Kevin J. Grimm, PhD

Psychology Arizona State University, Tempe, AZ, United States 
 Psychology University of California, Davis, Davis, CA 
 2001-2006 Psychology University of Virginia, Charlottesville, VA 
"Kevin Grimm"
Mean distance: 21.2 (cluster 13)


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John McArdle grad student 2001-2006 UVA
 (A longitudinal dynamic analysis of the impacts of reading on mathematical ability in children and adolescents.)
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Jacobucci R, Grimm KJ. (2018) Comparison of frequentist and Bayesian regularization in structural equation modeling. Structural Equation Modeling : a Multidisciplinary Journal. 25: 639-649
Grimm KJ, Stegmann G. (2018) Modeling change trajectories with count and zero-inflated outcomes: Challenges and recommendations. Addictive Behaviors
Grimm KJ, Ram N. (2018) Latent Growth and Dynamic Structural Equation Models. Annual Review of Clinical Psychology. 14: 55-89
Stegmann G, Jacobucci R, Serang S, et al. (2018) Recursive Partitioning with Nonlinear Models of Change. Multivariate Behavioral Research. 1-12
Hoyt LT, Deardorff J, Marceau K, et al. (2018) Girls' Sleep Trajectories Across the Pubertal Transition: Emerging Racial/Ethnic Differences. The Journal of Adolescent Health : Official Publication of the Society For Adolescent Medicine
Marcoulides KM, Grimm KJ. (2017) Data Integration Approaches to Longitudinal Growth Modeling. Educational and Psychological Measurement. 77: 971-989
Serang S, Jacobucci R, Brimhall KC, et al. (2017) Exploratory Mediation Analysis via Regularization. Structural Equation Modeling : a Multidisciplinary Journal. 24: 733-744
Jacobucci R, Grimm KJ, McArdle JJ. (2017) A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models. Structural Equation Modeling : a Multidisciplinary Journal. 24: 270-282
Grimm KJ, Davoudzadeh P, Ram N. (2017) IV. DEVELOPMENTS IN THE ANALYSIS OF LONGITUDINAL DATA. Monographs of the Society For Research in Child Development. 82: 46-66
Infurna FJ, Grimm KJ. (2017) The Use of Growth Mixture Modeling for Studying Resilience to Major Life Stressors in Adulthood and Old Age: Lessons for Class Size and Identification and Model Selection. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
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