: Childhood trauma and dissociative experiences are recognized as significant factors in the development of severe personality pathology. However, limited research has systematically compared these phenomena across different personality spectra within non-clinical populations. The present study aimed to compare dissociative experiences and childhood trauma among individuals exhibiting prominent borderline, paranoid, and schizotypal personality traits within a non-clinical sample. Method: A total of 263 participants were selected from a larger screened sample of 1084 university students and categorized into four groups (Borderline: n = 71, Paranoid: n = 64, Schizotypal: n = 68, Normative Comparison: n = 60) based on their dominant personality trait profile or assignment to a low-trait normative comparison group. Participants completed the Dissociative Experiences Scale (DES) and the Childhood Trauma Questionnaire (CTQ). Multivariate analyses of variance (MANCOVA) were conducted to examine group differences. Results: The findings revealed a significant hierarchical pattern across the three personality spectra. Individuals with prominent borderline traits reported the highest levels of both dissociative experiences and childhood trauma, followed by those with schizotypal traits, and then those with paranoid traits. All three high-trait groups scored significantly higher than the normative comparison group on all measures. Conclusion: These findings are consistent with the hypothesis that there are qualitative differences in the nature of core personality impairment, predominant trauma patterns, and the potential role of defense mechanisms across these three personality spectra. These findings suggest the potential importance of spectrum-based approaches in understanding the developmental pathways of severe personality pathology and may have implications for early identification and targeted, trauma-informed interventions. However, due to the cross-sectional design, these interpretations remain speculative and require longitudinal validation.