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KMID : 0614420140420010091
Mental Health & Social Work
2014 Volume.42 No. 1 p.91 ~ p.113
Factor Structure of Korean Version of Attitudes Toward Suicide (ATTS-20)
Park Jong-Ik

Kim Young-Ju
Abstract
Public attitudes toward suicide may affect the behavior pattern of high-risk group and contribute to prevalence of suicide within a population. This study is to translate an abbreviated version of the questionnaire on Attitude Toward Suicide(ATTS) into Korean version and construct a feasible instrument to measure attitudes toward suicide in a large-scale surveys in the general population. This scale is not only developed to cover multidimensional aspects of attitude toward suicide but to describe its change and association between attitudes and suicidal behavior. The original questionnaire went through a translation and back-translation between English and Korean to produce an original Korean version of the question-naire. An exploratory factor analysis was conducted to examine whether the data of the present study would replicate the eight-factor model of the original ATTS-20 because attitude toward suicide may vary across cultures. Data were acquired from a sample of 320 Koreans, aged 19 to 75 years old, who were randomly selected based on the 2010 census. The initial analysis through the use of parallel analysis identified four factors and then exploratory factor analysis was performed for extraction of factor structures of the ATTS-20. Results of principal axis factoring with oblique rotation showed that the ATTS-20 was a measure of attitudes towards suicide with a four-factor structure: ``permissiveness and nonintervention``, ``preventability and incomprehensibility``, ``universality``, ``unpredic-tability``. The internal consistency of the ATTS-20 ranged from 0.38 to 0.66. Findings of this study demonstrated that attitudes toward suicide assessed by ATTS-20 have four factors and possible to used in both community and clinical settings as well as future researches.
KEYWORD
ATTS, suicide, attitudes toward suicide, factor analysis
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