Jacobucci, R. & Grimm, K. J. (under contract). Data mining in the social sciences. New York, NY: Guilford
Published Papers and Abstracts
Jacobucci, R., & Grimm, K. J. (accepted). Regularized Estimation of Multivariate Latent Change Score Models. In E. Ferrer, S. Boker, & K. J. Grimm (Eds.), Advances in Longitudinal Models for Multivariate Psychology: A Festschrift for Jack McArdle. Routledge, London. scripts paper
Jacobucci, R., & Grimm, K. J. (in press). Comparison of Frequentist and Bayesian Regularization in Structural Equation Modeling. Structural Equation Modeling. code_folder
Serang, S., Jacobucci, R., Brimhall, K. C., & Grimm, K. J. (in press). Exploratory mediation analysis via regularization. Structural Equation Modeling.
Jacobucci, R. (2017). regsem: Regularized Structural Equation Modeling. arXiv preprint arXiv:1703.08489. pdf
Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2017). A comparison of methods for uncovering sample heterogeneity: Structural equation model trees and finite mixture models. Structural Equation Modeling. code paper
Grimm, K. J., Jacobucci, R., & McArdle, J. J. (2017). Big data methods and psychological science. Psychological Science Agenda. link
Ammerman, B. A., Jacobucci, R., Kleiman, E. M., Uyeji, L., & McCloskey, M. S. (in press). The relationship between nonsuicidal self-injury age of onset and severity of self-harm. Suicide and Life Threatening Behavior. Rcode
Ammerman, B. A., Jacobucci, R.,, Kleiman, E. M., Muehlenkamp, J. J., & McCloskey, M. S. (2016). Development and validation of empirically derived frequency criteria for NSSI disorder using exploratory data mining. Psychological Assessment. Rcode paper
Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2016). Regularized structural equation modeling. Structural Equation Modeling, 23, 555-566. paper
Jacobucci, R., & McArdle, J. J. (2015). Abstract: Regularized structural equation modeling, 50, 736-736. Multivariate Behavioral Research. abstract – poster
Hayes, T., Usami, S., Jacobucci, R., & McArdle, J. J. (2015). Using classication and regression trees (CART) and random forests to analyze attrition in longitudinal data: Results from two simulation studies, 30, 9111-929. Psychology and Aging. paper
Skaar, N. R., Christ, T. J., & Jacobucci, R. (2014). Measuring adolescent prosocial and health risk behavior in schools: Initial development of a screening measure. School Mental Health, 6, 137-149. paper
Please email me if you would like a copy of a manuscript that doesn’t have a link.