Bystanders of bullying: Social-cognitive and affective reactions to school bullying and cyberbullying
The Bystander Intervention Model by Latané and Darley (1970) describes the stages necessary for a bystander to intervene in an emergency and can be used to explain bystander behavior in the case of bullying. Social-cognitive and affective reactions to bullying such as empathy with the victim, moral disengagement, feelings of responsibility, defender self-efficacy and outcome expectancy are supposed to determine whether a bystander passes through all stages of the intervention model and are thereby crucial for the behavioral response. These mental reactions were compared between school bullying and cyberbullying in a sample of 486 German students (56% girls, age: M = 12.95) from 28 classes with a newly developed questionnaire covering the five Social-Cognitive and Affective Reactions to Bullying (SCARB) for school context and cyber context separately. Confirmatory factor analysis showed an acceptable fit and internal consistency coefficients were acceptable to good. In line with our hypotheses, for cyberbullying as compared to school bullying students reported higher moral disengagement and lower feelings of responsibility and self-efficacy. However, no significant difference was found for empathy. The level of negative outcome expectations was lower for cyberbullying than for school bullying. Results confirm that the context of bullying matters for the social-cognitive and affective reactions of bystanders.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Mechanisms of moral disengagement in the exercise of moral agency. Journal of Personality and Social Psychology, 71, 364–374. https://doi.org/10.1037/0022-3518.104.22.1684
Barlińska, J., Szuster, A., & Winiewski, M. (2013). Cyberbullying among adolescent bystanders: Role of the communication medium, form of violence, and empathy. Journal of Community & Applied Social Psychology, 23, 37–51. https://doi.org/10.1002/casp.2137
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48. https://doaj.org/article/7f279483412348928f01507440b0360d
Bliese, P. (2016). multilevel: Multilevel Functions (R package version 2.6.). Retrieved from https://CRAN.R-project.org/package=multilevel
Carrier, L. M., Spradlin, A., Bunce, J. P., & Rosen, L. D. (2015). Virtual empathy: Positive and negative impacts of going online upon empathy in young adults. Computers in Human Behavior, 52, 39–48. https://doi.org/10.1016/j.chb.2015.05.026
Craig, W., Harel-Fisch, Y., Fogel-Grinvald, H., Dostaler, S., Hetland, J., Simons-Morton, B., . . . Pickett, W. (2009). A cross-national profile of bullying and victimization among adolescents in 40 countries. International Journal of Public Health, 54, 216–224. https://doi.org/10.1007/s00038-009-5413-9
DeSmet, A., Bastiaensens, S., van Cleemput, K., Poels, K., Vandebosch, H., Cardon, G., & Bourdeaudhuij, I. de. (2016). Deciding whether to look after them, to like it, or leave it: A multidimensional analysis of predictors of positive and negative bystander behavior in cyberbullying among adolescents. Computers in Human Behavior, 57, 398–415. https://doi.org/10.1016/j.chb.2015.12.051
DeSmet, A., Veldeman, C., Poels, K., Bastiaensens, S., van Cleemput, K., Vandebosch, H., & De Bourdeaudhuij, I. (2014). Determinants of self-reported bystander behavior in cyberbullying incidents amongst adolescents. Cyberpsychology, Behavior and Social Networking, 17, 207–215. https://doi.org/10.1089/cyber.2013.0027
Dooley, J. J., Pyżalski, J., & Cross, D. (2009). Cyberbullying versus face-to-face bullying. Zeitschrift Für Psychologie, 217, 182–188. https://doi.org/10.1027/0044-3409.217.4.182
Eisenberg, N., & Lennon, R. (1983). Sex differences in empathy and related capacities. Psychological Bulletin, 94, 100–131. https://doi.org/10.1037/0033-2909.94.1.100
Erreygers, S., Pabian, S., Vandebosch, H., & Baillien, E. (2016). Helping behavior among adolescent bystanders of cyberbullying: The role of impulsivity. Learning and Individual Differences, 48, 61–67. https://doi.org/10.1016/j.lindif.2016.03.003
Gini, G., Albiero, P., Benelli, B., & Altoè, G. (2008). Determinants of adolescents' active defending and passive bystanding behavior in bullying. Journal of Adolescence, 31, 93–105. https://doi.org/10.1016/j.adolescence.2007.05.002
Gini, G., Pozzoli, T., & Hymel, S. (2014). Moral disengagement among children and youth: A meta-analytic review of links to aggressive behavior. Aggressive Behavior, 40, 56–68. https://doi.org/10.1002/ab.21502
Holfeld, B., & Grabe, M. (2012). Middle school students' perceptions of and responses to cyber bullying. Journal of Educational Computing Research, 46, 395–413. https://doi.org/10.2190/EC.46.4.e
Jenkins, L. N., & Nickerson, A. B. (2017). Bullying participant roles and gender as predictors of bystander intervention. Aggressive Behavior, 43, 281–290. https://doi.org/10.1002/ab.21688
Jolliffe, D., & Farrington, D. P. (2011). Is low empathy related to bullying after controlling for individual and social background variables? Journal of Adolescence, 34, 59–71. https://doi.org/10.1016/j.adolescence.2010.02.001
Kärnä, A., Voeten, M., Poskiparta, E., & Salmivalli, C. (2010). Vulnerable children in varying classroom contexts: Bystanders' behaviors moderate the effects of risk factors on victimization. Merrill-Palmer Quarterly, 56, 261–282. https://doi.org/10.1353/mpq.0.0052
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82, 1–26. https://doi.org/10.18637/jss.v082.i13
Latané, B., & Darley, J. M. (1970). The unresponsive bystander: Why doesn't he help? New York: Appleton-Century-Croft.
Lowry, P. B., Zhang, J., Wang, C., & Siponen, M. (2016). Why do adults engage in cyberbullying on social media? An integration of online disinhibition and deindividuation effects with the social structure and social learning model. Information Systems Research, 27, 962–986. https://doi.org/10.1287/isre.2016.0671
Maas, C. J. M., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1, 86–92. https://doi.org/10.1027/1614-2241.1.3.86
Machackova, H., Dedkova, L., & Mezulanikova, K. (2015). Brief report: The bystander effect in cyberbullying incidents. Journal of Adolescence, 43, 96–99. https://doi.org/10.1016/j.adolescence.2015.05.010
McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah, NJ: Erlbaum. Retrieved from http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10333567
McLean, C. P., & Anderson, E. R. (2009). Brave men and timid women? A review of the gender differences in fear and anxiety. Clinical Psychology Review, 29, 496–505. https://doi.org/10.1016/j.cpr.2009.05.003
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. The Journal of Adolescent Health, 55, 602–611. https://doi.org/10.1016/j.jadohealth.2014.06.007
Nickerson, A. B., Aloe, A. M., Livingston, J. A., & Feeley, T. H. (2014). Measurement of the bystander intervention model for bullying and sexual harassment. Journal of Adolescence, 37, 391–400. https://doi.org/10.1016/j.adolescence.2014.03.003
Obermaier, M., Fawzi, N., & Koch, T. (2016). Bystanding or standing by? How the number of bystanders affects the intention to intervene in cyberbullying. New Media & Society, 18, 1491–1507. https://doi.org/10.1177/1461444814563519
Obermann, M.-L. (2011). Moral disengagement among bystanders to school bullying. Journal of School Violence, 10, 239–257. https://doi.org/10.1080/15388220.2011.578276
Oh, I., & Hazler, R. J. (2009). Contributions of personal and situational factors to bystanders' reactions to school bullying. School Psychology International, 30, 291–310. https://doi.org/10.1177/0143034309106499
O'Keeffe, G. S., & Clarke-Pearson, K. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127, 800–804. https://doi.org/10.1542/peds.2011-0054
Olenik-Shemesh, D., Heiman, T., & Eden, S. (2015). Bystanders' behavior in cyberbullying episodes: Active and passive patterns in the context of personal-socio-emotional factors. Journal of Interpersonal Violence, 32, 23–48. https://doi.org/10.1177/0886260515585531
Olweus, D. (1993). Bullying at school: What we know and what we can do. Oxford: Blackwell.
Paciello, M., Fida, R., Tramontano, C., Lupinetti, C., & Caprara, G. V. (2008). Stability and change of moral disengagement and its impact on aggression and violence in late adolescence. Child Development, 79, 1288–1309. https://doi.org/10.1111/j.1467-8624.2008.01189.x
Pfetsch, J. (2016). Who is who in cyberbullying? Conceptual and empirical perspectives on bystanders in cyberbullying. In M. F. Wright (Ed.), Bullying and victimization. A social-ecological approach to cyberbullying (pp. 121–149). Hauppauge, New York: Nova Science Publishers, Inc.
Polanin, J. R., Espelage, D. L., & Pigott, T. D. (2012). A meta-analysis of school-based bullying prevention programs' effects on bystander intervention behavior. School Psychology Review, 41, 47–65.
Pöyhönen, V., Juvonen, J., & Salmivalli, C. (2012). Standing up for the victim, siding with the bully or standing by? Bystander responses in bullying situations. Social Development, 21, 722–741. https://doi.org/10.1111/j.1467-9507.2012.00662.x
Pozzoli, T., & Gini, G. (2010). Active defending and passive bystanding behavior in bullying: The role of personal characteristics and perceived peer pressure. Journal of Abnormal Child Psychology, 38, 815–827. https://doi.org/10.1007/s10802-010-9399-9
R Core Team. (2018). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
Rivers, I., Poteat, V. P., Noret, N., & Ashurst, N. (2009). Observing bullying at school: The mental health implications of witness status. School Psychology Quarterly, 24, 211–223. https://doi.org/10.1037/a0018164
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1–36.
Runions, K. C., & Bak, M. (2015). Online moral disengagement, cyberbullying, and cyber-aggression. Cyberpsychology, Behavior and Social Networking, 18, 400–405. https://doi.org/10.1089/cyber.2014.0670
Salmivalli, C., Lagerspetz, K., Björkqvist, K., Österman, K., & Kaukiainen, A. (1996). Bullying as a group process: Participant roles and their relations to social status within the group. Aggressive Behavior, 22, 1–15. https://doi.org/10.1002/(SICI)1098-2337(1996)22:1<1::AID-AB1>3.0.CO;2-T
Salmivalli, C., Voeten, M., & Poskiparta, E. (2011). Bystanders matter: Associations between reinforcing, defending, and the frequency of bullying behavior in classrooms. Journal of Clinical Child and Adolescent Psychology, 40, 668–676. https://doi.org/10.1080/15374416.2011.597090
Shultz, E., Heilman, R., & Hart, K. J. (2014). Cyber-bullying: An exploration of bystander behavior and motivation. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 8(4), article 3. https://doi.org/10.5817/CP2014-4-3
Slee, P. T. (1994). Situational and interpersonal correlates of anxiety associated with peer victimisation. Child Psychiatry and Human Development, 25, 97–107. https://doi.org/10.1007/BF02253289
Slonje, R., & Smith, P. K. (2008). Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology, 49, 147–154. https://doi.org/10.1111/j.1467-9450.2007.00611.x
Smith, P. K., Cowie, H., Olafsson, R. F., & Liefooghe, A. P. D. (2002). Definitions of bullying: A comparison of terms used, and age and gender differences, in a fourteen-country international comparison. Child Development, 73, 1119–1133. https://doi.org/10.1111/1467-8624.00461
Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7, 321–326. https://doi.org/10.1089/1094931041291295
Thornberg, R., & Jungert, T. (2013). Bystander behavior in bullying situations: basic moral sensitivity, moral disengagement and defender self-efficacy. Journal of Adolescence, 36, 475–483. https://doi.org/10.1016/j.adolescence.2013.02.003
Thornberg, R., & Jungert, T. (2014). School bullying and the mechanisms of moral disengagement. Aggressive Behavior, 40, 99–108. https://doi.org/10.1002/ab.21509
Thornberg, R., Wänström, L., Hong, J. S., & Espelage, D. L. (2017). Classroom relationship qualities and social-cognitive correlates of defending and passive bystanding in school bullying in Sweden: A multilevel analysis. Journal of School Psychology, 63, 49–62. https://doi.org/10.1016/j.jsp.2017.03.002
van Cleemput, K., Vandebosch, H., & Pabian, S. (2014). Personal characteristics and contextual factors that determine "helping," "joining in," and "doing nothing" when witnessing cyberbullying. Aggressive Behavior, 40, 383–396. https://doi.org/10.1002/ab.21534
van Noorden, T. H. J., Haselager, G. J. T., Cillessen, A. H. N., & Bukowski, W. M. (2015). Empathy and involvement in bullying in children and adolescents: A systematic review. Journal of Youth and Adolescence, 44, 637–657. https://doi.org/10.1007/s10964-014-0135-6
Wachs, S. (2012). Moral disengagement and emotional and social difficulties in bullying and cyberbullying: Differences by participant role. Emotional and Behavioural Difficulties, 17, 347–360. https://doi.org/10.1080/13632752.2012.704318