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   Psychometric Properties of Adolescent Resilience Scale in Gifted Male and Female Iranian Students  
   
نویسنده Khodaei Ali ,Mousavi Shokoufeh
منبع International Journal Of School Health - 2021 - دوره : 8 - شماره : 4 - صفحه:257 -266
چکیده    Background: resilience is the process of one’s relatively positive adaptation to traumatic experiences. this study aimed to measure the psychometric parameters of the persian version of the adolescent resilience scale (ars) among a group of gifted iranian students. methods: in this cross-sectional study, 347 gifted adolescents (148 boys and 199 girls) in the academic year 2019-2020 filled out ars. confirmatory factor analysis (cfa) and multi-group confirmatory factor analysis (mgcfa) were employed to examine the factorial validity and the gender-based equivalence of the factorial structure of this scale, respectively. amos v24.0 was used to analyze the data. results: the results of cfa in amos showed that after establishing a covariance between error residuals for some pairs of items, the triple-factor version of ars (consisting of novelty seeking, emotional regulation, and positive future orientation) was well fitted with the data in both groups of boys and girls (rmsea=0.060). mgcfa results also revealed the inter-group invariance of the factorial structure, factor loading, error values, and inter-factorial variance and covariance of ars among the gifted male and female students (p<0.001). the internal consistency coefficient was obtained to be 0.82 for novelty seeking, 0.73 for emotional regulation, and 0.70 for positive future orientation. conclusion: the study findings provided new empirical evidence on the factorial structure and measurement invariance of ars. the persian version of ars was a valid and reliable tool to measure psychological resilience.
کلیدواژه Factor Analysis ,Statistical ,Resilience ,Gender Characteristics ,Students
آدرس Payame Noor University, Department Of Psychology, Iran, Payame Noor University, Department Of Psychology, Iran
پست الکترونیکی mousaviskf@gmail.com
 
     
   
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