Date: 14 Nov 2012
The Validity of Implicit Association Test (IAT) Measures of Sexual Attraction to Children: A Meta-Analysis
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The current study presents a quantitative review of the discriminative and convergent validity of Implicit Association Test (IAT) measures adapted to assess sexual interest in children. IAT measures were able to distinguish sex offenders against children (SOC) from non-SOC (M weighted d from random-effects = 0.63, 95 % CI [0.42–0.83], N = 707, k = 12). The largest group differences were found between SOC and non-offenders, followed by non-sex offenders and rapists. IAT measures using sex versus not sex (and similar attribute categories, such as sex vs. neutral) provided superior discrimination compared to IAT measures using sexy versus not sexy (and similar attribute categories, such as erotic vs. non-erotic). The IAT measures had a moderate relationship to self-report (r = .27, 95 % CI [.13–.40], N = 182), sexual offense history variables (r = .27, 95 % CI [.08–.43], N = 145), and viewing time (r = .30, 95 % CI [.16–.43], N = 180) measures of sexual interest in children. Although these IAT measures can discriminate between groups and show convergence with other measures of sexual interest, a better understanding of the construct validity of these tools is required before their use in the assessment, treatment, and supervision of sex offenders.
Reference marked with an asterisk was used in the meta-analysis.
*Babchishin, K. M., Nunes, K. L., & Kessous, N. (2011). A multimodal examination of sexual interest in children. Manuscript submitted for publication.
*Banse, R., Schmidt, A. F., & Clarbour, J. (2010). Indirect measures of sexual interest in child sex offenders: A multimethod approach. Criminal Justice and Behavior, 37, 319–335. doi:10.1177/0093854809357598.
Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. R. (2005). Comprehensive meta-analysis (Version 2). Englewood, NJ: Biostat, Inc.
*Brown, A., Gray, N. S., & Snowden, R. J. (2009). Implicit measurement of sexual preferences in child sex abusers. Sexual Abuse: A Journal of Research and Treatment, 21, 166–180. doi:10.1177/1079063209332234.
Canales, D. D., Olver, M. E., & Wong, S. C. P. (2009). Construct validity of the violence risk scale-sexual offender version for measuring sexual deviance. Sexual Abuse: A Journal of Research and Treatment, 21, 474–492. doi:10.1177/1079063209344990.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Finkelhor, D. (1984). Child sexual abuse: New theory and research. New York: Free Press.
Gannon, T. A., Keown, K., & Polaschek, D. L. L. (2007). Increasing honest responding on cognitive distortions in child molesters: The bogus pipeline revisited. Sexual Abuse: A Journal of Research and Treatment, 19, 5–22. doi:10.1177/107906320701900103.
*Gray, N. S., Brown, A. S., MacCulloch, M. J., Smith, J., & Snowden, R. J. (2005). An Implicit Association Test of the associations between children and sex in pedophiles. Journal of Abnormal Psychology, 114, 304–308. doi:10.1037/0021-843X.114.2.304.
Greenwald, A. G. (2004, January). Revised top 10 list of things wrong with the IAT. Invited presentation at Attitudes Preconference of the 5th annual meeting of the Society of Personality and Social Psychology, Austin, TX.
Hanson, R. K., & Morton-Bourgon, K. (2004). Predictors of sexual recidivism: An updated meta-analysis (User Report #2004-02). Ottawa, ON: Public Safety and Emergency Preparedness Canada.
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. New York: Academic Press.
Helmus, L., Thornton, D., Hanson, R. K., & Babchishin, K. M. (2012). Improving the predictive accuracy of Static-99 and Static-2002 with older sex offenders: Revised age weights. Sexual Abuse: A Journal of Research and Treatment, 24, 64–101. doi:10.1177/1079063211409951.
Kazdin, A. E. (2003). Research design in clinical psychology (4th ed.). Boston: Allyn and Bacon.
Laws, D. R. (1986). Sexual deviance card sort. Unpublished manuscript, Florida Mental Health Institute, Tampa, FL.
Looman, J., & Marshall, W. L. (2001). Phallometric assessments designed to detect arousal to children: The responses of rapists and child molesters. Sexual Abuse: A Journal of Research and Treatment, 13, 3–13. doi:10.1177/107906320101300102.
Marshall, W. L., Anderson, D., & Fernandez, Y. (1999). Cognitive behavioral treatment of sexual offenders. New York: Wiley.
*Mihailides, S., Devilly, G. J., & Ward, T. (2004). Implicit cognitive distortions and sexual offending. Sexual Abuse: A Journal of Research and Treatment, 16, 333–350. doi:10.1023/B:SEBU.0000043327.10168.5b.
Nichols, H. R., & Molinder, I. (2000). Multiphasic Sex Inventory (2nd ed.). Tacoma, WA: Crime and Victim Psychology Specialists.
Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2007). The Implicit Association Test at age 7: A methodological and conceptual review. In J. A. Bargh (Ed.), Automatic processes in social thinking and behavior (pp. 265–292). New York: Psychology Press.
*Nunes, K. L., Firestone, P., & Baldwin, M. W. (2007). Indirect assessment of cognitions of child sexual abusers with the Implicit Association Test. Criminal Justice and Behavior, 34, 454–475. doi:10.1177/0093854806291703.
*Ó Ciardha, C. (2009). Uses of implicit cognitive measures in the assessment of sex offenders. Unpublished doctoral dissertation, Trinity College, Dublin.
Olson, M. A., & Fazio, R. H. (2009). Implicit and explicit measures of attitudes: The perspective of the MODE model. In R. E. Petty, R. H. Fazio, & P. Briñol (Eds.), Attitudes: Insights from the new implicit measures (pp. 19–63). New York: Psychology Press.
*Schmidt, A. F., & Banse, R. (2010, July). Indirect measures of sexual interest in child sex offenders: A multimethod approach and its clinical implications. Paper presented at the International Summer Conference in Forensic Psychiatry, Regensburg.
*Schmidt, A. F., Gykiere, K., Vanhoeck, K., Mann, R. E., & Banse, R. (2011). Direct and indirect measures of sexual maturity preferences differentiate subtypes of child sex abusers. Manuscript submitted for publication.
Seto, M. C. (2008). Pedophilia and sexual offending against children: Theory, assessment, and intervention. Washington, DC: American Psychological Association.CrossRef
Seto, M. C., & Lalumière, M. L. (2001). A brief screening scale to identify pedophilic interests among child molesters. Sexual Abuse: A Journal of Research and Treatment, 13, 15–25. doi:10.1023/A:1009510328588.
Spiering, M., & Everaerd, W. (2007). The sexual unconscious. In E. Janssen (Ed.), The psychophysiology of sex (pp. 166–184). Bloomington, IN: Indiana University Press.
*Steffens, M. C., Yundina, E., & Panning, M. (2008). Automatic associations with “erotic” in child sexual offenders: Identifying those in danger of reoffence. Sexual Offender Treatment, 3, 1–9.
*Thornton, D., McKee, R., & Ó Ciardha, C. (2009, October). Convergent and divergent validity of implicit measures of sexual interest among SVPs. Paper presented at the meeting of the Association for the Treatment of Sexual Abuse, Dallas, TX.
Tryon, W. W. (2001). Evaluating statistical significance difference, equivalence, and indeterminacy using inferential confidence intervals: An integrated alternative method of conducting null hypothesis statistical tests. Psychological Methods, 6, 371–386. doi:10.1037//1082-989x.6.4.371.PubMedCrossRef
*van Leeuwen, M. L., van Baaren, R. B., Chakhssi, F., Loonen, M. G. M., Lippman, M., & Dijksterhuis, A. (2011). Detecting implicit associations in non-incarcerated pedophiles: Exploring generalizability, specificity and behavior predictability. Manuscript submitted for publication.
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