Selected Publications
Rovine, M. J., Weiss, E. M., & McDermott, P. A. (in press). It’s all regression: Fundamentals of developmental data analysis. In D. M. Teti, H. H. Cleveland, & K. Rulison (Eds.), Handbook of research methods in developmental science.
Gerstner, C., McDermott, P. A., Rovine, M. J., & Weiss, E. M. (in press). Contextual specificity in classroom adjustment: Latent profiles of primary school behavior problems in Trinidad and Tobago. International Journal of School and Educational Psychology.
Rovine, M. J., & McDermott, P. A. (2023). Touchstones of equivalence and the Houdini transformation. Multivariate Behavioral Research. Advance online publication. https://doi.org/10.1080/00273171.2023.2205390
Weiss, E. M., Gerstner, C. C., McDermott, P. A., & Rovine, M. J. (2023). Latent trajectories of learning- and teacher-context behavior problems across the primary school transition. Journal of Applied Developmental Psychology, 86, Article 101538. https://doi.org/10.1016/j.appdev.2023.101538
Heid, A. R., Abbott, K. M., Rovine, M. J., Eshraghi, K., Madrigal, C., Crumbie, V., & Van Haitsma, K. (2023). The stability of nursing home residents’ ratings of importance of recreation preferences in daily care over one year. Journal of Applied Gerontology, 41(8), 1942–1951. https://doi.org/10.1177/07334648221089239
McDermott, P. A., Rovine, M. J., Gerstner, C., Weiss, E. M., Watkins, M. W. (2022). Latent profile analysis of classroom behavior problems in an American national sample of prekindergarten children. Social Development, 31(4), 1059–1078. https://doi.org/10.1111/sode.12606
McDermott, P. A., Rovine, M. J., Weiss, E. M., Gladstone, J. N., Fatima, S. F., & Reyes, R. S. (2022). Latent change and co-occurrence of overactive and underactive behavior problems in American early education, School Psychology Review. Advance online publication. https://doi.org/10.1080/2372966X.2021.2000842
Weiss, E. M., McDermott, P. A., Rovine, M. J., & Oh, J. (2022). Latent growth trajectories of peer context problems across preschool, kindergarten and 1st grade. Early Education and Development, 33(6), 939–957. https://doi.org/10.1080/10409289.2021.1928445
Reyes, R. S., McDermott, P. A., Watkins, M. W., Rovine, M. J., & Chao, J. L. (2020). Forecasting accuracy of earliest assessment versus transitional change in early education classroom problem behavior among children at risk. School Psychology Review, 49(1), 47–59. https://doi.org/10.1080/2372966X.2020.1717372
Heid, A. R., Abbott, K. M., Kleban, M., Rovine, M. J., & Van Haitsma, K. S. (2020). The impact of nursing home residents’ characteristics on ratings of importance of autonomy preferences in daily care over time. Aging and Mental Health, 24(8), 1334–1341. https://doi.org/10.1080/13607863.2019.1584875
Chao, J. L., McDermott, P. A., Watkins, M. W., Rovine, M. J., Drogalis, A. R., Worrell, F. C., & Hall, T. E. (2019). Standardization of parental assessments of child adjustment in Trinidad and Tobago using exploratory multidimensional IRT. Caribbean Journal of Psychology, 10(2), 127–164.
McDermott, P. A., Rovine, M. J., Watkins, M. W., Rikoon, S. H., Irwin, C. W., Reyes, R., & Chao, J. L. (2019). Emergent growth patterns of early education self-control problems among children from underresourced American families. Early Childhood Research Quarterly, 48, 1–13. https://doi.org/10.1016/j.ecresq.2018.08.010
Rovine, M. J., & McDermott, P. A. (2018). Latent growth curve and repeated measures ANOVA contrasts: What the models are telling you. Multivariate Behavioral Research, 53(1), 90–101. https://doi.org/10.1080/00273171.2017.1387511
Abbott, K., Heid, A. R., Kleban, M., Rovine, M. J., & Van Haitsma, K. S. (2018). The change in nursing home residents’ preferences over time. Journal of the American Medical Directors Association, 19(12), 1092–1098. https://doi.org/10.1016/j.jamda.2018.08.004
McDermott, P. A., Rovine, M. J., Reyes, R. S., Chao, J. L., Scruggs, R., Buek, K., & Fantuzzo, J. W. (2018). Trajectories of early learning behaviors among children at risk: A growth mixture modeling approach. Psychology in the Schools, 55(10), 1205–1223. https://doi.org/10.1002/pits.22145
McDermott, P. A., Rovine, M. J., Buek, K., Reyes, R. S., Chao, J., & Watkins, M. (2018). Initial assessment versus gradual change in early childhood behavior problems—Which better foretells the future? Psychology in the Schools, 55(9), 1071–1085. https://doi.org/10.1002/pits.22150e
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. https://doi.org/10.1016/j.jsp.2017.07.002
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). 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. https://doi.org/10.1002/icd.1907
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(3), 259–267. https://doi.org/10.1016/j.ecresq.2014.02.004
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. https://doi.org/10.1177/1932296814524080
Liu, S., Rovine, M. J., Almeida, D., & Klein, L. (2013). Synchrony of diurnal Cortisol patterns in couples. Journal of Family Psychology, 27(4), 579–588. https://doi.org/10.1037%2Fa0033735
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(1), 97–115. https://doi.org/10.1016/j.jsp.2012.10.002
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. https://doi.org/10.1037/a0026971
Liu, S., Rovine, M. J., & Molenaar, P. (2012). Using fit indexes to select a covariance model for longitudinal data. Structural Equation Modeling, 19(4), 633–650. https://doi.org/10.1080/10705511.2012.726918
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). 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). 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). 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). 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). American Psychological Association 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). 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. https://doi.org/10.1207/s15327906mbr4001_4
Rovine, M. J., & Anderson, D. R. (2004). Peirce and Bowditch: An American contribution to correlation and regression. American Statistician, 59(3), 232–236. https://doi.org/10.1198/000313004X964
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). American Psychological Association 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. https://doi.org/10.1207/S15327906MBR3501_3
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(1), 42–46. https://doi.org/10.1080/00031305.1997.10473586