Differential linguistic patterns across Rorschach, TAT, and SCT in individuals with PTSD

Background: While prior studies have examined linguistic markers of PTSD using everyday discourse or autobiographical narratives, comparative studies identifying specific markers across different projective personality tests remain limited.Objective: To investigate whether language features in projective personality tests differentiate individuals with PTSD from non-PTSD controls and assess their predictive value for symptom severity.Method: Verbatim transcripts from 283 participants (183 PTSD, 100 controls) across the Rorschach, TAT, and SCT were analysed using NLP across six categories: negative emotion, positive emotion, insight, causation, body-related, and self-focus. ANCOVAs with Bonferroni correction compared linguistic indicators between groups controlling for age and sex. Hierarchical regression analyses assessed predictive validity for symptom severity.Results: Following Bonferroni correction (α = .0028), four indicators showed significant group differences (ηp² = .036–.092): Rorschach Negative Emotion, SCT Positive Emotion, SCT Insight, and TAT Negative Emotion. In the PTSD group, TAT Negative Emotion was the strongest cross-symptom predictor of PTSD, depressive, and anxiety severity. Reduced Rorschach Body-related language and elevated SCT Insight were associated with greater symptom burden. TAT Positive Emotion negatively predicted symptom severity. In the non-PTSD group, SCT Self-Focus was the strongest predictor of PTSD-related severity, and SCT Positive Emotion negatively predicted anxiety. A sensitivity analysis revealed that SCT Positive Emotion and TAT Negative Emotion did not replicate under a more conservative Core Lexicon and should be treated as exploratory; only Rorschach Negative Emotion and SCT Insight were robust across lexicon configurations.Conclusions: Individuals meeting PTSD criteria showed reduced somatic language and elevated negative emotional expression, while self-referential processing and positive emotional expression emerged as salient markers in non-clinical individuals, though these differences should be interpreted cautiously given substantial demographic imbalances. These preliminary findings suggest that projective linguistic analysis may have potential as a supplementary approach in trauma-related research, pending external validation and replication in independent datasets.