The Chinese Version of the Barratt Impulsiveness Scale-11 Reassessment of its Psychometric Propertie

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  Background Numerous studies have assessed the psychometric properties of BIS-11.But, psychometric research on the structure of the BIS-11 has been scant in different adolescent populations.This study aimed to assess psychometric characteristics of Chinese version of BIS-11 in normal adolescents, adolescents with mental disorders,delinquent juvenile and focused on testing the factor structures of Chinese version of BIS-11 based on the wellknow theories in order to find appropriate structure representations of this instrument for different samples of adolescents.Methods The internal consistency reliability of the BIS version 11 (BIS-1 1) was assessed by calculating the Cronbachs a coefficient in three separate adolescent samples:normal adolescents(n =406) ,adolescents with mental disorders (n =258),delinquent juvenile (n =331).Confirmatory factor analysis was examined in the total sample and each adolescent sample.Omegas(ω) and explained common variance(ECV) of the general factor in bifactor model were computed to measure homogeneity reliability and dimensionality of the scale.Results Cronbachs a coefficients of the total BIS-11 and its subscale scores for three separate adolescent sampleswere all good (a =0.67-0.89).Confirmatory factor analysis showedacceptable goodness of fit indices for the three correlated first-order factor model, the six correlated first-order factor model and two bifactor models, for all adolescent samples.Conclusion This study suggests that the Chinese version of the BIS-11 is a reliable instrument for assessing different adolescent populations impulsivity.Higher order models failed to provide appropriate interpretation of this instrument for all the adolescent samples.Bifactor model, especially for bifactor model with one general factor model and three group factors, provides an alternative multidimensional structural representation to explain the dimensionalities of impulsivity, especially for bifactor model with one general factor and three group factors.
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