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Paper Title

Trajectories and predictors of sexually aggressive behaviors during emerging adulthood

Keywords

  • Sexual Aggression
  • Longitudinal Design
  • Latent Class Growth Analysis
  • College Students
  • Sexual Violence
  • Aggressive Behavior
  • Sexually Aggressive Behaviors
  • Emerging Adulthood
  • College Males
  • Sexual Aggression Trajectories
  • Risk Factors
  • Hostile Masculinity
  • Peer Norms
  • Alcohol Misuse
  • Sexual Partners
  • SA Perpetration
  • Prevention Programming
  • High-Risk Behaviors
  • Confluence Model
  • Self-Assessment
  • Behavioral Trajectories
  • Sexually Aggressive
  • Sexual Assault
  • Sexual Coercion
  • Non-Consensual Acts
  • Rape
  • BDSM
  • Consent Violation
  • Psychological Impact
  • Perpetrator Behavior
  • Trauma
  • Power Dynamics
  • Abuse in Relationships
  • Victim Blaming
  • Rape Culture
  • Sexual Exploitation
  • Emotional Abuse
  • Intimate Partner Violence
  • Victim Empowerment
  • Victim Advocacy
  • Trauma Recovery
  • Coercion in Relationships
  • Non-Consensual BDSM
  • Psychological Trauma
  • Sexual Misconduct
  • Sexual Violence Prevention
  • Consent Education
  • Safe Words
  • Rape Recovery

Article Type

Research Article

Research Impact Tools

Issue

Volume : 3 | Issue : 3 | Page No : 247–259

Published On

July, 2013

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Abstract

Objective: To assess longitudinal trajectories of college males’ sexually aggressive behaviors and determine time-varying individual- and peer-level risk factors that differentiate men who follow these different paths. Method: Our analytic sample consisted of 795 men who participated in a longitudinal study on high-risk behaviors among college students. The sample was surveyed at the end of each of their 4 years at university on a variety of measures, including sexual aggression (SA) and its hypothesized risk factors (hostile masculinity, number of sexual partners, alcohol misuse, and peer norms). Results: Using latent growth mixture modeling, we found four distinct SA trajectories: (a) consistently high, (b) decreasing, (c) increasing, and (d) consistently low. Multinomial logistic regression revealed that hostile masculinity and peer norms positively predicted trajectory membership at times when each trajectory reflected a high level of SA. Conclusions: Our study adds to the knowledge base by elucidating the different ways sexually aggressive behaviors change during emerging adulthood and how confluence-model-derived factors predict the different trajectories. The finding that changes over time in these risk factors correspond with SA perpetration risk informs prevention programming by illuminating the importance of continual focus on these risk factors throughout the college years, perhaps through annual self-assessments.

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