Cikkek nyilvánosan hozzáférhető megbízással - Ross C JacobucciTovábbi információ
Sehol sem hozzáférhető: 5
Recursive partitioning with nonlinear models of change
G Stegmann, R Jacobucci, S Serang, KJ Grimm
Multivariate behavioral research 53 (4), 559-570, 2018
Megbízások: US National Science Foundation
Empirically determined severity levels for binge-eating disorder outperform existing severity classification schemes
LN Forrest, RC Jacobucci, CM Grilo
Psychological Medicine 52 (4), 685-695, 2022
Megbízások: US National Institutes of Health
Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium
AK Littlefield, JT Cooke, CL Bagge, CR Glenn, EM Kleiman, R Jacobucci, ...
Clinical psychological science 9 (3), 467-481, 2021
Megbízások: US Department of Energy, US Department of Defense
Individually varying time metrics in latent change score models 1
KJ Grimm, R Jacobucci
Longitudinal multivariate psychology, 61-79, 2018
Megbízások: US National Science Foundation, US National Institutes of Health
Decision trees and ensemble methods in the behavioral sciences.
KJ Grimm, R Jacobucci, JJ McArdle
American Psychological Association, 2023
Megbízások: US National Institutes of Health
Valahol hozzáférhető: 26
Regularized structural equation modeling
R Jacobucci, KJ Grimm, JJ McArdle
Structural equation modeling: a multidisciplinary journal 23 (4), 555-566, 2016
Megbízások: US National Institutes of Health
The relationship between nonsuicidal self‐injury age of onset and severity of self‐harm
BA Ammerman, R Jacobucci, EM Kleiman, LL Uyeji, MS McCloskey
Suicide and Life‐Threatening Behavior 48 (1), 31-37, 2018
Megbízások: US National Institutes of Health
Using Classification and Regression Trees (CART) and random forests to analyze attrition: Results from two simulations.
T Hayes, S Usami, R Jacobucci, JJ McArdle
Psychology and aging 30 (4), 911, 2015
Megbízások: US National Institutes of Health
A practical guide to variable selection in structural equation modeling by using regularized multiple-indicators, multiple-causes models
R Jacobucci, AM Brandmaier, RA Kievit
Advances in methods and practices in psychological science 2 (1), 55-76, 2019
Megbízások: US National Institutes of Health, UK Medical Research Council, Wellcome …
Exploratory mediation analysis via regularization
S Serang, R Jacobucci, KC Brimhall, KJ Grimm
Structural equation modeling: a multidisciplinary journal 24 (5), 733-744, 2017
Megbízások: US National Science Foundation, US National Institutes of Health
Identifying the relative importance of non-suicidal self-injury features in classifying suicidal ideation, plans, and behavior using exploratory data mining
TA Burke, R Jacobucci, BA Ammerman, M Piccirillo, MS McCloskey, ...
Psychiatry research 262, 175-183, 2018
Megbízások: US National Science Foundation, US National Institutes of Health
Development and validation of empirically derived frequency criteria for NSSI disorder using exploratory data mining.
BA Ammerman, R Jacobucci, EM Kleiman, JJ Muehlenkamp, ...
Psychological Assessment 29 (2), 221, 2017
Megbízások: US National Institutes of Health
Nonlinear mixed-effects modeling programs in R
G Stegmann, R Jacobucci, JR Harring, KJ Grimm
Structural Equation Modeling: A Multidisciplinary Journal 25 (1), 160-165, 2018
Megbízások: US National Science Foundation
Comparison of frequentist and Bayesian regularization in structural equation modeling
R Jacobucci, KJ Grimm
Structural Equation Modeling: A Multidisciplinary Journal 25 (4), 639-649, 2018
Megbízások: US National Institutes of Health
A comparison of methods for uncovering sample heterogeneity: Structural equation model trees and finite mixture models
R Jacobucci, KJ Grimm, JJ McArdle
Structural equation modeling: a multidisciplinary journal 24 (2), 270-282, 2017
Megbízások: US National Science Foundation, US National Institutes of Health
Using machine learning to classify suicide attempt history among youth in medical care settings
TA Burke, R Jacobucci, BA Ammerman, LB Alloy, G Diamond
Journal of affective disorders 268, 206-214, 2020
Megbízások: US National Institutes of Health
Using exploratory data mining to identify important correlates of nonsuicidal self-injury frequency.
BA Ammerman, R Jacobucci, MS McCloskey
Psychology of Violence 8 (4), 515, 2018
Megbízások: US National Institutes of Health
The bidirectional relationship between physical health and memory.
NA Nelson, R Jacobucci, KJ Grimm, EM Zelinski
Psychology and Aging 35 (8), 1140, 2020
Megbízások: US National Science Foundation, US National Institutes of Health
Examining the factor structure of the Big Five Inventory-2 personality domains with an adolescent sample.
TM Ober, Y Cheng, R Jacobucci, BM Whitney
Psychological Assessment 33 (1), 14, 2021
Megbízások: US National Science Foundation
Evaluating the item-level factor structure of anhedonia
JAC Case, H Sullivan-Toole, M Mattoni, R Jacobucci, EE Forbes, ...
Journal of affective disorders 299, 215-222, 2022
Megbízások: US National Institutes of Health
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