References
- Aslan, D. (2011). Critically evaluating typologies of internet sex offenders: A psychological perspective. Journal of Forensic Psychology Practice, 11(5), 406–431. https://doi.org/https://doi.org/10.1080/15228932.2011.588925
- Beitchman, J. H., Zucker, K. J., Hood, J. E., DaCosta, G. A., Akman, D., & Cassavia, E. (1992). A review of the long-term effects of child sexual abuse. Child Abuse & Neglect, 16(1), 101–118. https://doi.org/https://doi.org/10.1016/0145-2134(92)90011-F
- Chiang, E., & Grant, T. (2017). Online grooming: Moves and strategies. Language and Law, 4(1), 103–141.
- Clark, D. S. (2016). Raising tech savvy kids: What parents should know that their kids may already know about the interne. WestBow Press.
- Clatworthy, J., Buick, D., Hankins, M., Weinman, J., & Horne, R. (2005). The use and reporting of cluster analysis in health psychology: A review. British Journal of Health Psychology, 10(3), 329–358. https://doi.org/https://doi.org/10.1348/135910705X25697
- Dorasamy, M., Jambulingam, M., & Vigian, T. (2018). Building a bright society with au courant parents: Combating online grooming (pp. 3779–3792). Yokohama, Tokyo: Pacific Asia Conference on Information Systems (PACIS) Proceedings.
- Easton, S. D., & Kong, J. (2017). Mental health indicators fifty years later: A population-based study of men with histories of child sexual abuse. Child Abuse & Neglect, 63, 273–283. https://doi.org/https://doi.org/10.1016/j.chiabu.2016.09.011
- Edelbrock, C., & Achenbach, T. M. (1980). A typology of child behavior profile patterns: Distribution and correlates for disturbed children aged 6-16. Journal of Abnormal Child Psychology, 8(4), 441–470. https://doi.org/https://doi.org/10.1007/BF00916500
- Finkelhor, D., Mitchell, K. J., & Wolak, J. (2000). Online victimization: A report on the nation’s youth (p. 63). https://www.ncjrs.gov/App/abstractdb/AbstractDBDetails.aspx?id=188393
- Gámez-Guadix, M., Almendros, C., Calvete, E., & Santisteban, P. D. (2018). Persuasion strategies and sexual solicitations and interactions in online sexual grooming of adolescents: Modeling direct and indirect pathways. Journal of Adolescence, 63, 11–18. https://doi.org/https://doi.org/10.1016/j.adolescence.2017.12.002
- Garrett, R. (2007). Internet watchdog. Law Enforcement Technology, 34(3), 10,12,14,16–18,20-22. https://www.ncjrs.gov/app/abstractdb/AbstractDBDetails.aspx?id=239644
- Gottschalk, P. (2011). Characteristics of the internet and child abuse. In J. Davidson & P. Gottschalk (Eds.), Internet child abuse: Current research and policy (first, p. 27–51). Routledge Taylor & Francis Group.
- Ioannou, M., Synnott, J., Reynolds, A., & Pearson, J. (2018). A comparison of online and offline grooming characteristics: An application of the victim roles model. Computers in Human Behavior, 85, 291–297. https://doi.org/https://doi.org/10.1016/j.chb.2018.04.011
- Janssens, M., Sels, L., & van den Brande, I. (2003). Multiple types of psychological contracts: A six-cluster solution. Human Relations, 56(11), 1349–1378. https://doi.org/https://doi.org/10.1177/00187267035611004
- Kamiya, Y., Timonen, V., & Kenny, R. A. (2016). The impact of childhood sexual abuse on the mental and physical health, and healthcare utilization of older adults. International Psychogeriatrics, 28(3), 415–422. https://doi.org/https://doi.org/10.1017/s1041610215001672
- Kaufman, K. L., Hilliker, D. R., & Daleiden, E. L. (1996). Subgroup differences in the modus operandi of adolescent sexual offenders. Child Maltreatment, 1(1), 17–24. https://doi.org/https://doi.org/10.1177/1077559596001001003
- Köbrich, C., Rehman, T., & Khan, M. (2003). Typification of farming systems for constructing representative farm models: Two illustrations of the application of multi-variate analyses in Chile and Pakistan. Agricultural Systems, 76(1), 141–157. https://doi.org/https://doi.org/10.1016/S0308-521X(02)00013-6
- Liu, B. (2011). Web data mining: Exploring hyperlinks, contents, and usage data (2nd ed., p. 642). Springer.
- Marcum, C. D. (2007). Interpreting the intentions of internet predators: An examination of online predatory behavior. Journal of Child Sexual Abuse, 16(4), 99–114. https://doi.org/https://doi.org/10.1300/J070v16n04_06
- Martellozzo, E. (2010). Understanding the perpetrators’ online behaviour. In J. Davidson & P. Gottschalk (Eds.), Internet child abuse: Current research and policy (pp. 104–125). Taylor & Francis.
- Martellozzo, E. (2012). Online child sexual abuse: Grooming, policing and child protection in a multi-media world (First). Routledge.
- McCabe, K. A. (2017). Protecting your children online: What you need to know about online threats to your children. Rowman & Littlefield.
- Memmott, M. (2013, November 5). Virtual ‘sweetie’ uncovered 1,000 sexual predators, group says. National Public Radio (NPR), the two-way. http://www.npr.org/blogs/thetwo-way/2013/11/05/243245567/virtual-sweetie-uncovered-1-000-sexual-predators-group-says
- Milligan, G. W., & Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50(2), 159–179. https://doi.org/https://doi.org/10.1007/ BF02294245
- Mooi, E., & Sarstedt, M. (2011). A concise guide to market research: The process, data, and methods using IBM SPSS statistics (Vol. 316, p. 328). Springer.
- Nelson, D. V., Friedman, L. C., Baer, P. E., Lane, M., & Smith, F. E. (1994). Subtypes of psychosocial adjustment to breast cancer. Journal of Behavioral Medicine, 17(2), 127–141. https://doi.org/https://doi.org/10.1007/BF01858101
- Norušis, M. J. (2010). PASW statistics 18 statistical procedures companion (p. 630). Prentice Hall PTR.
- Prynne, M. (2013, November 06). Virtual girl ‘sweetie’ catches thousands of paedophiles. The Telegraph. http://www.telegraph.co.uk/news/uknews/crime/10429608/ Virtual-girl-Sweetie-catches-thousands-of-paedophiles.html
- Punj, G., & Steward, D. W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of Marketing Research, 20(2), 134–148. https://doi.org/https://doi.org/10.1177/002224378302000204
- Quackenbush, J. (2001). Computational analysis of microarray data. Nature Reviews Genetics, 2(6), 418–427. https://doi.org/https://doi.org/10.1038/35076576
- Rapkin, B. D., & Luke, D. A. (1993). Cluster analysis in community research: Epistemology and practice. American Journal of Community Psychology, 21(2), 247–277. https://doi.org/https://doi.org/10.1007/ BF00941623
- Robertiello, G., & Terry, K. J. (2007). Can we profile sex offenders? A review of sex offender typologies. Aggression and Violent Behavior, 12(5), 508–518. https://doi.org/https://doi.org/10.1016/j.avb.2007.02.010
- Rufo, R. A. (2011). Sexual predators amongst us (p. 294). CRC Press.
- Taylor, H. (2017). Online sexual grooming: The role of offender motivation and grooming strategies [Doctoral dissertation]. The University of Birmingham. https://etheses.bham.ac.uk/id/eprint/7896/4/Taylor17ForenPsyD.pdf
- Van Gijn-Grosvenor, E. L., & Lamb, M. E. (2016). Behavioural differences between online sexual groomers approaching boys and girls. Journal of Child Sexual Abuse, 25(5), 577–596. https://doi.org/https://doi.org/10.1080/10538712.2016.1189473
- Ward, T., & Siegert, R. J. (2002). Toward a comprehensive theory of child sexual abuse: A theory knitting perspective. Psychology, Crime & Law, 8(4), 319–351. https://doi.org/https://doi.org/10.1080/10683160208401823
- Webster, S., Davidson, J., Bifulco, A., Gottschalk, P., Caretti, V., Pham, T., & Grove-Hills, J. (2010). European online grooming project, scoping report. Brussels. http://www.europeanonlinegroomingproject.com/wp-content/file-uploads/EOGP-Project-scoping-report.pdf
- Webster, S., Davidson, J., Bifulco, A., Gottschalk, P., Caretti, V., Pham, T., Grove-Hills, J., Turley, C., Tompkins, C., Ciulla, S., Milazzo, V., Schimmenti, A., & Craparo, G. (2012). European online grooming project. Final report. Brussels. http://www.europeanonlinegroomingproject.com/wp-content/file-uploads/European-Online-Grooming-Project-Final-Report.pdf
- Whittle, H., Hamilton-Giachritsis, C., Beech, A., & Collings, G. (2013). A review of online grooming: Characteristics and concerns. Aggression and Violent Behavior, 18(1), 62–70. https://doi.org/https://doi.org/10.1016/j.avb.2012.09.003
- Williams, R., Elliott, I. A., & Beech, A. R. (2013). Identifying sexual grooming themes used by internet sex offenders. Deviant Behavior, 34(2), 135–152. https://doi.org/https://doi.org/10.1080/01639625.2012.707550
- Wolak, J., Finkelhor, D., & Mitchell, K. J. (2004). Internet-initiated sex crimes against minors: Implications for prevention based on findings from a national study. Journal of Adolescent Health, 35(5), 424.e11–424.e20. https://doi.org/https://doi.org/10.1016/j.jadohealth.2004.05.006
- Wolak, J., Mitchell, K., & Finkelhor, D. (2003). Internet sex crimes against minors: The response of law enforcement. http://www.unh.edu/ccrc/pdf/jvq/CV70.pdf.