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Classification Trees Identify Shared and Distinct Correlates of Nonsuicidal Self‐injury and Suicidal Ideation Across Gender Identities in Emerging Adults by Gemma T. Wallace; Bradley T. Conner; Audrey M. Shillington is a Psychology article available to read on EtoBox.

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College students have an elevated risk for self‐injurious thoughts and behaviours (SITBs), and there are robust differences in prevalence rates for SITBs across gender identities. Although numerous constructs have been implicated as risk factors, researchers have not significantly improved at predicting SITBs, possibly owing to constraints of confirmatory analyses. Classification trees are exploratory, person‐centred analyses that enable joint examination of numerous correlates and their interactions. Thus, classification trees may discern previously unstudied risk factors and identify distinct subpopulations with elevated risk for SITBs. We tested classification trees that evaluated 298 potential correlates of nonsuicidal self‐injury and suicidal ideation across self‐identified women and men. Data came from 5,131 college students who completed the National College Health Assessment, which assesses a wide range of health‐related constructs. Models produced parsimonious decision trees that accounted for a substantial amount of outcome variability (38.3–51.5%). Psychopathology, poorer psychological well‐being, and other SITBs emerged as important correlates for all participants. Trau

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Author

Gemma T. Wallace; Bradley T. Conner; Audrey M. Shillington

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1063-3995)

Published

2020

Language

EN

Field

Psychology (Social Sciences)