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Measuring the suicidal mind: The 'open source' Suicidality Scale, for adolescents and adults
Keith M Harris1,2, Lu Wang3, Guanglun M Mu4
1School of Psychology, Charles Sturt University, Bathurst, New South Wales, Australia.
Plos One
|February 23, 2023
Summary
A new, publicly available Suicidality Scale (SS) was developed for accurate suicide risk assessment in diverse populations aged 13+. This validated instrument offers strong psychometric properties for clinical and research use.
Area of Science:
- Psychiatry and Psychology
- Psychometric Instrument Development
- Public Health
Background:
- Accurate suicide risk assessment is critical, especially in emergency settings, but existing tools often lack necessary psychometric rigor.
- There is a need for a reliable, valid, and accessible suicide risk assessment tool for diverse populations.
- Current assessment instruments may not meet the demands for accuracy and utility in clinical practice.
Approach:
- Developed a publicly available Suicidality Scale (SS) using a sustainable, community-informed approach.
- Conducted an international item pool survey with 5,115 participants (aged 13-82) and subsequent validation surveys (Ns = 814, 626).
- Employed rigorous statistical analyses including item response theory, cluster, factor, and bifactor analyses to refine the scale.
Key Points:
- The final eight-item Suicidality Scale (SS) demonstrated strong psychometric properties (e.g., high loadings, discrimination, test-retest reliability r = .87, internal consistency ω = .96).
- The SS exhibited measurement invariance across various demographic and clinical subgroups, ensuring broad applicability.
- The scale showed superior psychometric performance and stronger associations with depressive symptoms compared to existing suicide measures.
Conclusions:
- The 'open source' Suicidality Scale (SS) offers a significant advancement in accurate suicide risk assessment for individuals aged 13 and older.
- The study exemplifies sustainable scale development, integrating community input and robust psychometric validation for diverse samples.
- The SS provides a free-to-use, highly reliable, and valid instrument for clinicians, researchers, and public health initiatives.
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