Ross Jacobucci
researcher (ORCID 0000-0001-7818-7424)
Facts
8 properties- Instance of
- human
- Occupation
- psychologist
- Employer
- University of Notre Dame (2017–present)[3]
- Field of work
- quantitative psychology[2]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Ross Jacobucci
🔖 Identifiers · 9
- ORCID iD
- 0000-0001-7818-7424
- OpenAlex ID
- A5060635481, A5136217895as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Academic Tree ID
- 491243
- Dimensions author ID
- 01350334123.75
- GitHub account
- Rjacobucci
- Google Knowledge Graph ID
- /g/11f0z5tq46
- Google Scholar author ID
- K7_cclwAAAAJ
- MR Author ID
- 1183836
- X (Twitter) username
- rossjacobucci (2015–present)
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 16
A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models,
A Practical Guide to Variable Selection in Structural Equation Modeling by Using Regularized Multiple-Indicators, Multiple-Causes Models,
A Short Note on Interpretation in the Dual Change Score Model,
Comparison of Frequentist and Bayesian Regularization in Structural Equation Modeling,
Evidence of Inflated Prediction Performance: A Commentary on Machine Learning and Suicide Research,
Exploratory Mediation Analysis of Dichotomous Outcomes via Regularization,
Exploratory Mediation Analysis via Regularization,
Machine Learning and Psychological Research: The Unexplored Effect of Measurement
+8 more
← Authored by 16
A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models,
A Practical Guide to Variable Selection in Structural Equation Modeling by Using Regularized Multiple-Indicators, Multiple-Causes Models,
A Short Note on Interpretation in the Dual Change Score Model,
Comparison of Frequentist and Bayesian Regularization in Structural Equation Modeling,
Evidence of Inflated Prediction Performance: A Commentary on Machine Learning and Suicide Research,
Exploratory Mediation Analysis of Dichotomous Outcomes via Regularization,
Exploratory Mediation Analysis via Regularization,
Machine Learning and Psychological Research: The Unexplored Effect of Measurement
+8 more
Affiliated with 3
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