Corrigendum to cyberbullying through the lens of social influence: Predicting cyberbullying perpetration from perceived peer-norm, cyberspace regulations and ingroup processes [Comput. Hum. Behav. 102C (2020) 260-273. Predicting cyberbullying perpetration from perceived peer-norm, cyberspace regulations and ingroup processes [Comput. Hum. Behav. 102C (2020) 260-273](S0747563219303292)(10.1016/j.chb.2019.09.001)

Valentina Piccoli, Andrea Carnaghi, Michele Grassi, Marta Stragà, Mauro Bianchi

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2 Citations (Scopus)

Abstract

Due to a programming error, the conditional effect of the perceived peer-norm on cyberbullying perpetration as a function of ingroup identification (1SD below the mean, at the mean, and 1SD above the mean) at different levels of ingroup prototypicality (1SD below the mean and 1SD above the mean) was miscalculated, rendering Figs. 2 and 3 incorrect and some beta values throughout. The authors wish to apologize for this mistake, which has not affected the qualitative nature of the results or any of the principal conclusions stated in the paper. The correct figures and modified betas throughout the text (highlighted in bold) are shown below. [pp. 266, 267] As far as the lower levels of ingroup prototypicality were concerned, the stronger the perceived peer-norm, the higher the frequency of cyberbullying perpetration, at higher, β^ =.259, p <.001, compared to the mean, β^ = 0.208, p <.001, and to lower levels of ingroup identification, β^ = 0.158, p <.001. As for the higher levels of ingroup prototypicality, again, the stronger the perceived peer-norm, the higher the frequency of cyberbullying perpetration at higher, β^ =.408, p <.001, compared to the mean, β^ = 0.305, p <.001, and to lower levels of ingroup identification, β^ = 0.203, p =.001. [p. 268, Ancillary analyses] Specifically, participants with lower vs. higher levels of ingroup identification and ingroup prototypicality, the former being less sensitive to the perceived peer-norm (i.e., positive scenario subgroup, β^s =.158, p <.001) than the latter (i.e., negative scenario subgroup, β^s =.408, p <.001). The comparison between the negative scenario subgroup in the referential informative social influence to the negative scenario subgroup in the informational social influence indicated an increased amount of predicted cyberbullying perpetration equal to 29% (β^sratio = 1.294, SE = 0.153, p <.001; see Fig. 3). The comparison between the positive scenario subgroup in the referential informative social influence to the positive scenario subgroup in the informational social influence indicated a decreased amount of predicted cyberbullying perpetration equal to 20% (β^s ratio = 0.795, SE = 0.113, p <.001).

Original languageEnglish
Article number108040
Pages (from-to)108040
Number of pages1
JournalComputers in Human Behavior
Volume151
DOIs
Publication statusPublished - 1 Feb 2024

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