Strategies to Combat Sexual Violence: The Need for a Menu of Informed Choices

  • Cynthia Calkins
  • Elizabeth L. JeglicEmail author


This final chapter reviews policy and prevention options and prompts a discussion of whether we can do better at preventing sexual violence. In an attempt to create a menu of available policy and prevention options, we begin to lay out what the selection of options is, as well as each of their associated costs and benefits. The chapter concludes by summarizing how sexual violence prevention initiatives are likely to offer the best return on investment in terms of dollars spent and—more importantly—lowered rates of sexual violence.


Return on investment Sex crime policy Sex offender Sexual violence prevention Cost–benefit analysis 


  1. Allington, R. L., McGill-Frazen, A., Camilli, G., Williams, L., Graff, J., Zeig, J., et al. (2010). Addressing summer reading setback among economically disadvantaged elementary students. Reading Psychology, 31(5), 411–427.CrossRefGoogle Scholar
  2. Borman, G., Goetz, M., & Dowling, M. (2009). Halting the summer achievement slide: A randomized field trial of the kindergARTen summer camp. Journal of Education for Students Placed at Risk, 14(2), 133–147.CrossRefGoogle Scholar
  3. Calkins, C., Colombino, N., Matsuura, T., & Jeglic, E. (2015). Where do sex crimes occur? How an examination of sex crime location can inform policy and prevention. International Journal of Comparative and Applied Criminal Justice, 39, 99–112. doi: 10.1080/01924036.2014.973047 CrossRefGoogle Scholar
  4. Colombino, N. (2016). Preventing sexual violence where it most often occurs: An investigation of the situational and structural components of child sexual abuse in residential settings. Unpublished dissertation.Google Scholar
  5. Colorado Department of Public Safety. (2004). Report on safety issues raised by living arrangements and location of sex offenders in the community. Denver, CO: Sex Offender Management Board.Google Scholar
  6. Franckle, R., Adler, R., & Davison, K. (2014). Accelerated weight gain among children during summer versus school year and related racial/ethnic disparities: A systematic review. Preventing Chronic Disease, 11, 1–10. doi: 10.5888/pcd11.130355 CrossRefGoogle Scholar
  7. Gies, S. V., Gainey, R., Cohen, M. I., Healy, E., Duplantier, E., Yeide, M., et al. (2012). Monitoring High-Risk Sex Offenders With GPS Technology: An Evaluation of The California Supervision Program: Final Report. Washington, D.C.: U.S. Department of Justice, National Institute of Justice.CrossRefGoogle Scholar
  8. Gies, S. V., Gainey, R., & Healy, E. (2013). Using GPS technology to monitor high-risk sex offenders: California’s experience with implementation. Journal of Offender Monitoring, 25(2), 5–8.Google Scholar
  9. International Centre for Missing & Exploited Children (ICMEC). (2016). Child pornography: Model legislation & global review. Retrieved from:
  10. Janus, E. S. (2006). Failure to protect: America’s sexual predator laws and the rise of the preventive state. New York: Cornell University Press.Google Scholar
  11. Krieger, J. W., Chan, N. L., Saelens, B. E., Ta, M. L., Solet, D., & Fleming, D. W. (2013). Menu labeling regulations and calories purchased at chain restaurants. American Journal of Preventive Medicine, 44, 595–604.CrossRefPubMedGoogle Scholar
  12. Long, M. W., Tobias, D. K., Cradock, A. L., Batchelder, H., & Gortmaker, S. L. (2015). Systematic review and meta-analysis of the impact of restaurant menu calorie labeling. American Journal of Public Health, 105, 11–24. doi: 10.2105/AJPH.2015.302570 CrossRefGoogle Scholar
  13. Minnesota Department of Corrections. (2003). Level three sex offenders residential placement issues. St. Paul, MN: Author.Google Scholar
  14. Minnesota Department of Corrections. (2007). Residential proximity and sexual offense recidivism in Minnesota. St. Paul, MN: Author.Google Scholar
  15. Motivans, M., & Kyckelhahn, T. (2007). Federal prosecution of child sex exploitation offenders, 2006. Bureau of Justice Statistics Bulletin, 1–8. Retrieved from
  16. Nobles, M. R., Levenson, J. S., & Youstin, T. J. (2012). Effectiveness of residence restrictions in preventing sex offense recidivism. Crime & Delinquency, 58, 491–513. doi: 10.1177/0011128712449230 CrossRefGoogle Scholar
  17. Padgett, K. G., Bales, W. D., & Blomberg, T. G. (2006). Under surveillance: An empirical test of the effectiveness and consequences of electronic monitoring. Criminology & Public Policy, 5(1), 61–92.CrossRefGoogle Scholar
  18. Sandler, J. C., Freeman, N. J., & Socia, K. M. (2008). Does a watched pot boil? A time-series analysis of New York State’s sex offender registration and notification law. Psychology, Public Policy and Law, 14(4), 284–302. doi: 10.1037/a0013881 CrossRefGoogle Scholar
  19. Seto, M. C. (2013). Internet Sex Offenders. Washington, D.C.: American Psychological Association.CrossRefGoogle Scholar
  20. Socia, K. M. (2012). The efficacy of county-level sex offender residence restrictions in New York. Crime & Delinquency, 58, 612–642. doi: 10.1177/0011128712441694 CrossRefGoogle Scholar
  21. Wolak, J., Liberatore, M., & Levine, B. N. (2013). Measuring a year of child pornography trafficking by U.S. computers on a peer-to-peer network. Child Abuse and Neglect, 38, 347–356. doi: 10.1016/j.chiabu.2013.10.018 CrossRefPubMedGoogle Scholar
  22. Zandbergen, P. A., Levenson, J. S., & Hart, T. C. (2010). Residential proximity to schools and daycares: An empirical analysis of sex offense recidivism. Criminal Justice and Behavior, 37, 482–502.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of PsychologyJohn Jay College of Criminal JusticeNew YorkUSA

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