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portfolio

publications

Regularized Structural Equation Modeling

Published in Structural Equation Modeling, 2016

Foundational paper introducing RegSEM methodology, extending regularization techniques to structural equation models.

Recommended citation: Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2016). "Regularized Structural Equation Modeling." Structural Equation Modeling, 23(4), 555-566.

Machine Learning and Psychological Research: The Unexplored Effect of Measurement

Published in Perspectives on Psychological Science, 2020

Demonstrates that measurement error prevents machine learning algorithms from accurately modeling nonlinear relationships in psychological research.

Recommended citation: Jacobucci, R., & Grimm, K. J. (2020). "Machine Learning and Psychological Research: The Unexplored Effect of Measurement." Perspectives on Psychological Science, 15(3), 809-816.

Regularized structural equation modeling with stability selection

Published in Psychological Methods, 2022

This paper presents methods for regularized structural equation modeling using stability selection.

Recommended citation: Li, X., & Jacobucci, R. (2022). "Regularized structural equation modeling with stability selection." Psychological Methods, 27, 497-518.

Machine learning for social and behavioral research

Published in Guilford Press, 2023

A comprehensive guide to machine learning techniques for social and behavioral research applications.

Recommended citation: Jacobucci, R., Grimm, K. J., & Zhang, Z. (2023). "Machine learning for social and behavioral research." New York, NY: Guilford.

Supervised Latent Dirichlet Allocation with Covariates

Published in Psychological Methods, 2023

This paper presents methods for supervised Latent Dirichlet Allocation incorporating covariates.

Recommended citation: Wilcox, K. T., et al. (2023). "Supervised Latent Dirichlet Allocation with Covariates." Psychological Methods.

Machine-learning approaches to structural equation modeling

Published in Handbook of Structural Equation Modeling, 2023

A handbook chapter covering machine learning approaches to structural equation modeling.

Recommended citation: Brandmaier, A. M., & Jacobucci, R. (2023). "Machine-learning approaches to structural equation modeling." Handbook of Structural Equation Modeling.

Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis

Published in JMIR Formative Research, 2024

Groundbreaking study introducing “screenomics” - digital phenotyping through smartphone screenshots to predict psychiatric hospitalization for suicidal crises.

Recommended citation: Jacobucci R., Ammerman B., & Ram N. (2024). "Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis." JMIR Formative Research, 8:e55999.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.