Journal of Adolescent Health
Volume 41, Issue 6, Supplement , Pages S31-S41 , December 2007

The Co-occurrence of Internet Harassment and Unwanted Sexual Solicitation Victimization and Perpetration: Associations with Psychosocial Indicators

  • Michele L. Ybarra, M.P.H., Ph.D.

      Affiliations

    • Internet Solutions for Kids, Inc., Irvine, California
    • Corresponding Author InformationAddress correspondence to: Michele L. Ybarra, M.P.H., Ph.D., Internet Solutions for Kids, Inc., 1820 East Garry Avenue #105, Santa Ana, CA 92705.
    • ,
  • Dorothy L. Espelage, Ph.D.

      Affiliations

    • Department of Educational Psychology, University of Illinois, Urbana-Champaign, Illinois
    • ,
  • Kimberly J. Mitchell, Ph.D.

      Affiliations

    • Crimes against Children Research Center, Family Research Lab, University of New Hampshire, Durham, New Hampshire

Received 19 June 2007 ,Accepted 28 September 2007.

References 

  1. USC Annenberg School. The 2007 Digital Future Report. 2007;Los Angeles, California. Available at: http://www.digitalcenter.org/pages/site_content.asp?intGlobalId=22.
  2. Lenhart A, Madden M. Social networking websites and teens: An overview. 1-7-2007. Pew Internet & American Life Project. Available at: http://www.pewinternet.org/PPF/r/198/report_display.asp.
  3. National Public Radio, Kaiser Family Foundation, and Kennedy School of Government. National survey of American adults on technology and national survey of American kids on technology. 2000;Available at: http://www.kff.org/entmedia/loader.cfm?url=/commonspot/security/getfile.cfm&PageID=13388
  4. McKenna KYA, Bargh JA. Plan 9 from cyberspace: The implications for personality and social psychology. Pers Soc Psychol Rev. 2000;4:57–75
  5. Ybarra M, Mitchell K, Wolak J, Finkelhor D. Examining characteristics and associated distress related to Internet harassment: Findings from the Second Youth Internet Safety Survey. Pediatrics. 2006;118:e1169–e1177
  6. Ybarra M. Linkages between depressive symptomatology and Internet harassment among young regular Internet users. Cyberpsychol Behav. 2004;7:247–257
  7. Mitchell K, Finkelhor D, Wolak J. Risk factors for and impact of online sexual solicitation of youth. JAMA. 2001;285:3011–3014
  8. Mitchell K, Wolak J, Finkelhor D. Youth Internet users at risk for the most serious online sexual solicitations. Am J Prev Med. 2007;32:532–537
  9. Ybarra M, Mitchell K. Youth engaging in online harassment: Associations with caregiver-child relationships, Internet use, and personal characteristics. Journal of Adolescence. 2004;27:319–336
  10. Ybarra M, Mitchell K. Prevalence and frequency of Internet harassment instigation: Implications for adolescent health. J Adolesc Health. 2007;41:189–195
  11. Ybarra M, Mitchell K. How risky are social networking sites? A comparison of places online where youth sexual solicitation and harassment occurs. Pediatrics (in press).
  12. Ybarra M, Mitchell K. Online aggressor/targets, aggressors, and targets: A comparison of associated youth characteristics. J Child Psychol Psychiatry. 2004;1308–1316
  13. Ybarra M, Mitchell K, Finkelhor D, Wolak J. Internet prevention messages: Targeting the right online behaviors. Arch Pediatr Adolesc Med. 2007;161:138–145
  14. Nansel T, Overpeck M, Pilla RS, et al. Bullying behaviors among US young people: Prevalence and association with psychosocial adjustment. JAMA. 2001;285:2094–2100
  15. American Association of University Women Education Foundation. Hostile Hallways: Sexual Harassment and Bullying in Schools. Washington, DC: Harris/Scholastic Research; 2001;
  16. Pepler DJ, Craig W, Connolly JA, et al. A developmental perspective on bullying. Aggressive Behav. 2006;32:376–384
  17. Pellegrini AD. A longitudinal study of heterosexual relationships, aggression, and sexual harassment during the transition from primary school through middle school. Appl Dev Psychol. 2002;22:119–133
  18. DeSouza ER, Ribeiro JA. Bullying and sexual harassment among Brazilian high school students. J Interpers Violence. 2005;20:1018–1038
  19. de Brujin P, Burrie I, van Wel F. A risky boundary: Unwanted sexual behaviour among youth. J Sex Aggression. 2006;12:81–96
  20. Espelage D, Holt M. Dating violence & sexual harassment across the bully-victim continuum among middle and high school students. J Youth Adolesc. 2007;36:799–811
  21. Ward JH. Hierarchical grouping to optimize an objective function. J Am Stat Assoc. 1963;58:236–244
  22. Aldenderfer MS, Blashfield RK. Clustery Analysis. Newbury Park, California: Sage; 1984;
  23. Hair JFJ, Black WC. Cluster analysis. In:  Grimm LG,  Yarnold PR editor. Reading and Understanding MORE Multivariate Statistics. Washington, DC: American Psychological Association; 2000;
  24. Boulton MJ, Underwood K. Bully/victim problems among middle school children. Br J Educ Psychol. 1992;62:73–87
  25. Haynie DL, Nansel T, Eitel P, et al. Bullies, victims, and bully/victims: Distinct groups of at-risk young people. J Early Adolesc. 2001;21:29–49
  26. Harris Interactive. Online methodology. 2006;Available at: http://www.harrisinteractive.com/partner/methodology.asp. 7-5-2006
  27. Berrens RP, Bohara AK, Jenkins-Smith H, et al. The advent of Internet surveys for political research: A comparison of telephone and Internet samples. Political Analysis. 2003;11:1–22
  28. Schonau M, Zapert K, Simon LP, et al. A comparison between response rates from a propensity-weighted Web survey and an identical RDD survey. Soc Science Comput Rev. 2004;22:128–138
  29. Taylor H, Bremer J, Overmeyer C, et al. The record of Internet-based opinion polls in predicting the results of 72 races in the November 2000 US elections. Int J Market Res. 2001;43:2
  30. Berrens RP, Bohara AK, Jenkins-Smith H, et al. Information and effort in contingent valuation surveys: Application to global climate change using national Internet samples. J Environ Econ Manage. 2004;47:331–363
  31. Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc. 1984;79:516–524
  32. Terhanian G, Bremer J. Confronting the selection-bias and learning effects problems associated with Internet research. Advertising Res Found J. 2000;
  33. Cook C, Heath F, Thompson RL. A meta-analysis of response rates in Web- or Internet-based surveys. Educ Psychol Meas. 2000;60:821–836
  34. Kaplowitz MD, Hadlock TD, Levine R. A comparison of Web and mail survey response rates. Public Opin Q. 2004;68:94–101
  35. Finkelhor D, Mitchell K, Wolak J. Online Victimization: A Report on the Nation’s Young People. Alexandria, Virginia: National Center for Missing & Exploited Children; 2000;
  36. Wolak J, Mitchell K, Finkelhor D. Online Victimization of Youth: 5 Years Later. Alexandria, Virginia: National Center for Missing & Exploited Children; 2006;
  37. Centers for Disease Control and Prevention. Youth risk behavior surveillance—United States, 2005. Morbid Mortal Wkly Rep. 2006;55:1–108
  38. Spielberger CD, Reheiser EC. Measuring anxiety, anger, depression, and curiosity as emotional states and personality traits with the STAI, STAXI, and STPI. In:  Hersen M,  Hilsenroth MJ,  Segal DL editor. Comprehensive Handbook of Psychological Assessment, Vol. 2, Personality Assessment. Hoboken, New Jersey: John Wiley & Sons; 2003;
  39. Forgays DG, Forgays DK, Speilberger CD. Factor structure of the State–Trait Anger Expression Inventory. J Pers Assess. 1997;69:497–507
  40. Finkelhor D, Hamby SL, Ormond R, Turner H. The Juvenile Victimization Questionnaire: Reliability, validity, and national norms. Child Abuse Neglect. 2005;29:383–412
  41. Bureau of Labor Statistics and Bureau of the Census. Current Population Survey. 2005;Available at: http://www.bls.census.gov/cps/cpsmain.htm. 7-5-2006
  42. Rao JNK, Scott AJ. The analysis of categorical data from complex sample surveys: Chi-squared tests for goodness of fit and independence in two-way tables. J Am Stat Assoc. 1981;76:221–230
  43. Stata Statistical Software, version release 9.0. College Station, Texas: Stata Corporation; 2006;
  44. Olweus D. Annotation: Bullying at school: Basic facts and effects of a school based intervention program. J Child Psychol Psychiatry. 1994;55:1171–1190
  45. Kaltiala-Heino R, Rimpela M, Rantanen P, Rimpela A. Bullying at school—an indicator of adolescents at risk for mental disorders. J Adolesc. 2000;23:661–674
  46. Smith-Khuri E, Iachan R, Scheidt PC, et al. A cross-national study of violence-related behavior in adolescents. Arch Pediatr Adolesc Med. 2004;158:539–544
  47. Solberg M, Olweus D. Prevalence estimation of school bullying with the Olweus Bully/Victim Questionnaire. Aggressive Behav. 2003;29:239–268

PII: S1054-139X(07)00396-5

doi: 10.1016/j.jadohealth.2007.09.010

Journal of Adolescent Health
Volume 41, Issue 6, Supplement , Pages S31-S41 , December 2007

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