Year |
Citation |
Score |
2023 |
Wilcox KT, Jacobucci R, Zhang Z, Ammerman BA. Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. Psychological Methods. PMID 36603124 DOI: 10.1037/met0000541 |
0.339 |
|
2021 |
Grimm KJ, Jacobucci R, Stegmann G, Serang S. Explorations of Individual Change Processes and Their Determinants: A Novel Approach and Remaining Challenges. Multivariate Behavioral Research. 1-18. PMID 34236928 DOI: 10.1080/00273171.2021.1941728 |
0.75 |
|
2020 |
Nelson NA, Jacobucci R, Grimm KJ, Zelinski EM. The bidirectional relationship between physical health and memory. Psychology and Aging. PMID 33074692 DOI: 10.1037/pag0000579 |
0.472 |
|
2020 |
Jacobucci R, Grimm KJ. 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. PMID 32348703 DOI: 10.1177/1745691620902467 |
0.544 |
|
2020 |
Grimm KJ, Jacobucci R. Reliable Trees: Reliability Informed Recursive Partitioning for Psychological Data. Multivariate Behavioral Research. 1-13. PMID 32298157 DOI: 10.1080/00273171.2020.1751028 |
0.564 |
|
2020 |
Hong M, Jacobucci R, Lubke G. Deductive data mining. Psychological Methods. PMID 31916800 DOI: 10.1037/Met0000252 |
0.382 |
|
2020 |
Serang S, Jacobucci R, Stegmann G, Brandmaier AM, Culianos D, Grimm KJ. Mplus Trees: Structural Equation Model Trees Using Mplus Structural Equation Modeling. 1-11. DOI: 10.1080/10705511.2020.1726179 |
0.73 |
|
2020 |
Liang X, Jacobucci R. Regularized Structural Equation Modeling to Detect Measurement Bias: Evaluation of Lasso, Adaptive Lasso, and Elastic Net Structural Equation Modeling. 27: 722-734. DOI: 10.1080/10705511.2019.1693273 |
0.355 |
|
2019 |
Wilcox KT, Jacobucci R, Zhang Z. Bayesian Supervised Topic Modeling with Covariates. Multivariate Behavioral Research. 1. PMID 31790609 DOI: 10.1080/00273171.2019.1695568 |
0.398 |
|
2019 |
Jacobucci R, Brandmaier AM, Kievit RA. 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. PMID 31463424 DOI: 10.1177/2515245919826527 |
0.383 |
|
2019 |
Ammmerman BA, Hong M, Sorgi K, Park Y, Jacobucci R, McCloskey MS. An examination of individual forms of nonsuicidal self-injury. Psychiatry Research. 278: 268-274. PMID 31238297 DOI: 10.1016/J.Psychres.2019.06.029 |
0.314 |
|
2019 |
Serang S, Jacobucci R. Exploratory Mediation Analysis of Dichotomous Outcomes via Regularization. Multivariate Behavioral Research. 1-18. PMID 31066588 DOI: 10.1080/00273171.2019.1608145 |
0.687 |
|
2019 |
Jacobucci R, Serang S, Grimm KJ. A Short Note on Interpretation in the Dual Change Score Model Structural Equation Modeling: a Multidisciplinary Journal. 26: 924-930. DOI: 10.1080/10705511.2019.1619457 |
0.712 |
|
2018 |
Jacobucci R, Grimm KJ. Comparison of frequentist and Bayesian regularization in structural equation modeling. Structural Equation Modeling : a Multidisciplinary Journal. 25: 639-649. PMID 30906179 DOI: 10.1080/10705511.2017.1410822 |
0.624 |
|
2018 |
Ammerman BA, Serang S, Jacobucci R, Burke TA, Alloy LB, McCloskey MS. Exploratory analysis of mediators of the relationship between childhood maltreatment and suicidal behavior. Journal of Adolescence. 69: 103-112. PMID 30286328 DOI: 10.1016/J.Adolescence.2018.09.004 |
0.645 |
|
2018 |
Hong MR, Jacobucci R. Review of Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Grimm, Ram & Estabrook, 2017). Psychometrika. PMID 30159658 DOI: 10.1007/S11336-018-9634-9 |
0.446 |
|
2018 |
Stegmann G, Jacobucci R, Serang S, Grimm KJ. Recursive Partitioning with Nonlinear Models of Change. Multivariate Behavioral Research. 1-12. PMID 29683722 DOI: 10.1080/00273171.2018.1461602 |
0.73 |
|
2018 |
Usami S, Jacobucci R, Hayes T. The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories Computational Statistics. 34: 1-22. DOI: 10.1007/S00180-018-0815-X |
0.642 |
|
2017 |
Serang S, Jacobucci R, Brimhall KC, Grimm KJ. Exploratory Mediation Analysis via Regularization. Structural Equation Modeling : a Multidisciplinary Journal. 24: 733-744. PMID 29225454 DOI: 10.1080/10705511.2017.1311775 |
0.718 |
|
2017 |
Jacobucci R, Grimm KJ, McArdle JJ. A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models. Structural Equation Modeling : a Multidisciplinary Journal. 24: 270-282. PMID 29225453 DOI: 10.1080/10705511.2016.1250637 |
0.692 |
|
2017 |
Stegmann G, Jacobucci R, Harring JR, Grimm KJ. Nonlinear Mixed-Effects Modeling Programs in R Structural Equation Modeling: a Multidisciplinary Journal. 25: 160-165. DOI: 10.1080/10705511.2017.1396187 |
0.585 |
|
2016 |
Jacobucci R, Grimm KJ, McArdle JJ. Regularized Structural Equation Modeling. Structural Equation Modeling : a Multidisciplinary Journal. 23: 555-566. PMID 27398019 DOI: 10.1080/10705511.2016.1154793 |
0.696 |
|
2016 |
Ammerman BA, Jacobucci R, Kleiman EM, Muehlenkamp JJ, McCloskey MS. Development and Validation of Empirically Derived Frequency Criteria for NSSI Disorder Using Exploratory Data Mining. Psychological Assessment. PMID 27176128 DOI: 10.1037/Pas0000334 |
0.316 |
|
2015 |
Jacobucci R, McArdle JJ. Regularized Structural Equation Modeling. Multivariate Behavioral Research. 50: 736. PMID 26717139 DOI: 10.1080/00273171.2015.1121125 |
0.505 |
|
2015 |
Hayes T, Usami S, Jacobucci R, McArdle JJ. Using Classification and Regression Trees (CART) and Random Forests to Analyze Attrition: Results From Two Simulations. Psychology and Aging. PMID 26389526 DOI: 10.1037/Pag0000046 |
0.654 |
|
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