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Modeling the anti‐cyberbullying preferences of university students: Adaptive choice‐based conjoint analysis
Author(s) -
Cunningham Charles E.,
Chen Yvonne,
Vaillancourt Tracy,
Rimas Heather,
Deal Ken,
Cunningham Lesley J.,
Ratcliffe Jenna
Publication year - 2014
Publication title -
aggressive behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.223
H-Index - 92
eISSN - 1098-2337
pISSN - 0096-140X
DOI - 10.1002/ab.21560
Subject(s) - psychology , the internet , conjoint analysis , human factors and ergonomics , applied psychology , social psychology , medical education , poison control , preference , medicine , computer science , medical emergency , world wide web , economics , microeconomics
Adaptive choice‐based conjoint analysis was used to study the anti‐cyberbullying program preferences of 1,004 university students. More than 60% reported involvement in cyberbullying as witnesses (45.7%), victims (5.7%), perpetrator–victims (4.9%), or perpetrators (4.5%). Men were more likely to report involvement as perpetrators and perpetrator–victims than were women. Students recommended advertisements featuring famous people who emphasized the impact of cyberbullying on victims. They preferred a comprehensive approach teaching skills to prevent cyberbullying, encouraging students to report incidents, enabling anonymous online reporting, and terminating the internet privileges of students involved as perpetrators. Those who cyberbully were least likely, and victims of cyberbullying were most likely, to support an approach combining prevention and consequences. Simulations introducing mandatory reporting, suspensions, or police charges predicted a substantial reduction in the support of uninvolved students, witnesses, victims, and perpetrators. Aggr. Behav. 41:369–385, 2015. © 2014 Wiley Periodicals, Inc.