Self-Reported Sexual Aggression among Youths: Exploring the Possible Subtypes

Öz

Sexual aggression and offense among youths have long been subjected to scientific inquiries. A sizable number of these inquiries have identified sexually aggressive youths to constitute a heterogeneous group with possible distinct subgroups varying across their targeted victims and risk factors. This study aims to contribute to the growing body of research geared toward identifying these subgroups. Using self-reported data collected from US middle and high school students, this study employs a latent class analysis (LCA) to identify the subgroups of sexually aggressive youths using a data-driven strategy. The LCA results indicate three latent classes (sub-groups) to be distinguishable both quantitatively and qualitatively in the study sample: general delinquents, emotionally disturbed, and low-risk youths. These subgroups are comparable with those identified in similar previous studies. However, the subgroups’ sizes in this study vary slightly from the sizes of the subgroups identified by earlier studies. The study concludes by presenting the reasons for the identified differences, policy implications, study limitations, and future research directions.

Anahtar Kelimeler

• Sexual offense
• aggression
• juvenile sex offenders
• latent class analysis
• juvenile delinquency
• risk factors

Kaynakça

1. Agresti, A. (2018). An introduction to categorical data analysis. John Wiley & Sons. google scholar
2. Andrade, J. T., Vincent, G. M., and Saleh, F. M. (2006). Juvenile sex offenders: A complex population. Journal of forensic sciences, 51(1), 163-167. google scholar
3. Bandeen-Roche, K., Miglioretti, D. L., Zeger, S. L., and Rathouz, P. J. (1997). Latent variable regression for multiple discrete outcomes. Journal of the American Statistical Association, 92(440), 1375-1386. google scholar
4. Barra, S., Bessler, C., Landolt, M. A., and Aebi, M. (2018). Patterns of adverse childhood experiences in juveniles who sexually offended. Sexual Abuse: A Journal of Research and Treatment, 30, 803-827. google scholar
5. Becker, J. V., Cunningham-Rathner, J., and Kaplan, M. S. (1986). Adolescent sexual offenders: Demographics, criminal and sexual histories, and recommendations or reducing future offenses. Journal of Interpersonal Violence, 1, 431-445. google scholar
6. Biderman, A. D., & Reiss, A. J. (2017). On exploring the “dark figure” of crime. In Quantitative Methods in Criminology (pp. 201-215). Routledge. google scholar
7. Brown, A. (2019). Using latent class analysis to explore subtypes of youth who have committed sexual offenses. Youth Violence and Juvenile Justice, 17(4), 413-430. google scholar
8. Buker, H. and Erbay, A. (2020). Juvenile sex offenders in Turkey: A study on offense characteristics, risk factors, and the differences between juvenile sex offenders and other juvenile offenders. Crime Delinquency, 67(5), 689-716. https://doi.org/10.1177/0011128720930667 google scholar

9. Butler, S. M. and Seto, M. C. (2002). Distinguishing two types of adolescent offenders. Journal of the Academy of Child and Adolescent Psychiatry, 41(1), 83-90. google scholar
10. Calleja, N. G. (2015). Juvenile sex and non-sex offenders: A comparison of recidivism and risk. Journal of Addictions Offender Counseling, 36(1), 2-12. google scholar
11. Charles, G. and Mcdonald, M. (2005). Adolescent sexual offenders: An overview. Journal Of Child And Youth Care, 11. google scholar
12. Christiansen, A. K. and Vincent, J. P. (2013). Characterization and prediction of sexual and non-sexual recidivism among adjudicated juvenile sex offenders. Behavioral Sciences the Law, 31(4), 506-529. google scholar
13. Curry, I., Luk, J. W., Trim, R. S., Hopfer, C. J., Hewitt, J. K., Stallings, M. C., Brown, S. A., and TL., W. (2018). Impulsivity dimensions and risky sex behaviors in an at-risk young adult sample. Arch Sex Behav, 41(2), 529-36. google scholar
14. Dayton, C. M. and Macready, G. B. (1988). Concomitant-variable latent-class models. Journal of the American Statistical Association, 83(401), 173-178. google scholar
15. DeGue, S., Massetti, G. M., Holt, M. K., Tharp, A. T., Valle, L. A., Matjasko, J. L., and Lippy, C. (2013). Identifying links between sexual violence and youth violence perpetration: New opportunities for sexual violence prevention. Psychology of Violence, 3(2), 140-156. google scholar
16. Dir, A. L., Coskunpinar, A., and Cyders MA., A. (2014). meta-analytic review of the relationship between adolescent risky sexual behavior and impulsivity across gender, age, and race. Clin Psychol Rev, 34(7), 551- 62. google scholar
17. Dunton, C. A. (2020). Toward an empirically derived classification of sexually aggressive juveniles in a treatment setting. Violence and Victims, 35(5), 751-779. google scholar
18. Dwyer, R. G. and Letourneau, E. J. (2011). Juveniles who sexually offend: Recommending a treatment program and level of care. Child and Adolescent Psychiatric Clinics of North America, 20(3), 413-429. google scholar
19. Dziak, J. J., Lanza, S. T., & Tan, X. (2014). Effect size, statistical power, and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Structural equation modeling: a Multidisciplinary Journal, 21(4), 534-552. google scholar
20. Ekundayo, O. O. and Babalola, O. B. (2020). Sexual risk behavior: The roles of impulsivity, family type and peer pressure among undergraduate students in Nigeria. European Review of Applied Sociology, 13(20), 15-23. google scholar
21. Falligant, J. M., Alexander, A. A., and Burkhart, B. R. (2017). Offense characteristics and cognitive functioning in juveniles adjudicated for illegal sexual behavior. Journal of Sexual Aggression, 23(3), 291-299. google scholar
22. Fanelli, C. A. (2018). Comparing Juvenile Sex Offenders and Juvenile Non-sex Offenders in an Adjudicated Group (unpublish doctoral dissertation). Fordham University, New York, USA. google scholar
23. Fanniff, A. M. and Kolko, D. J. (2012). Victim age-based subtypes of juveniles adjudicated for sexual offenses. Sexual Abuse: A Journal of Research and Treatment, 24(3), 224-264. google scholar
24. FBI (2019). Crime in the United States, 2019. Retrieved January 12, 2021 from https://ucr.fbi.gov/crime-in-the-u.s/2019/crime-in-the-u.s.-2019 google scholar
25. Finkelhor, D., Ormrod, R., and Chaffin, M. (2009). Juveniles who commit sex offenses against minors. Juvenile Justice Bulletin. Retrieved December 12, 2020 from https://www.ojp.gov/pdffiles1/ojjdp/227763.pdf google scholar
26. Ford, M. E. and Linney, J. A. (1995). Comparative analysis of juvenile sexual offenders, violent non-sexual offenders, and status offenders. Journal of Interpersonal Violence, 10(1), 56-70. google scholar
27. Fox, B. and Delisi, M. (2018). From criminological heterogeneity to coherent classes. Youth Violence and Juvenile Justice, 16(3), 299-318. google scholar
28. Fox, B. H. (2017). What makes a difference? evaluating the key distinctions and predictors of sexual and non-sexual offending among male and female juvenile offenders. Journal of Criminal Psychology, 7(2), 134-150. google scholar
29. Gamache, D., Diguer, L., Laverdiere, O., and Rousseau, J. (2012).‘ Development of an object relation-based typology of adolescent sex offenders. Bulletin of the Menninger Clinic, 76(4), 329-364. google scholar
30. Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61, 215-231. google scholar
31. Graves, R. B. (1993). Conceptualizing the youthful male sex offender: A meta-analytic examination of offender characteristic by offense type. PhD thesis, Unpublished, Utah State University. google scholar
32. Gunby, C. and Woodhams, J. (2010). Sexually deviant juveniles: Comparisons between the offender and offense characteristics of "child abusers" and "peer abusers." psychology. Crime Law, 16(1), 47-64. google scholar
33. Hackett, S., Phillips, J., Masson, H., and Balfe, M. (2013). Individual, family and abuse characteristics of 700 british child and adolescent sexual abusers. Child Abuse Review, 22(4), 232-245. google scholar
34. Hunter, J. A. (2018). Patterns of sexual offending in juveniles and risk factors. In Ryan, E. P., Hunter, J. A., and Murrie, D. C., (Eds.), Juvenile sex offenders: A guide to evaluation and treatment for mental health professionals, pp. 34-53. Oxford University Press, Oxford. google scholar
35. Hunter, J. A., Figueredo, A. J., Malamuth, N. M., and Becker, J. V. (2003). Juvenile sex offenders: Toward the development of a typology. Sexual Abuse, 15(1), 27-48. google scholar Hunter Jr, J. A. and Becker, J. V. (1994). The role of deviant sexual arousal in juvenile sexual offending: Etiology, evaluation, and treatment. Criminal Justice and Behavior, 21(1), 132-149. google scholar
36. Isaksson, J., Stickley, A., Koposov, R., and Ruchkin, V. (2018). The danger of being inattentive - ADHD symptoms and risky sexual behavior in Russian adolescents. European Psychiatry, 47, 42-48. google scholar
37. Karsten, T. M. and Dempsey, R. (2018). Neuropsychological risk factors to consider when assessing for sexually abusive youth. Journal of Child Sexual Abuse, 27(8), 1-19. google scholar
38. Kavoussi, R. J., Kaplan, M., and Becker, J. V. (1988). Psychiatric diagnoses in adolescent sex offenders. Journal of the American Academy of Child & Adolescent Psychiatry, 27(2), 241-243. google scholar
39. Kemper, T. S. and Kistner, J. A. (2010). An evaluation of classification criteria for juvenile sex offenders. Sexual Abuse: Journal of Research and Treatment, 22(2), 172-190. google scholar
40. Khurana, A., Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., and Hurts, H. (2012). Early adolescent sexual debut: the mediating role of working memory ability, sensation seeking, and impulsivity. Dev Psychol, 48(5), 1416-28. google scholar
41. Knight, R. A. and Prentky, R. (1993). Exploring characteristics for classifying juvenile sex offenders. In Barbaree, E., Marshall, W. L., and Hudson, S. M., editors, H, pages 49-79. Guilford, The Juvenile Sex Offender, New York. google scholar
42. Lazarsfeld, P. F. and Henry, N. W. (1968). Latent structure analysis. Houghton Mifflin, Boston, MA. google scholar
43. Linzer, D. A. and Lewis, J. B. (2011). polca: An r package for polytomous variable latent class analysis. Journal of Statistical Software, 42(10), 1- 29. google scholar
44. Lombardi, K. and Jones, K. (2015). Campus sexual assault statistics don’t add up. Retrieved November 12, 2020 from https://publicintegrity.org/education/campus-sexual-assault-statistics-dont-add-up/ google scholar
45. Lussier, P., Berg, V. D., C., B. C., and Hendriks, J. (2012). A developmental taxonomy of juvenile sex offenders for theory, research, and prevention: The adolescent-limited and the high rate slow desister. Criminal Justice and Behavior, 39(12), 1559-1581. google scholar
46. Magnusson, B., Crandall, A., and Evans, K. (2019). Early sexual debut and risky sex in young adults: The role of low self-control. BMC public health, 19(1), 1-8. google scholar
47. McCuish, E. C., Lussier, P., and Corrado, R. R. (2016). Criminal careers of juvenile sex and non-sex offenders: Evidence from a prospective longitudinal study. Youth Violence and Juvenile Justice, 14(3), 199-224. google scholar
48. Miller, H. A., Turner, K., and Henderson, C. E. (2009). Psychopathology of sex offenders: A comparison of males and females using latent profile analysis. Criminal Justice and Behavior, 36(8), 778-792. google scholar
49. O’Brien, M. (1991). Taking sibling incest seriously. In Patton, M. Q., editor, Family Sexual Abuse, pages 75-92. Sage Publications, Newbury Park, CA. google scholar
50. O’Brien, M. and Bera, W. (1986). Adolescent sexual offenders: A descriptive typology. Newsletter of the National Family Life Education Network, 1, 1-5. google scholar
51. Oxnam, P. and Vess, J. (2006). A personality-based typology of adolescent sexual offenders using the millon adolescent clinical inventory. New Zealand Journal of Psychology, 35(1), 36-44. google scholar
52. Oxnam, P. and Vess, J. (2008). A typology of adolescent sexual offenders: Millon adolescent clinical inventory profiles, developmental factors, and offence characteristics. The Journal of Forensic Psychiatry Psychology, 19(2), 228-242. google scholar
53. Rasmussen, L. A. (2004). Differentiating youth who sexually abuse: Applying a multidimensional framework when assessing and treating subtypes. Journal of Child Sexual Abuse, 13, 57-82. google scholar
54. Rasmussen, L. A. and Miccio-Fonseca, L. C. (2007). Paradigm shift: Implementing mega, a new tool proposed to define and assess sexually abusive dynamics in youth ages 19 and under. Journal of Child Sexual Abuse, 16(1), 85-106. google scholar
55. Richardson, G., Kelly, T. P., Graham, F., and Bhate, S. R. (2004). A personality-based taxonomy of sexually abusive adolescents derived from the millon adolescent clinical inventory (maci). British Journal of Clinical Psychology, 43, 283-298. google scholar
56. Riser, D. K., Pegram, S. E., and Farley, J. P. (2013). Adolescent and young adult male sex offenders: Understanding the role of recidivism. Journal of Child Sexual Abuse, 22(1), 9-31. google scholar
57. Ryan, E. (2018). Sexual offending in society and the legal system. In Ryan, E. P., Hunter, J. A., and Murrie, D. C., editors, Juvenile Sex Offenders: A Guide to Evaluation and Treatment for MentalHealth Professionals, pages 1-20. Oxford University Press, Oxford. google scholar
58. Ryan, E. P. and Otonichar, J. M. (2016). Juvenile sex offenders. Current psychiatry reports, 18(7), 67. google scholar
59. Seto, M. C. and Lalumiere, M. L. (2010). What is so special about male‘ adolescent sexual offending? a review and test of explanations through meta-analysis. Psychological Bulletin, 136(4), 526-575. google scholar
60. Smith, W. R., Monastersky, C., and Deisher, R. M. (1987). Mmpi-based personality types among juvenilesexual offenders. Journal of Clinical Psychology, 43, 422-430. google scholar
61. Thornberry T.P. and Krohn, M.D. (2003) Comparison of self-report and official data for measuring crime. In: J.V. Pepper, and C.V. Petrie, C.V, (eds) Measurement problems in criminal justice research: workshop summary (pp 43-94). National Academies Press, Washington, DC. google scholar
62. Vaughn, M. G., Delisi, M., Beaver, K. M., and Howard, M. O. (2008). Toward a quantitative typology of burglars: A latent profile analysis of career offenders. Journal of Forensic Sciences, 53(6). google scholar
63. Vaughn, M. G., Delisi, M., Beaver, K. M., and Howard, M. O. (2009). Multiple murder and criminal careers: A latent class analysis of multiple homicide offenders. Forensic Science International, 183(1-3), 67-73. google scholar
64. Veneziano, C. and Veneziano, L. (2002). Adolescent sex offenders. Trauma, Violence, Abuse, 3(4), 247-260. google scholar
65. Worling, J. R. (1995). Sexual abuse histories of adolescent male sex offenders: Differences based on the age and gender of their victims. Journal of Abnormal Psychology, 104, 610-613. google scholar
66. Worling, J. R. (2001). Personality-based typology of adolescent male sexual offenders: Differences in recidivism rates, victim-selection characteristics, and personal victimization histories. Sexual Abuse: A Journal of Research and Treatment, 13(3), 149-166. google scholar
67. Yoder, J. R., Leibowitz, G. S., and Peterson, L. (2018). Parental and peer attachment characteristics: Differentiating between youth sexual and non-sexual offenders and associations with sexual offense profiles. Journal of Interpersonal Violence, 33(17), 2643-2663. google scholar
68. Zweig, J. M., Dank, M., Lachman, P., and Yahner, J. (2013). Technology, teen dating violence and abuse, and bullying. Urban Institute, Washington, DC. google scholar
69. Zych, I., Ttofi, M. M., and Farrington, D. P. (2019). Empathy and callous- unemotional traits in different bullying roles: A systematic review and meta-analysis. Trauma, Violence, Abuse, 20(1), 3-21. google scholar