young adulthood: Developmental course and links with parent-youth conflict. Journal of Youth and Adolescence. DOI: 10.1007/s10964-016-0518-y
Liu, Y., Almeida, D., Rovine, M., & Zarit, S. (2016). Modeling daily cortisol rhythms of family caregivers of individuals with dementia: Daily stressors and adult day services (ADS) use. Journal of Gerontology: Psychological Sciences. DOI: 10.1093/geronb/gbw140
Lee, J., Zarit, S., Rovine, M., Birditt, K., & Fingerman, K. (2016). The interdependence of relationships with adult children and spouses. Family Relations, 65(2), 342-353. DOI: 10.1111/fare.12188
Rovine, M. J., & Molenaar, P. C. M. (2016). Person-specific approaches to the modeling of intra-individual variation in developmental psychopathology. In D. Cicchetti (Ed.), Developmental psychopathology (pp. 238–273). New York: Wiley.
Stifter, C., & Rovine, M. J. (2015). Modeling dyadic processes using hidden Markov models: A time series approach to mother-infant interactions during infant immunization. Infant and Child Development, 24(3), 298–321.
McDermott, P. A., Watkins, M. W., Rovine, M. J., & Rikoon, S. H. (2014). Informing context and change in young children's sociobehavioral development: The national Adjustment Scales for Early Transition in Schooling (ASETS). Early Childhood Research Quarterly, 29, 259-267.
Wang, Q., Molenaar, P., Harsh, S., Freeman, K., Xie, J., Gold, C., Rovine, M. J., & Ulbrecht, J. (2014). Personalized state-space modeling of glucose dynamics for Type 1 diabetes using continuously monitored glucose, insulin dose and meal intake: An extended Kalman filter approach. Journal of Diabetes Science and Technology, 8(2), 331–345.
Liu, S., Rovine, M. J., Almeida, D., & Klein, L. (2013). Synchrony of diurnal Cortisol patterns in couples. Journal of Family Psychology, 27, 579–588.
McDermott, P. A., Watkins, M., Rovine, M. J., & Rikoon, S. (2013). Assessing changes in socioemotional adjustment across early school transitions: New national scales for children at risk. Journal of School Psychology, 51, 97–115.
Liu, S., Rovine, M. J., & Molenaar, P. (2012). Selecting a linear mixed model for longitudinal data: Repeated measures ANOVA, covariance pattern models and growth curve approaches. Psychological Methods, 17(1), 15–30.
Liu, S., Rovine, M. J., & Molenaar, P. (2012). Using fit indices to select a covariance model for longitudinal data. Structural Equation Modeling, 19(4), 633–650.
Rovine, M. J., & Anderson, D. R. (2012). Peirce’s coefficient of the science of the method: An early form of the correlation coefficient. In D. R. Anderson & C. Hausman (Eds.), A conversation on Peirce (pp. 246–274). New York, NY: Fordham University Press.
Anderson, D. R., & Rovine, M. J. (2012). Peirce and Pearson: The aims of inquiry. In D. R. Anderson & C. Hausman (Eds.), A conversation on Peirce (pp. 238–273). New York, NY: Fordham University Press.
Rovine, M. J., & Lo, L. (2012). Issues and perspectives in person specific time series models. In B. Laursen, T. Little, & N. Card (Eds.), Handbook of developmental research methods (pp. 313–332). New York, NY: Guilford.
Rovine, M. J., & Liu, S. (2011). Structural equations modeling approaches to longitudinal data. In J. Newsom, R. Jones, & S. Hofer (Eds.), Longitudinal data analysis (pp. 243–270). New York, NY: Psychology Press.
Rovine, M. J., Sinclair, K. O., Stifter, C. A. (2010). Modeling mother-infant interactions using hidden Markov models. In K. Newell & P. C. M. Molenaar (Eds.), Individual pathways of change in learning and development (pp. 51–67). Washington, D.C.: APA Press.
Rovine, M. J., & Walls, T. A. (2006). A multilevel autoregressive model to describe interindividual differences in the stability of a process. In J. L. Schafer & T. A. Walls (Eds.), Models for intensive longitudinal data (pp. 124–147). New York, NY: Oxford.
Rovine, M. J., & Molenaar, P. C. M. (2005). Relating factor models for longitudinal data to quasi-simplex and NARMA models. Multivariate Behavioral Research, 40(1), 83–115.
Rovine, M. J., & Anderson, D. R. (2004). Peirce and Bowditch: An American contribution to correlation and regression. American Statistician, 59(3), 232–236.
Rovine, M. J., & Molenaar, P. C. M. (2001). A structural equations modeling approach to the general linear mixed model. In L. Collins & A. Sayer (Eds.), New methods for the analysis of change (pp. 65–96). Washington, D.C.: APA Press.
Rovine, M. J., & Molenaar, P. C. M. (2000). A structural modeling approach to the random coefficients model. Multivariate Behavioral Research, 35(1), 51–88.
Rovine, M. J., & von Eye, A. (1997). A 14th way to look at a correlation coefficient: Correlation as the proportion of matches. American Statistician, 51, 42–46.