Abstract
Offences committed by pedophiles are crimes that evoke serious public concern and outrage. Although recent research using implicit measures has shown promise in detecting deviant sexual associations, the discriminatory and predictive quality of implicit tasks has not yet surpassed traditional assessment methods such as questionnaires and phallometry. The current research extended previous findings by examining whether a combination of two implicit tasks, the Implicit Association Task (IAT) and the Picture Association Task (PAT), was capable of differentiating pedophiles from non-pedophiles, and whether the PAT, which allows separate analysis for male, female, boy and girl stimulus categories, was more sensitive to specific sexual associations in pedophiles than the IAT. A total of 20 male self-reported pedophiles (10 offender and 10 non-offenders) and 20 male self-reported heterosexual controls completed the two implicit measures. Results indicated that the combination of both tasks produced the strongest results to date in detecting implicit pedophilic preferences (AUC = .97). Additionally, the PAT showed promise in decomposing the sexual associations in pedophiles. Interestingly, as there was an equal distribution of offenders and non-offenders in the pedophile group, it was possible to test for implicit association differences between these groups. This comparison showed no clear link between having these implicit sexual associations and actual offending.
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Notes
The name of the organization is omitted for legal reasons. First contacts were made with the organizations’ chairman. Through him, the participants were recruited.
Images cannot be reproduced due to copyright laws. Further information about the stimulus set can be acquired through the corresponding author.
One participant from the control group had to be dropped from the Picture Association Task analysis due to technical problems during data acquisition.
Excluding pedophiles with preference only for girls did not change effect sizes for the IAT, PAT or the separate or combined ROC scores.
References
Asendorpf, J. B., Banse, R., & Mucke, D. (2002). Double dissociation between implicit and explicit personality self-concept: The case of shy behavior. Journal of Personality and Social Psychology, 83, 380–393.
Babchishin, K. M., Nunes, K. L., & Hermann, C. A. (2013). The validity of Implicit Association Test (IAT) measures of sexual attraction to children: A meta-analysis. Archives of Sexual Behavior, 42, 487–499.
Banse, R., & Clarbour, J. (2007). Indirect assessment of sexual preferences in child molesters: Viewing time outperforms IAT. Paper presented at the International Society for the Study of Individual Differences, Geissen, Germany.
Banse, R., Seise, J., & Zerbes, N. (2001). Implicit attitudes towards homosexuality: Reliability, validity, and controllability of the IAT. Zeitschrift fur Experimentelle Psychologie, 48, 145–160.
Bargh, J. A., Chaiken, S., Govender, R., & Pratto, F. (1992). The generality of the attitude activation effect. Journal of Personality and Social Psychology, 62, 893–912.
Blanchard, R., Klassen, P., Dickey, R., Kuban, M. E., & Blak, T. (2001). Sensitivity and specificity of the phallometric test for pedophilia in nonadmitting sex offenders. Psychological Assessment, 13, 118–126.
Brown, A. S. (2006). Developing an Implicit Association Test for forensic use: Discriminating pedophiles from other offenders. Unpublished doctoral dissertation, Cardiff University.
Brown, A., Gray, N. S., & Snowden, R. J. (2009). Implicit measurement of sexual preferences in child sex abusers: Role of victim type and denial. Sexual Abuse: A Journal of Research and Treatment, 21, 166–180.
Cai, H. J., Sriram, N., Greenwald, A. G., & McFarland, S. G. (2004). The Implicit Association Test’s D measure can minimize a cognitive skill confound: Comment on McFarland and Crouch (2002). Social Cognition, 22, 673–684.
Chaplin, T. C., Rice, M. E., & Harris, G. T. (1995). Salient victim suffering and the sexual responses of child molesters. Journal of Consulting and Clinical Psychology, 63, 249–255.
Dawson, D. L., Barnes-Holmes, D., Gresswell, D. M., Hart, A. J. P., & Gore, N. J. (2009). Assessing the implicit beliefs of sexual offenders using the Implicit Relational Assessment Procedure. Sexual Abuse: A Journal of Research and Treatment, 21, 57–75.
de Fockert, J. W., Rees, G., Frith, C. D., & Lavie, N. (2001). The role of working memory in visual selective attention. Science, 291, 1803–1806.
de Houwer, J. (2002). The Implicit Association Test as a tool for studying dysfunctional associations in psychopathology: Strengths and limitations. Journal of Behaviour Therapy and Experimental Psychiatry, 33, 115–133.
Dotsch, R., & Wigboldus, D. H. J. (2008). Virtual prejudice. Journal of Experimental Social Psychology, 44, 1194–1198.
Dovidio, J. F., Kawakami, K., & Gaertner, S. L. (2002). Implicit and explicit prejudice and interracial interaction. Journal of Personality and Social Psychology, 82, 62–68.
Egloff, B., & Schmukle, S. C. (2002). Predictive validity of an Implicit Association Test for assessing anxiety. Journal of Personality and Social Psychology, 83, 1441–1455.
Fazio, R. H., Sanbonmatsu, D. M., Powell, M. C., & Kardes, F. R. (1986). On the automatic activation of attitudes. Journal of Personality and Social Psychology, 50, 229–238.
Fiedler, K., & Bluemke, M. (2005). Faking the IAT: Aided and unaided response control on the Implicit Association Tests. Basic and Applied Social Psychology, 27, 307–316.
Gannon, T. A., Rose, M. R., & Williams, S. E. (2009). Do female child molesters hold implicit associations between children and sex? A preliminary investigation. Journal of Sexual Aggression, 15, 55–61.
Gawronski, B., LeBel, E. P., & Peters, K. R. (2007). What do implicit measures tell us? Perspectives on Psychological Science, 2, 181–193.
Gray, N., Brown, A. S., MacCullouch, M. J., Smith, J., & Snowden, R. J. (2005). An implicit test of the associations between children and sex in pedophiles. Journal of Abnormal Psychology, 114, 304–308.
Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. New York: Wiley.
Greenberg, D., Bradford, J., Firestone, P., & Curry, S. (2000). Recidivism of child molesters: A study of victim relationship with the perpetrator. Child Abuse and Neglect, 24, 1485–1494.
Greenwald, A. G., McGhee, J., & Schwartz, J. (1998). Measuring implicit differences in social cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464–1480.
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the Implicit Association Test: An improved scoring algorithm. Journal of Personality and Social Psychology, 85, 197–216.
Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97, 17–41.
Hanson, R. K., & Morton-Bourgon, K. E. (2005). The characteristics of persistent sexual offenders: A meta-analysis of recidivism studies. Journal of Consulting and Clinical Psychology, 73, 1154–1163.
Harris, G. T., Rice, M. E., Chaplin, T. C., & Quinsey, V. L. (1999). Dissimulation in phallometric testing of rapists’ sexual preferences. Archives of Sexual Behavior, 28, 223–232.
Henson, D. E., & Rubin, H. B. (1971). Voluntary control of eroticism. Journal of Applied Behavior Analysis, 4, 38–44.
Hermans, D., de Houwer, J., & Eelen, P. (1994). The affective priming effect: Automatic activation of evaluative information in memory. Cognition and Emotion, 8, 515–533.
Inquisit 1.33 [Computer software]. (2003). Seattle. WA: Millisecond Software.
Jenkins, R., Lavie, N., & Driver, J. (2003). Ignoring famous faces: Category-specific dilution of distractor interference. Perception & Psychophysics, 65, 298–309.
Kalmus, E., & Beech, A. R. (2005). Forensic assessment of sexual interest: A review. Aggression and Violent Behavior, 10, 193–217.
Kim, D. Y. (2003). Voluntary controllability of the Implicit Association Test (IAT). Social Psychology Quarterly, 66, 83–96.
Kingston, D. A., Firestone, P., Moulden, H. M., & Bradford, J. M. (2007). The utility of the diagnosis of pedophilia: A comparison of various classification procedures. Archives of Sexual Behavior, 36, 423–436.
Lavie, N., Ro, T., & Russell, C. (2003). The role of perceptual load in processing distractor faces. Psychological Science, 14, 510–515.
Laws, D. R. L., & Gress, C. L. Z. (2004). Seeing things differently: The viewing time alternative to penile plethysmography. Legal and Criminological Psychology, 9, 183–196.
Laws, D. R., & Rubin, H. B. (1969). Instructional control of an autonomic response. Journal of Applied Behavior Analysis, 2, 93–99.
Marshall, W. L., & Fernandez, Y. M. (2000). Phallometric testing with sexual offenders: Limits to its value. Clinical Psychology Review, 20, 807–822.
Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2005). Understanding and using the Implict Association Test: II. Method variables and construct validity. Personality and Social Psychology Bulletin, 31, 166–180.
Nunes, K. L., Firestone, P., & Baldwin, M. W. (2007). Indirect assement of cognitions of child sexual abusers with the Implicit Association Test. Criminal Justice and Behavior, 34, 454–475.
Prentky, R., Knight, R. A., & Lee, A. F. S. (1997). Risk factors associated with recidivism among extrafamilial child molesters. Journal of Consulting and Clinical Psychology, 65, 141–149.
Price, S., & Hanson, R. K. (2007). A modified Stroop task with sexual offenders: Replication of a study. Journal of Sexual Aggression, 13, 203–216.
Proulx, J., McKibben, A., & Lusignan, R. (1996). Relationships between affective components and sexual behaviours in sexual aggressors. Sexual Abuse: A Journal of Research and Treatment, 8, 279–289.
Quinsey, V. L., & Chaplin, T. C. (1988). Preventing faking in phallometric assessments of sexual preference. Annals of the New York Academy of Sciences, 528, 49–58.
Seto, M. C. (2004). Pedophilia and sexual offenses against children. Annual Review of Sex Research, 15, 321–361.
Seto, M. C. (2008). Understanding pedophilia and sexual offending against children: Theory, assessment, and intervention. Washington, DC: American Psychological Association.
Smith, P., & Waterman, M. (2004). Processing bias for sexual material: The emotional Stroop and sexual offenders. Sexual Abuse: A Journal of Research and Treatment, 16, 163–171.
Snowden, R. J., Craig, R. L., & Gray, N. S. (2011). Indirect behavioral measures of cognition among sexual offenders. Journal of Sex Research, 48, 192–217.
van Leeuwen, M. L., & Macrae, C. N. (2004). Is beautiful always good? Implicit benefit of facial attractiveness. Social Cognition, 22, 637–649.
Ward, T., Hudson, S. M., Johnston, L., & Marshall, W. L. (1997). Cognitive distortions in sex offenders: An integrative review. Clinical Psychology Review, 17, 479–507.
Ward, T., & Keenan, T. (1999). Child molesters’ implicit theories. Journal of Interpersonal Violence, 14, 821–838.
Ward, T., Keenan, T., & Hudson, S. M. (2000). Understanding cognitive, affective, and intimacy deficits in sexual offenders: a developmental perspective. Aggression and Violent Behavior, 5, 41–62.
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van Leeuwen, M.L., van Baaren, R.B., Chakhssi, F. et al. Assessment of Implicit Sexual Associations in Non-Incarcerated Pedophiles. Arch Sex Behav 42, 1501–1507 (2013). https://doi.org/10.1007/s10508-013-0094-0
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DOI: https://doi.org/10.1007/s10508-013-0094-0