Ross Jacobucci
Affiliations: | 2013- | Psychology | University of Southern California, Los Angeles, CA, United States |
Google:
"Ross Jacobucci"Mean distance: 21.21 | S | N | B | C | P |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Wilcox KT, Jacobucci R, Zhang Z, et al. (2023) Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. Psychological Methods |
| 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 |
| 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 |
| Grimm KJ, Jacobucci R. (2020) Reliable Trees: Reliability Informed Recursive Partitioning for Psychological Data. Multivariate Behavioral Research. 1-13 |
| Hong M, Jacobucci R, Lubke G. (2020) Deductive data mining. Psychological Methods |
| Serang S, Jacobucci R, Stegmann G, et al. (2020) Mplus Trees: Structural Equation Model Trees Using Mplus Structural Equation Modeling. 1-11 |
| Liang X, Jacobucci R. (2020) Regularized Structural Equation Modeling to Detect Measurement Bias: Evaluation of Lasso, Adaptive Lasso, and Elastic Net Structural Equation Modeling. 27: 722-734 |
| Wilcox KT, Jacobucci R, Zhang Z. (2019) Bayesian Supervised Topic Modeling with Covariates. Multivariate Behavioral Research. 1 |
| Jacobucci R, Brandmaier AM, Kievit RA. (2019) A Practical Guide to Variable Selection in Structural Equation Models with Regularized MIMIC Models. Advances in Methods and Practices in Psychological Science. 2: 55-76 |