Psychometric parameters of the Florence Scale Cyberbullying-Cybervitimization
DOI:
https://doi.org/10.15448/1980-8623.2019.3.31520Keywords:
virtual bullying, victimization, validy, precision.Abstract
The aim of this study was to adapt CyberVictimization Cybernetics (FCBVSs) to the Brazilian context, combining fatal evidence and internal consistency, as well as the invariable factorial by the measure in relation to the participants’ sex. There were 315 students aged 13 to 20 years (M = 16.80, SD = 0,99), the majority of whom were female (54%), middle class (45.1%), of the third year (54.9%). These responded to (FCBVSs), Bullying Behavior Scale (ECB) and the sociodemographic Questionnaire. The factorial confirming the modeling with more parameters as the most appropriate, plus the corresponding references of Cronbach and McDonald gamma masses higher than 0.70. In this way, it verifies if a FCBVSs presents a valid and reliable measurement, and can be used in future studies to know the correlates of cyberbullying.
Downloads
References
Avilés, J. M. (2013). Análisis psicosocial del ciberbullying: claves para una educación moral. Papeles del Psicólogo, 34(1), 65-73. (DOI INEXISTENTE)
Barlett, C. P., & Gentile, D. A. (2012). Attacking others online: The formation of cyberbullying in late adolescence. Psychology of Popular Media Culture, 1(2), 123-135. doi: 10.1037/a0028113.
Barlett, C., & Coyne, S. M. (2014). A Meta Analysis of Sex Differences in Cyber Bullying Behavior: The Moderating Role of Age. Aggressive Behavior, 40, 474- 488. doi: 10.1002/ab.21555
Beauducel, A., & Herzberg, P. Y. (2006) On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares
Estimation in CFA, Structural Equation Modeling: A Multidisciplinary Journal, 13:2, 186-203, doi: 10.1207/s15328007sem1302_2
Bergmann, M. C., & Baier, D. (2018). Prevalence and correlates of cyberbullying perpetration. Findings from a German representative student survey. International Journal of Environmental Research and Public Health, 15(2), 274. https://doi.org/10.3390/ijerph15020274
Berne, S., Frisén, A., Schultze-Krumbholz, A., Scheithauer, H., Naruskov, K., Luik, P. ... & Zukauskiene, R. (2013). Cyberbullying assessment instruments: A systematic review. Aggression and Violent Behavior, 18(2), 320-334. doi: 10.1016/j.avb.2012.11.022
Bistaffa, B. C. (2010). Incorporação de indicadores categóricos ordinais em modelos de equações estruturais. Dissertação de Mestrado, Universidade de São Paulo, São Paulo, Brasil. https://doi.org/10.11606/d.45.2010.tde-09022011-110229
Brochado, S., Soares, S., & Fraga, S. (2016). A scoping review on studies of cyberbullying prevalence among adolescents. Trauma, Violence, & Abuse, 18(5), 523-531. doi: 10.1177/1524838016641668.
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.
Byrne, B. M. (2010). Structural equation modeling with Amos: Basic concepts, applications, and programming. New York: Routledge.
Cavalcanti, J. G., de Lima Coutinho, M. D. P., de Lima Pinto, A. V., Silva, K. C., & Do Bú, E. A. (2018). Vitimização e percepção do bullying: Relação com a sintomatologia depressiva de adolescentes. Revista de
Psicologia da IMED, 10(1),140-159.doi: 10.18256/2175-5027.2018.v10i1.2725
Chen, L., Ho, S. S., & Lwin, M. O. (2017). A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach. New Media & Society, 19(8), 1194-
doi: 10.1177/1461444816634037.
Cheung, G. W., & Rensvold, R. B. (2001). The effects of model parsimony and sampling error on the fit of structural equation models. Organizational Research Methods, 4(3), 236-264. doi: 10.1177/109442810143004. DeHue, F., Bolman, C., & Völlink, T. (2008).
Cyberbullying: Youngsters’ experiences and parental perception. CyberPsychology & Behavior, 11(2), 217- 223.doi: 10.1089/cpb 2007. 0008.
Dooley, J. J., Pyżalski, J., & Cross, D. (2009). Cyberbullying versus face-to-face bullying: A theoretical and conceptual review. Zeitschrift für
Psychologie/Journal of Psychology, 217(4), 182-188. doi: 10.1027/0044-3409.217.4.182.
Gámez-Guadix, M., Calvete, E., Orue, I., & Las Hayas, C. (2015). Problematic Internet use and problematic alcohol use from the cognitive–behavioral model: A longitudinal study among adolescents. Addictive Behaviors, 40, 109-114. doi: 10.1016/j.addbeh.2014.09.009
Gámez-Guadix, M., Gini, G., & Calvete, E. (2015). Stability of cyberbullying victimization among adolescents: Prevalence and association with bully–victim status and psychosocial adjustment. Computers in Human Behavior, 53, 140-148. doi: 10.1016/j.chb.2015.07.007.
Hair, Jr., J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis. Upper Saddle River, NJ: Pearson Prentice Hall.
Holst, B. (2015). Evidências de validade da escala de clima escolar Delaware School Climate Survey- Student (DSCS-S) no Brasil. Dissertação de Mestrado. Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil. https://doi.org/10.24873/j.rpemd.2018.06.219
Hutz, C. S., Bandeira, D. R., & Trentini, C. M. (2015). Psicometria. Porto Alegre: Artmed Editora.
James, B. R. (2004). Probabilidade: um curso em nível intermediário. 3a ed. Rio de Janeiro: IMPA.
Kline, P. (2013). Handbook of Psychological Testing. London: Routledge.
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4),
-1137. doi: 10.1037/a0035618.
Mallmann, C. L., de Macedo Lisboa, C. S., & Calza, T. Z. (2018). Cyberbullying and coping strategies in adolescents from Southern Brazil/Cyberbullying e Estrategias de Coping em Adolescentes do Sul do
Brasil/Cyberbullying y estrategias de afrontamiento en adolescents del sur de Brasil. Acta Colombiana de Psicologia, 21(1), 34-44. doi: 10.14718/acp.2018.21.1.2
Marôco, J. (2010). Análise de equações estruturais: Fundamentos teóricos, software & aplicações. Pêro Pinheiro: Report Number.
Matos, A. P., Vieira, C. C., Amado, J., Pessoa, T., & Martins, M. J. D. (2018). Cyberbullying in Portuguese schools: Prevalence and characteristics. Journal of School Violence, 17(1), 123-137. doi: 10.1080/15388220.2016.1263796.
Medeiros, E. D. D., Gouveia, V. V., Monteiro, R. P., Silva, P. G. N. D., Lopes, B. D. J., Medeiros, P. C. B. D., & Silva, É. S. D. (2015). Bullying Behaviors Scale (BBS): Development and Psychometrics Evidences. Psico- USF, 20(3), 385-397. doi: 10.1590/1413-82712015200302 .
Menesini, E., Nocentini, A., & Calussi, P. (2011). The measurement of cyberbullying: Dimensional structure and relative item severity and discrimination. Cyberpsychology, Behavior, and Social Networking, 14(5), 267-274. doi: 10.1089/cyber.2010.0002.
Moura, D. R. D., Cruz, A. C. N., & Quevedo, L. D. Á. (2011). Prevalence and characteristics of school age bullying victims. Jornal de Pediatria, 87(1), 19-23.
Naruskov, K., Luik, P., Nocentini, A., & Menesini, E. (2012). Estonian students’perception and definition of cyberbullying. Trames: A Journal of the Humanities & Social Sciences, 16(4), 323-343.doi: 10.3176/tr.2012.4.02
Nocentini, A., Calmaestra, J., Schultze-Krumbholz, A., Scheithauer, H., Ortega, R., & Menesini, E. (2010). Cyberbullying: Labels, behaviours and definition in three European countries. Journal of Psychologists and
Counsellors in Schools, 20(2), 129-142. doi: 10.1375/ajgc.20.2.129.
Nunnally, J. C. (1970). Introduction to psychological measurement. New York: McGraw-Hill Book Company.
Olweus, D. (2013). School bullying: Development and some important challenges. Annual review of clinical psychology, 9, 751-780. doi: 10.1146/annurev--clinpsy-050212-185516
Olweus, D., & Limber, S. P. (2018). Some problems with cyberbullying research. Current opinion in psychology, 19, 139-143. doi: 10.1016/j.copsyc.2017.04.012.
Palladino, B. E., Nocentini, A., & Menesini, E. (2015). Psychometric properties of the Florence cyberbullying- -cybervictimization scales. Cyberpsychology, Behavior, and Social Networking, 18(2), 112-119. doi: 10.1089/cyber.2014.0366
Pasquali, L. (2010). Instrumentação psicológica: Fundamentos e práticas. Porto Alegre: ArtMed. Raskauskas, J., & Stoltz, A. D. (2007). Involvement
in traditional and electronic bullying among adolescents. Developmental Psychology, 43(3), 564-575. doi: 10.1037/0012-1649.43.3.564.
Rech, R. R., Halpern, R., Tedesco, A., & Santos, D. F. (2013). Prevalence and characteristics of victims and perpetrators of bullying. Jornal de Pediatria, 89(2), 164-170. https://doi.org/10.1016/j.jpedp.2012.09.004
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling and more. Version 0.5–12 (BETA). Journal of statistical software, 48(2), 1-36. (DOI INEXISTENTE)
Santos, L. C. O., Gouveia, R. S., Soares, A. K. S., Cavalcanti, T. M., & Goubeia, V. V. (2015). Forms of Bullying Scale: Evidências de validade de construto da versão brasileira. Avaliaçao Psicologica: Interamerican Journal of Psychological Assessment, 14(1), 23-31. doi: 10.15689/ap.2015.1401.03.
Schneider, S.K., O’Donnell, L., Stueve, A. & Coulter, R. W. (2012). Cyberbullying, school bullying, and psychological distress: A regional census of high school students. American Journal Public Health, 102 (1),
-177. doi: 10.2105/AJPH.2011.300308.
Selkie, E. M., Fales, J. L., & Moreno, M. A. (2016). Cyberbullying prevalence among US middle and high school–aged adolescents: A systematic review and quality assessment. Journal of Adolescent Health, 58(2), 125-133.doi: 10.1016/ j. jado health. 2015.09.026.
Sijtsma, K. (2009) On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107-20. doi: 10.1007/S11336-008-9101-0.
Slonje, R., Smith, P. K., & FriséN, A. (2013). The nature of cyberbullying, and strategies for prevention. Computers in human behavior, 29(1), 26-32. doi: 10.1016/j.chb.2012.05.024.
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008). Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376-385.
doi: 10.1111/j.1469-7610.2007.01846.x.
Smith, P. K., Steffgen, G., & Sittichai, R. (2013). The nature of cyberbullying, and an international network. In Smith, P. K. & Steffgen, G. (Eds). Cyberbullying through the new media: Findings from an international network, Londres: Psychology Press. https://doi.org/10.4324/9780203799079
Stöber, J. (2001). The Social Desirability Scale-17 (SDS- 17): Convergent validity, discriminant validity, and relationship with age. European Journal of Psychological Assessment, 17, 222-232. https://doi.org/10.1027//1015-5759.17.3.222
Tognetta, L. R. P., & Bozza, T. C. L. (2012). Cyberbullying: um estudo sobre a incidência do desrespeito no ciberespaço e suas relações com as representações que o adolescentes tem de si. Nuances:
Estudos sobre Educação, 23(24), 162-178. doi: 10.14572/nuances. v23i24.1896
Wendt, G. W. (2012). Cyberbullying em adolescentes brasileiros. Universidade do Vale do Rio dos Sinos, Rio Grande do Sul, Brasil. https://doi.org/10.5327/z1679443520180200
Wendt, G. W., & Lisboa, C. (2014). Understanding the cyberbullying phenomenon. Trends in Psychology, 22(1), 39-54. doi: 10.9788/TP2014.1-04.
Ybarra, M. L., Boyd, D., Korchmaros, J. D., & Oppenheim, J. K. (2012). Defining and measuring cyberbullying within the larger context of bullying
victimization. Journal of Adolescent Health, 51(1), 53-58. doi: 10.1016/j.jadohealth.2011.12.031.
Zottis, G. A. H. (2012). Bullying na adolescência: associação entre práticas parentais de disciplina e comportamento agressivo na escola. Dissertação de Mestrado. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil. https://doi.org/10.29289/259453942018v28s1059
Downloads
Published
How to Cite
Issue
Section
License
Copyright
The submission of originals to Psico implies the transfer by the authors of the right for publication. Authors retain copyright and grant the journal right of first publication. If the authors wish to include the same data into another publication, they must cite Psico as the site of original publication.
Creative Commons License
Except where otherwise specified, material published in this journal is licensed under a Creative Commons Attribution 4.0 International license, which allows unrestricted use, distribution and reproduction in any medium, provided the original publication is correctly cited.
