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Predicting suicide using the Rorschach Inkblot Test.

J M Kendra

    Journal of Personality Assessment
    |October 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    This study developed predictive formulas using Rorschach test data to differentiate between psychiatric controls, suicide attempts, and suicide effectors. The Rorschach test showed 52% accuracy in predicting suicide risk groups.

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    Area of Science:

    • Psychology
    • Psychiatry
    • Forensic Psychology

    Background:

    • Suicide risk assessment is crucial in psychiatric and forensic settings.
    • The Rorschach test is a widely used projective tool, but its utility in predicting specific behavioral outcomes like suicide requires further validation.
    • Existing prediction scales often suffer from overlap, necessitating more refined instruments.

    Purpose of the Study:

    • To develop and validate predictive formulas derived from Rorschach protocols for classifying individuals into psychiatric control, suicide attempt, and suicide effector groups.
    • To assess the accuracy and reliability of these Rorschach-based prediction formulas.

    Main Methods:

    • Three hundred seventy-five Rorschach protocols were scored and categorized into three groups: psychiatric controls, suicide attempts, and suicide effectors.

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  • Multiple discriminant analysis, a stepwise procedure, was employed to construct predictive formulas.
  • Formulas were tested on a sample of 100 subjects per group and cross-validated on a separate sample of 25 subjects per group.

    • Main Results:

    • A trio of discriminant formulas, each with six weighted variables and a constant, was developed.
    • Cross-validation achieved 52% overall classification accuracy, significantly above the chance level of 33%.
    • Internal reliability tests indicated high statistical significance (p < .001).

    Conclusions:

    • Rorschach test data can be utilized to construct statistically significant predictive formulas for differentiating suicide-related groups.
    • The developed formulas offer a potential tool for suicide risk assessment, though overlap with other prediction scales remains a consideration.
    • Further research is warranted to refine these predictors and explore their clinical applicability in diverse populations.