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Kevin J. Grimm, PhD

Affiliations:		Psychology	Arizona State University, Tempe, AZ, United States
		Psychology	University of California, Davis, Davis, CA
	2001-2006	Psychology	University of Virginia, Charlottesville, VA

Website:

https://sites.google.com/site/longitudinalmethods/people/kevin-grimm

Google:

Mean distance: 21.2 (cluster 13)

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Parents

John Nesselroade	grad student
John McArdle	grad student	2001-2006	UVA
(A longitudinal dynamic analysis of the impacts of reading on mathematical ability in children and adolescents.)

Children

Katerina Marcoulides	grad student		Arizona State
Joel S. Steele	grad student	2007-2011	UC Davis
Laura Castro-Schilo	grad student	2013	UC Davis
Pega Davoudzadeh	grad student	2016	UC Davis

Collaborators

BETA: Related publications

Publications

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Grimm KJ, Jacobucci R, Stegmann G, et al. (2021) Explorations of Individual Change Processes and Their Determinants: A Novel Approach and Remaining Challenges. Multivariate Behavioral Research. 1-18
Grimm KJ, Helm J, Rodgers D, et al. (2021) Analyzing cross-lag effects: A comparison of different cross-lag modeling approaches. New Directions For Child and Adolescent Development. 2021: 11-33
O'Rourke HP, Fine KL, Grimm KJ, et al. (2021) The Importance of Time Metric Precision When Implementing Bivariate Latent Change Score Models. Multivariate Behavioral Research. 1-19
Davoudzadeh P, Grimm KJ, Widaman KF, et al. (2020) Estimation of Latent Variable Scores with Multiple Group Item Response Models: Implications for Integrative Data Analysis. Structural Equation Modeling : a Multidisciplinary Journal. 27: 931-941
Nelson NA, Jacobucci R, Grimm KJ, et al. (2020) The bidirectional relationship between physical health and memory. Psychology and Aging
Jacobucci R, Grimm KJ. (2020) Machine Learning and Psychological Research: The Unexplored Effect of Measurement. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 15: 809-816
Fine KL, Grimm KJ. (2020) Examination of Nonlinear and Functional Mixed-Effects Models with Nonparametrically Generated Data. Multivariate Behavioral Research. 1-18
Grimm KJ, Jacobucci R. (2020) Reliable Trees: Reliability Informed Recursive Partitioning for Psychological Data. Multivariate Behavioral Research. 1-13
Grimm KJ, Fine K, Stegmann G. (2020) Accounting for standard errors of measurement when modeling change International Journal of Behavioral Development. 16502542093561
Serang S, Jacobucci R, Stegmann G, et al. (2020) Mplus Trees: Structural Equation Model Trees Using Mplus Structural Equation Modeling. 1-11

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