Development of a Japanese version of the Reported and Intended Behaviour Scale (RIBS-J): reliability and validity.
Development of a Japanese version of the Reported and Intended Behaviour Scale (RIBS-J): reliability and validity.
复制标题
开发日本版的报告和预期行为量表 (RIBS-J):可靠性和有效性。
DOI:
10.1111/pcn.12151
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Ando S.
中科院分区:
文献类型:
--
作者:
Yamaguchi S;Koike S;Watanabe K;Ando S.
AimThe Reported and Intended Behaviour Scale (RIBS) was developed in the UK to measure mental health‐related behavior. The current study aimed to evaluate the applicability, and reliability of a Japanese version of the RIBS (RIBS‐J) in a Japanese context, and further examine the construct validity of the RIBS‐J.MethodsThe sample included 224 undergraduate and postgraduate students at a Japanese university. Cronbach's alpha was used to assess internal consistency. Pearson's correlation coefficient was used to examine the divergent validity between the RIBS‐J and the Mental Health Knowledge Schedule and the convergent validity between the second subscale of the RIBS‐J and Japanese version of the Social Distance Scale. Confirmatory factor analysis assessed the goodness of model fit of the RIBS‐J. We also examined test–retest reliability with another undergraduate sample (n= 29).ResultsMost items exhibited no floor/ceiling effect. High internal consistency (α = 0.83) was reported. The second subscale of the RIBS‐J, measuring intended behavior, correlated with the Mental Health Knowledge Schedule (r= 0.33,P< 0.001) and the Japanese version of the Social Distance Scale (r= −0.60,P< 0.001). In addition, confirmatory factor analysis found good model fit for the RIBS‐J (χ2= 41.001, d.f. = 19,P= 0.002, goodness‐of‐fit index = 0.956, adjusted goodness‐of‐fit index = 0.916, comparative fit index = 0.955, root mean square error of approximation = 0.072). Overall test–retest reliability (ρc) was 0.71.ConclusionThe RIBS‐J is an appropriate and psychometrically robust measure of behavior towards individuals with mental health problems in Japan. Further studies using a community sample could assess the generalizability of our findings.