Un modelo de perfilación para agresores sexuales desconocidos que agreden en las entradas de los edificios

  1. Janosch González, Heriberto
  2. Pérez Fernández, Francisco
  3. Soto Castro, Juan Enrique
Revista:
Revista de Derecho Penal y Criminología

ISSN: 1132-9955

Ano de publicación: 2020

Número: 24

Páxinas: 245-260

Tipo: Artigo

DOI: 10.5944/RDPC.24.2020.28519 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Revista de Derecho Penal y Criminología

Resumo

This paper aims at analysing the features of the perpetrators of sexual assaults whose modus operandi consists of assaulting the victim in doorways or entrances of garage and buildings. Its objective was to determine whether it is possible to predict these features moving from the information regarding the crime scene, by means of analysing solved cases. Moving from the content of convicting judgments issued in Spain, and by applying statistical tests of chi-square, odds-ratio, and binary logistic regression, we have obtained encouraging results, in that some variables in the crime scene allow to predict some features of these offenders. Since the variables of the crime scene that have been used here are known to the police team at the beginning of the investigation, prediction of the sexual offender’s features could be useful to prioritize suspects.

Referencias bibliográficas

  • Alison, l. J., y stein, K. (2001). Vicious circles: How accounts of stranger sexual assault reflect abusive variants of conventional interactions. The Journal of Forensic Psychiatry, 12, 515–538.
  • Almond, l., mcmAnus, m., BAl, A., o’Brien, F., rAinBow, l., y weBB, m. (2018) Assisting the Investigation of Stranger Rapes: Predicting the Criminal Record of U.K. Stranger Rapists From Their Crime Scene Behaviors. J Interpers Violence.
  • Canter, d. V., Bennell, c., Alison, l. J., y reddy, s. (2003). Differentiating sex offences: A behaviorally based thematic classification of stranger rapes. Behavioral Sciences and the Law, 21, 157-174.
  • Canter, d. V., y HeritAge, r. (1990). A multivariate model of sexual offence behaviour: Developments in ‘offender profiling’. The Journal of Forensic Psychiatry, 1(2), 185-212.
  • Canter, d. V., y youngs, d. (2009). Investigative psychology: Offender profiling and the analysis of criminal action. West Sussex, UK: Wiley.
  • Chen, H., coHen, P., y cHen, s. (2010). How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies.
  • Communications in Statistics Simulation and Computation, 39, 860- 864.
  • Corovic, J., Christianson, s. A., y Bergman, l. r. (2012). From crime scene actions in stranger rape to prediction of rapist type: singlevictim or serial rapist? Behavioral Science and the Law, 30, 764-781.
  • Douglas, J. E., ressler, r. K., Burgess, A. w., y HArtmAn. c. r. (1986). Criminal profiling from crime scene analysis. Behavioral Sciences y the Law, 4, 401-421.
  • Gibbens, T. C., Way, C., y sootHill, K. l. (1977). Behavioural Types of Rape. British Journal of Pyschiatry, 130, 32-42.
  • Goodwill, A. m., Alison, l. J., y BeecH, A. r. (2009). What works in offender profiling? A comparison of typological, thematic, and multivariate models. Behavioral Sciences y the Law, 27(4), 507-529.
  • Goodwill, A. m., leHmAnn, r. J. B., BeAuregArd, e. y Andrei, A. (2016). An action phase approach to offender profiling. Leg Crim Psychol, 21: 229–250.
  • GreenFeld, l. A. (1997). Sex Offenses and Offenders. An Analysis of Data on Rape and Sexual Assault. U.S. Department of Justice. Bureau of Justice Statistics.
  • HäKKänen, H., lindlöF, P., y sAnttilA, P. (2004). Crime scene actions and offender characteristics in a sample of Finnish stranger rapes. Journal of Investigative Psychology and Offender Profiling, 1, 17-32.
  • Hewitt, A.N., cHoPin, J., y BeAuregArd, e. (2020) Offender and victim ‘journey-to-crime’: Motivational differences among stranger rapists. Journal of Criminal Justice, Volume 69.
  • Holmstrom, l. l., y Burgess, A. w. (1980). Sexual behavior during reported rapes. Archives of Sexual Behavior, 9, 427-446.
  • Janosch gonzález, H. (2020) La perfilación criminológica desde la perspectiva de los problemas inversos según el enfoque de Mario Bunge, en El resurgimiento de la Criminología científica en América Latina. Estudios en homenaje al Profesor Ayar Chaparro Guerra con motivo de su 75º cumpleaños (11.4.2020) (Alfonso Serrano Maíllo y José Luis Guzmán Dalbora eds.), Dykinson, Madrid.
  • LeHmAnn, r. J. B., goodwill, A. m., gAllAscH-nemitz, F., BiedermAnn, J., y dAHle, K.-P. (2013). Applying crime scene analysis to the prediction of sexual recidivism in stranger rapes. Law and Human Behavior, 37(4), 241-254.
  • MoKros, A., y Alison, l. J. (2002). Is offender profiling possible? Testing the predicted homology of crime scene actions and background characteristics in a sample of rapists. Legal and Criminological Psychology, 7(1), 25-43.
  • Pérez rAmírez, m., sáncHez lóPez, m., giménez-sAlinAs FrAmis, A., y de Juan Espinosa, M. (2018). Stranger rape: classifying Spanish sexual offences using multiple correspondence and cluster analyses. Journal of Sexual Aggression, Vol. 24, 2, 225-239.
  • Pueyo, A. A. y redondo illescAs, s. (2007). Predicción de la violencia. Entre la peligrosidad y la valoración del riesgo de violencia. Papeles del Psicólogo, 28(3), 157-173.
  • Secretaría de Estado de Seguridad del ministerio del interior (2018). Informe sobre Delitos contra la Libertad e indemnidad Sexual en España.
  • snooK, B., eAstwood, J., gendreAu, P., goggin, c., y cullen, r. m. (2007). Taking Stock of Criminal Profiling: A narrative Review and Meta-Analysis. Criminal Justice and Behavior, 34, 437-453.
  • Soto cAstro, J. E. (2017). Manual de investigación psicológica del delito, 2ª edición. Madrid, España: Pirámide.
  • SotocA PlAzA, A., gonzález álVArez, J. l., y HAlty BArrutietA, l. (2019) Perfiles criminales. Principios, técnicas y aplicaciones. Síntesis: Madrid.
  • TurVey, B.E. (Ed.) (2012). Criminal profiling: An introduction to behavioral evidence analysis. London, UK: Elsevier.
Fonte de datos: Dialnet