Development and validation of the Multidimensional Offline and Online Peer Victimization Scale

The MOOPV is a valid and reliable measure of offline and online peer victimization.MOOPV distinguishes indirect and direct forms of offline and online peer victimization.Offline and online peer victimization were related to psychosocial well-being.Boys reported more direct offline victimization than girls, no other gender differences. Peer victimization can seriously impair one's well-being. As youth spend more time on the Internet, a new form of peer victimization has emerged, namely, online peer victimization. To fully comprehend peer victimization among today's youth, there is a need for a psychometrically sound measure that can assess peer victimization occurring both offline and online. In addition, research has shown that it is also important to distinguish between direct and indirect peer victimization. Thus, the aim of this study was to develop and validate the Multidimensional Offline and Online Peer Victimization Scale (MOOPV). The MOOPV measures how often adolescents experience direct and indirect forms of offline and online peer victimization. The four-factor structure of the MOOPV was confirmed using exploratory (n=325) and confirmatory factor analyses (n=799) among adolescents aged 9-18years. As expected, higher scores on all subscales were related to lower levels of psychosocial wellbeing, i.e., less life satisfaction, more loneliness and less social self-esteem. In all, the 20-item MOOPV proved to be a valid, reliable and highly useful instrument. Importantly, because the MOOPV is not linked to specific technologies, it will remain viable even after new technologies for online communication become available.

[1]  K. Williams,et al.  Prevalence and predictors of internet bullying. , 2007, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[2]  Susanne E. Baumgartner,et al.  Developmental trajectories of peer victimization: off-line and online experiences during adolescence. , 2012, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[3]  D. Cross,et al.  Cyberbullying Versus Face-to-Face Bullying A Theoretical and Conceptual Review , 2009 .

[4]  Sigal Eden,et al.  Cyberbullying victimisation in adolescence: relationships with loneliness and depressive mood , 2012 .

[5]  Jeroen S. Lemmens,et al.  Development and Validation of a Game Addiction Scale for Adolescents , 2008 .

[6]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[7]  Michele L. Ybarra,et al.  Examining the overlap in internet harassment and school bullying: implications for school intervention. , 2007, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[8]  A. Sourander,et al.  Psychosocial risk factors associated with cyberbullying among adolescents: a population-based study. , 2010, Archives of general psychiatry.

[9]  F. Esbensen,et al.  Correlates and Consequences of Peer Victimization: Gender Differences in Direct and Indirect Forms of Bullying , 2010 .

[10]  R. Larsen,et al.  The Satisfaction with Life Scale , 1985, Journal of personality assessment.

[11]  Peter K. Smith Cyberbullying: Challenges and opportunities for a research program—A response to Olweus (2012) , 2012 .

[12]  N. Crick,et al.  Relational aggression, overt aggression, and friendship. , 1996, Child development.

[13]  Elisheva F. Gross,et al.  Extending the school grounds?--Bullying experiences in cyberspace. , 2008, The Journal of school health.

[14]  Laura M. Crothers,et al.  Assessment of Bullying: A Review of Methods and Instruments , 2004 .

[15]  Derek L. Bosworth,et al.  DEFINITION AND MEASUREMENT , 1986 .

[16]  P. Valkenburg,et al.  Online communication among adolescents: an integrated model of its attraction, opportunities, and risks. , 2011, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[17]  Sarah Woods,et al.  The association between bullying behaviour, arousal levels and behaviour problems. , 2005, Journal of adolescence.

[18]  Michael L. Sulkowski,et al.  Differences between Peer Victimization in Cyber and Physical Settings and Associated Psychosocial Adjustment in Early Adolescence , 2009 .

[19]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[20]  Robin M. Kowalski,et al.  Psychological, physical, and academic correlates of cyberbullying and traditional bullying. , 2013, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[21]  D. DuBois,et al.  Peer Victimization and Rejection: Investigation of an Integrative Model of Effects on Emotional, Behavioral, and Academic Adjustment in Early Adolescence , 2005, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.

[22]  D. Russell UCLA Loneliness Scale (Version 3): reliability, validity, and factor structure. , 1996, Journal of personality assessment.

[23]  Raúl Béjar Navarro,et al.  Children’s Cyberbullying Victimization: Associations with Social Anxiety and Social Competence in a Spanish Sample , 2012 .

[24]  E. Leibenluft,et al.  The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology , 2005, Psychological Medicine.

[25]  D. Olweus Bully/victim problems in school: Facts and intervention , 1997 .

[26]  R. Cohen,et al.  Childhood victimization: Modeling the relation between classroom victimization, cyber victimization, and psychosocial functioning. , 2012 .

[27]  Robert Slonje,et al.  The nature of cyberbullying, and strategies for prevention , 2013, Comput. Hum. Behav..

[28]  M. Jackson,et al.  Cyberbullying among youth: A comprehensive review of current international research and its implications and application to policy and practice , 2013 .

[29]  M. Prinstein,et al.  Applying Depression-Distortion Hypotheses to the Assessment of Peer Victimization in Adolescents , 2004, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.

[30]  F. Floyd,et al.  Factor analysis in the development and refinement of clinical assessment instruments. , 1995 .

[31]  S. Noar The Role of Structural Equation Modeling in Scale Development , 2003 .

[32]  Todd D Little,et al.  Direct and indirect aggression during childhood and adolescence: a meta-analytic review of gender differences, intercorrelations, and relations to maladjustment. , 2008, Child development.

[33]  Miia Sainio,et al.  Electronic Victimization: Correlates, Antecedents, and Consequences Among Elementary and Middle School Students , 2013, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.

[34]  Katy Tapper,et al.  Sex differences in levels of physical, verbal, and indirect aggression amongst primary school children and their associations with beliefs about aggression , 2004 .

[35]  Jing Wang,et al.  Bullying and Traditional Bullying : Differential Association with Depression , 2011 .

[36]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[37]  D. Espelage,et al.  A review of research on bullying and peer victimization in school: An ecological system analysis☆ , 2012 .

[38]  Aaron Smith,et al.  Social Media & Mobile Internet Use among Teens and Young Adults. Millennials. , 2010 .

[39]  C. Heckler A Step-by-Step Approach to Using the SAS™ System for Factor Analysis and Structural Equation Modeling , 1996 .

[40]  Eric A. Storch,et al.  Peer Victimization and Social-Psychological Adjustment in Hispanic and African-American Children , 2003 .

[41]  Christiane Spiel,et al.  Definition and Measurement of Cyberbullying , 2010 .

[42]  H. Scheithauer,et al.  Emotional and behavioural problems in the context of cyberbullying: a longitudinal study among German adolescents , 2012 .

[43]  Ann Frisén,et al.  Cyberbullying assessment instruments: A systematic review , 2013 .

[44]  E. Huebner,et al.  Peer Victimization and Prosocial Experiences and Emotional Well-Being of Middle School Students. , 2007 .

[45]  Peter K. Smith,et al.  Characteristics of victims of school bullying: Developmental changes in coping strategies and skills. , 2001 .

[46]  K. Kumpulainen,et al.  Peer Harassment in School: The Plight of the Vulnerable and Victimized , 2002 .

[47]  Ersilia Menesini,et al.  The Measurement of Cyberbullying: Dimensional Structure and Relative Item Severity and Discrimination , 2011, Cyberpsychology Behav. Soc. Netw..

[48]  Rick H. Hoyle,et al.  Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis , 2004 .

[49]  David R. Williams,et al.  The Development and Validation of the Online Victimization Scale for Adolescents , 2010 .

[50]  R. Iannotti,et al.  Cyber and traditional bullying: differential association with depression. , 2011, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[51]  C. Chiu,et al.  Relationships among cyberbullying, school bullying, and mental health in Taiwanese adolescents. , 2013, The Journal of school health.

[52]  J. H. Kamphuis,et al.  Peer victimization and internalizing problems in children: a meta-analysis of longitudinal studies. , 2010, Child abuse & neglect.

[53]  Julie Boergers,et al.  Overt and Relational Aggression in Adolescents: Social-Psychological Adjustment of Aggressors and Victims , 2001, Journal of clinical child psychology.

[54]  S. Bauman,et al.  Associations among bullying, cyberbullying, and suicide in high school students. , 2013, Journal of adolescence.

[55]  Robert S. Tokunaga,et al.  Following you home from school: A critical review and synthesis of research on cyberbullying victimization , 2010, Comput. Hum. Behav..

[56]  Chien Chou,et al.  An analysis of multiple factors of cyberbullying among junior high school students in Taiwan , 2010, Comput. Hum. Behav..

[57]  M. Boulton,et al.  Twenty years' research on peer victimization and psychosocial maladjustment: a meta-analytic review of cross-sectional studies. , 2000, Journal of child psychology and psychiatry, and allied disciplines.

[58]  Peter K. Smith,et al.  Bullying in schools: Lessons from two decades of research , 2000 .

[59]  Sandra M. Chafouleas,et al.  Bullying: Considerations for defining and intervening in school settings , 2004 .

[60]  Russell A. Sabella,et al.  Cyberbullying myths and realities , 2013, Comput. Hum. Behav..

[61]  Patti M. Valkenburg,et al.  Friend Networking Sites and Their Relationship to Adolescents' Well-Being and Social Self-Esteem , 2006, Cyberpsychology Behav. Soc. Netw..

[62]  A. Pellegrini,et al.  A longitudinal study of bullying, dominance, and victimization during the transition from primary school through secondary school , 2002 .