خصوصیات روان‌‌سنجی مقیاس تجربه قلدری- قربانی سایبری در دانش-آموزان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار گروه روان‌شناسی، دانشگاه محقق اردبیلی

2 کارشناس ارشد روان‌شناسی، دانشگاه محقق اردبیلی

10.22098/jsp.2019.795

چکیده

هدف پژوهش حاضر، بررسی خصوصیات روان­سنجی مقیاس تجربه قلدری- قربانی شدن سایبری در دانش­آموزان بود. جامعه آماری این پژوهش را کلیه دانش­آموزان دوره دوم مقطع متوسطه شهرستان پارس آباد (1532نفر) که در سال تحصیلی 95- 96 مشغول به تحصیل بودند، تشکیل می­داد. بدین منظور، 420 نفر از دانش آموزان (245 پسر و 175 دختر)  به روش تصادفی ساده انتخاب شدند و به پرسشنامه تجربه قلدری- قربانی سایبری (آنتونیادو و همکاران، 2016) پاسخ دادند . برای تحلیل داده­ها از روش­های ضریب همسانی درونی، اعتبار بازآزمایی و تحلیل عاملی تأییدی استفاده شد. داده­ها با کمک نرم افزارهای SPSS 24 و LISREL 8.8 مورد تجزیه و تحلیل قرار گرفتند.  یافته­ها نشان داد که ضریب آلفای کرونباخ برای عامل قلدری  سایبری قربانی سایبری  و برای کل مقیاس به ترتیب 75/0، 78/0 و 79/0 به دست آمد. شاخص­های تحلیل عاملی تأییدی نشان داد که این مدل از برازش مناسبی برخوردار است (92/0=CFI، 91/0=NFI و 071/0=RMSEA). در نتیجه می­توان گفت که این مقیاس ابزار مناسبی جهت ارزیابی رفتار قلدری سایبری و قربانی سایبری در جمعیت نوجوانان است.

کلیدواژه‌ها


عنوان مقاله [English]

Psychometric Properties of Cyber-Bullying/Victimization Experiences Questionnaire (CBVEQ) in Students

نویسندگان [English]

  • S Basharpoor 1
  • B Zardi 2
1 Associate Professor of Psychology, University of Mohaghegh Ardabili
2 M.A. in Psychology, University of Mohaghegh Ardabili
چکیده [English]

The purpose of this study was to evaluate psychometric properties of Cyber-Bullying/Victimization Experiences Questionnaire in students. The population consisted of all high school students studying in 2016-2017. For this purpose, 420 students (245 boys and 175 girls) from high schools in Pars Abad city were selected by simple random sampling and they responded to the Cyber-Bullying/Victimization Experiences Questionnaire (Antoniadou et al., 2016). To analyze the data, internal consistency coefficient, test-retest, and confirmatory factor analysis were used. All analysis was done by SPSS 24 and LISREL 8.8. The results showed that Cronbach's alpha coefficient for the cyber bullying experience, cyber victimization experience, and total questionnaire were 0.75, 0.78 and 0.79, respectively. The results of confirmatory factor analysis showed this model has a good fitness (CFI=0.92, NFI=0.91, and RMSEA=0.071). According to the results, it can be said that this questionnaire is a useful instrument for assessment and evaluating of cyber-bullying/victimization behaviors in adolescents.

کلیدواژه‌ها [English]

  • Cyber bullying
  • Cyber victimization
  • Psychometric
  • Confirmatory factor analysis
 
Agatston, P. W., Kowalski, R., & Limber, S. (2007). Students’ perspectives on cyberbullying. Journal of Adolescent Health, 41,59–60.
Alvarez-Garcia, D., Barreiro-Collazo, A., Núnez, J.C., & Dobarro, A. (2016). Validity and reliability of the Cyber-Aggression Questionnaire for Adolescents (CYBA). The European Journal of Psychology Applied to Legal Context,  8, 69-77.
Antoniadou, N., Kokkinos, C.M., & Markos, A. (2016). Development, construct validation and measurement invariance of the Greek cyber-bullying/victimization experiences questionnaire(CBVEQ-G). Computers in Human Behavior, 65, 380-390.
Arce, R., Velasco, J., Novo, M., & Fari˜na, F. (2014). Elaboración y validación de unaescala para la evaluación del acoso escolar [Development and validation of a scale to assess bullying]. Revista Iberoamericana de Psicología y Salud, 5(1),71–104.
Baldry, A. C., Farrington, D. P., & Sorrentino, A. (2015). Am I at risk of cyberbullying? A narrative review and conceptual framework for research on risk of cyberbullying and cyber victimization: The risk and needs assessment approach. Aggression and Violent Behavior, 23, 36–51.
Bonanno, R.A., & Hymel, S. (2013). Cyber bullying and internalizing difficulties: Above and beyond the impact of traditional forms of bullying. Journal of  Youth Adolescence, 42, 685-697.
Brewer, G., & Kerslake, J. (2015). Cyberbullying, self-esteem, empathy and loneliness. Computers in Human Behavior, 48, 255–260.
Corcoran, L., Mc Guckin, C., & Prentice, G. (2015). Cyberbullying or Cyber Aggression? A Review of Existing Definitions of Cyber-Based Peer-to-Peer Aggression. Societies, 5, 245–255.
Denmark, F. L., Klara, M. D., & Baron, E. M. (2008). Bullying and hazing: A form of campus harassment. In M. A. Paludi (Ed.), Understanding and preventing campus violence (pp. 27–40). Westport, CO: Praeger
Dooley, J. J., Gradinger, P., Strohmeier, D., Cross, D., & Spiel, C. (2010). Cyber-victimization: The association between help-seeking behaviours and self-reported emotional symptoms in Australia and Austria. Australian Journal of Guidance & Counselling, 20,194–209.
Dredge, R., Glesson, J., & Piedad Garcia, X. (2015). Development and validation of the social networking experiences questionnaire: A measure of adolescent cyberbullying and its impact. Violence and Victims, 30 (5), 798-812.
Erdur-Baker, O. (2010). Cyberbullying and its correlation to traditional bullying, gender and frequent and risky usage of internet-mediated communication tools. New York Media and Society, 12 (1), 109-125.
Floros, G. D., Siomos, K. E., Fisoun, V., Dafouli, E., & Geroukalis, D. (2013). Adolescent online cyberbullying in Greece: The impact of parental online security practices, bonding, and online impulsiveness. The Journal of School Health, 83(6), 445–453.
Fauman, M.A. (2008). Review of “cyber bullying: bullying in the digital age." The American Journal of Psychiatry, 165, 780-781.
Gini, G., & Espelage, D. L. (2014). Peer victimization, cyberbullying, and suicide risk in children and adolescents. JAMA, 312, 545–546.
Gradinger, P., Strohmeier, D., & Spiel, C. (2009). Traditional bullying and cyberbullying: Identification of risk groups for adjustment problems. Zeitschrift Für Psychologie/Journal of Psychology, 217(4), 205–213.
HaileMariam, A., & Weinberg, M. (2009). The best predictor of depression in Adolescents (unpublished specialist’ thesis). Eastern Illinois University, Charleston, Illinois.
Hemphill, S. A., Kotevski, A., & Heerde, J. A. (2015). Longitudinal associations between cyber-bullying perpetration and victimization and problem behavior and mental health problems in young Australians. International Journal of Public Health, 60,227–237.
Lacey, B. (2007). Social aggression: a study of internet harassment. Unpublished Doctoral Dissertation, Long Island University.
Law, D. M., Shapka, J. D., Domene, J. F., & Gagne, M. H. (2012). Are cyberbullies really bullies? An investigation of reactive and proactive online aggression. Computers in Human Behavior, 28, 664–672.
Li, Q. (2006). Cyberbullying in schools: A research of gender differences. School Psychologist International, 27 (2), 157-170.
McDermott, M. (2012). The relationship between cyberbullying and depression in adolescents. Masters Theses. 894.http://thekeep.eiu.edu/theses/894.
Mager, K.L. (2015). Cyber-Victimization, Depression, and Social Anxiety Among College Students. Masters Theses.. http://thekeep.eiu.edu/theses/2012
Modecki, K. L., Minchin, J., Harbaugh, A. G., Guerra, N. G., & Runions, K. C. (2014). Bullying prevalence across contexts: A meta-analysis measuring cyber and traditional bullying. Journal of Adolescent Health, 55(5), 602–611.
Patchin, J. W., & Hinduja, S. (2006). Bullies move beyond the school yard: a preliminary look at cyber bullying. Youth Violence and Juvenile Justice, 4(2), 148–169.
Ponsford, J. (2007). The future of adolescent female cyber-bullying: electronic media’s effect on aggressive female communication. Unpublished honors thesis, Texas State University, Texas.
Pornari, C. D., & Wood, J. (2010). Peer and cyber aggression in secondary school students: The role of moral disengagement, hostile attribution bias, and outcome expectancies. Aggressive Behavior, 36(2), 81–94.
Perren, S., Dooley, J., Shaw, T., & Cross, D. (2010). Bullying in school and cyberspace: Associations with depressive symptoms in Swiss and Australian adolescents. Child and Adolescent Psychiatry and Mental Health, 4, 28.
Raskauskas, J., & Stoltz, A. D. (2007). Involvement in traditional and electronic bullying among adolescents. Developmental Psychology, 43, 564–57
Smith, P. K., Mahdavi, J., Carvalho, M., & Tippett, N. (2008). An investigation into cyberbullying, its forms, awareness and impact, and the relationship between age and gender in cyberbullying. (A report to the anti-bullying alliance). Research Brief No:R BX03-06. London: DfES
Terzi-Unsal, S., & Kapci, E. G. (2005). Risk factors for suicidal behavior: Psychosocial risk models with Turkish adolescents. Social Behavior & Personality: An International Journal, 33,593–607.
Vazsonyi, A. T., Machackova, H., Sevcikova, A., Smahel, D., & Cerna, A. (2012). Cyber-bullying in context: Direct and indirect effects by low self-control across 25European countries. European Journal of Developmental Psychology, 9, 210– 227.
Weiser, E.B. (2004). Gender differences in internet use patterns and internet application preferences: A two sample comparison. Cyberpsychology and Behavior, 3 (2), 167-178.
Wilton, C., & Campbell, M. A. (2011). An exploration of the reasons why adolescents engage in traditional and cyberbullying. Journal of Educational Sciences andPsychology, 63, 101–109.
Ybarra, M. L., & Mitchell, K. J. (2004). Online aggressor/targets, aggressors, and targets: A comparison of associated youth characteristics. Journal of Child Psychology and Psychiatry, 45,1308–1316.