Psychiatry · Public Health · 3 h ago
Hungarian Versions of Suicide Literacy and Stigma Scales Show Sound Psychometric Properties
A cross-sectional online survey of 954 Hungarian participants assessed translated short forms of two suicide literacy and stigma scales. Both instruments showed acceptable or good psychometric properties in this convenience sample, though nationally representative validation may be needed for population-level norms.
- Survey included 954 self-selected Hungarian participants.
- SOSS-SF supported a three-factor structure.
- LOSS-SF showed acceptable unidimensional model fit.
- Representative-sample validation may be needed for population norms.
Researchers evaluated Hungarian versions of the Literacy of Suicide Scale–Short Form (LOSS-SF) and the Stigma of Suicide Scale–Short Form (SOSS-SF), for which validated Hungarian instruments had not been available. The descriptive, correlational, cross-sectional study used an anonymous online survey completed by 954 self-selected participants, whose mean age was 38.0 years (SD 14.8).
Confirmatory factor analysis supported a three-factor structure for the SOSS-SF, with measurement invariance across gender, age and history of suicidal ideation. The LOSS-SF had acceptable fit as a unidimensional two-parameter logistic item response theory measure, with appropriate item discrimination and difficulty and good infit–outfit statistics. The authors concluded that both scales showed sound psychometric properties and construct validity in this sample.
The Hungarian versions may support research assessment of suicide literacy and stigma. However, participants were recruited through online convenience sampling, so the findings may not generalize to the Hungarian population. The authors note that further validation in nationally representative samples may be needed if population-level norms are intended to inform policy.
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BMC Public Health: Psychometric properties of the Literacy of Suicide Scale (LOSS-SF) and the Stigma of Suicide Scale (SOSS-SF) in a Hungarian sample ↗This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.