Michael J. Rovine

Affiliations: 
Pennsylvania State University, State College, PA, United States 
Area:
Psychometrics Psychology, Neuroscience Biology
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"Michael Rovine"
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Publications

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Rovine MJ, McDermott PA. (2018) Latent Growth Curve and Repeated Measures ANOVA Contrasts: What the Models are Telling You. Multivariate Behavioral Research. 53: 90-101
McDermott PA, Rovine MJ, Watkins MW, et al. (2017) Latent national subpopulations of early education classroom disengagement of children from underresourced families. Journal of School Psychology. 65: 69-82
Rovine MJ, Molenaar PC. (2016) A Structural Modeling Approach to a Multilevel Random Coefficients Model. Multivariate Behavioral Research. 35: 51-88
Rovine MJ, Molenaar PCM. (2016) Person‐Specific Approaches to the Modeling of Intraindividual Variation in Developmental Psychopathology Development and Psychopathology. 1-20
Stifter CA, Rovine M. (2015) Modeling dyadic processes using Hidden Markov Models: A time series approach to mother-infant interactions during infant immunization. Infant and Child Development. 24: 298-321
Anzman-Frasca S, Liu S, Gates KM, et al. (2013) Infants' Transitions out of a Fussing/Crying State Are Modifiable and Are Related to Weight Status. Infancy : the Official Journal of the International Society On Infant Studies. 18: 662-686
Liu S, Rovine MJ, Klein LC, et al. (2013) Synchrony of diurnal cortisol pattern in couples. Journal of Family Psychology : Jfp : Journal of the Division of Family Psychology of the American Psychological Association (Division 43). 27: 579-88
Liu S, Rovine MJ, Molenaar PC. (2012) Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches. Psychological Methods. 17: 15-30
Liu S, Rovine MJ, Molenaar PCM. (2012) Using Fit Indexes to Select a Covariance Model for Longitudinal Data Structural Equation Modeling. 19: 633-650
Gates KM, Molenaar PC, Hillary FG, et al. (2010) Automatic search for fMRI connectivity mapping: an alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM. Neuroimage. 50: 1118-25
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