Research Appraisalobservational

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

European journal of psychotraumatologyAhn, Hongsin, Hong, Ji Sun, Lee, So Hee et al.1 Dec 2026DOI

Clinical Snapshot

40CEBM
Evidence: Weakobservational

PICO Framework

P — PopulationAdults with DSM-diagnosed PTSD (n=183) and non-PTSD controls (n=100) recruited at a South Korean psychiatric centre
I — InterventionExposure: PTSD diagnosis confirmed by clinical criteria; linguistic analysis of verbatim transcripts from three projective personality tests (Rorschach, Thematic Apperception Test [TAT], Sentence Completion Test [SCT]) using Natural Language Processing (NLP) across six linguistic categories
C — ComparatorNon-PTSD controls without trauma-related diagnoses
O — OutcomesPrimary: Group differences in six NLP-derived linguistic indicators (negative emotion, positive emotion, insight, causation, body-related, self-focus) across three projective tests; Secondary: Predictive validity of linguistic indicators for PTSD, depressive, and anxiety symptom severity via hierarchical regression

Bottom Line

This cross-sectional study from a South Korean psychiatric centre examined NLP-derived linguistic patterns in verbatim responses to three projective tests (Rorschach, TAT, SCT) in 183 adults with PTSD and 100 controls. After rigorous Bonferroni correction, four linguistic indicators differentiated groups, with small-to-medium effect sizes (ηp² = .036–.092). However, a pre-specified sensitivity analysis revealed that two of these four findings were lexicon-dependent and non-replicable, leaving only Rorschach Negative Emotion and SCT Insight as robust signals. Critical methodological limitations undermine confidence in the findings: confounder adjustment was restricted to age and sex; the NLP lexicon is unvalidated for Korean-language clinical populations; confidence intervals are absent; and the single-centre design limits generalisability. The cross-sectional design precludes any causal inference. The authors appropriately characterise findings as preliminary and exploratory, explicitly calling for external validation. For Australian clinicians, these results have no immediate practice implications. Projective linguistic analysis remains a research-stage methodology. Clinicians assessing PTSD should continue to rely on validated structured instruments endorsed by Phoenix Australia and RACGP guidelines. This paper contributes a novel methodological perspective to trauma research but requires substantial replication before informing clinical assessment practice.

Evidence: Weak

Key Findings

  • P Value: Significant at Bonferroni-corrected α = .0028; specific p-values not reported in the abstract

  • Effect Size: Partial eta-squared (ηp²) = .036 to .092 for the four significant indicators, representing small-to-medium effect sizes

  • Primary Outcome: Four of 18 tested linguistic indicators showed statistically significant group differences after Bonferroni correction (α = .0028): Rorschach Negative Emotion (elevated in PTSD), SCT Positive Emotion (reduced in PTSD), SCT Insight (elevated in PTSD), and TAT Negative Emotion (elevated in PTSD). Sensitivity analysis confirmed only Rorschach Negative Emotion and SCT Insight as robust across lexicon configurations.

  • Nnt Or Sensitivity: Not applicable (observational/cross-sectional study); no diagnostic accuracy metrics (sensitivity, specificity, AUC) reported for the linguistic indicators as screening tools

  • Confidence Interval: Not reported in the abstract

Clinical Application

Projective tests (Rorschach, TAT, SCT) are established but resource-intensive assessment tools requiring trained clinicians for administration and scoring. NLP-based linguistic analysis of verbatim transcripts adds a further layer of technical infrastructure not routinely available in clinical settings. The approach is currently a research methodology rather than a clinical tool. Feasibility in routine practice is low pending development of validated, clinician-accessible NLP platforms. Projective personality testing is used selectively in Australian forensic, trauma, and specialist psychiatric settings but is not a standard component of PTSD assessment per RACGP or Phoenix Australia guidelines, which emphasise validated self-report and structured clinical interview tools (e.g., CAPS-5, PCL-5). The NLP lexicons used in this study are not validated for Australian English or culturally and linguistically diverse Australian populations. The TGA does not regulate psychological assessment tools, and PBS does not fund projective testing. Australian trauma clinicians should note that Phoenix Australia's 2020 Australian Guidelines for the Prevention and Treatment of Acute Stress Disorder, Acute Stress Reaction, and PTSD do not endorse projective tests as primary diagnostic instruments. This study's findings have no immediate implications for Australian clinical practice and should be regarded as preliminary cross-cultural research requiring independent replication. Adults with confirmed PTSD diagnoses undergoing comprehensive psychological assessment in specialist psychiatric or trauma-focused settings where projective testing is part of routine practice

Abstract

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. Language reveals trauma in distinct ways: People with post-traumatic stress show different language patterns than those without trauma-related disorders, and these patterns vary depending on the type of psychological test used.Projective tests offer supplementary linguistic insights: Responses to structurally distinct projective tests elicit different patterns of emotional, cognitive, and somatic language, providing supplementary perspectives on trauma-related psychological functioning that may not be fully captured by a single assessment paradigm.Language analysis supports clinical insight: Systematic analysis of word use helps identify subtle markers of symptom severity, suggesting potential utility as a supplementary research approach for understanding and assessing trauma-related psychological functioning.

References

  1. 1.Ahn, H., Hong, J. S., Lee, S. H., & Han, D. H. (2026). Differential linguistic patterns across Rorschach, TAT, and SCT in individuals with PTSD. European Journal of Psychotraumatology. https://doi.org/10.1080/20008066.2026.2700825
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