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A Meta-Analysis of Viewing Time Measures of Sexual Interest in Children

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Abstract

Due to unobtrusiveness and ease of implementation, viewing time (VT) measures of sexual interest in children have sparked increasing research interest in forensic contexts over the last two decades. The current study presents two meta-analyses of VT measures adapted to assess pedophilic interest to determine their discrimination between sexual offenders against children (SOC) and non-SOC groups as well as convergent validity (associations with other measures of sexual interest in children). On average, VT measures showed moderate discrimination between criterion groups (fixed-effect d = 0.60, 95 % CI [0.51, 0.68], N = 2705, k = 14) and significant convergent validity with self-reports, penile plethysmography, Implicit Association Tests, and offence behavioral measures ranging from r = .18 to r = .38. VT measures, however, provided better discrimination for adults (fixed-effect d = 0.78, 95 % CI [0.64, 0.92]) than adolescent samples (fixed-effect d = 0.50, 95 % CI [0.40, 0.61]), Q between = 9.37, p = .002. Moreover, compared to absolute scores, using pedophilic difference scores within adult samples substantially increased VT measures’ validity (fixed-effect d = 1.03, 95 % CI [0.82, 1.25], N = 414, k = 7). Results are discussed in terms of their theoretical and applied implications for forensic contexts.

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Notes

  1. As opposed to task-irrelevant indirect measures wherein the primary task is the classification of non-sexual stimuli features, such as color, and sexual stimuli are construed as interfering distractors (for review, see Schmidt et al., 2015).

References

Asterisks (*) indicate studies included in the meta-analysis

  • Abel, G. G., Huffman, J., Warberg, B., & Holland, C. L. (1998). Visual reaction time and plethysmography as measures of sexual interest in child molesters. Sexual Abuse: A Journal of Research and Treatment, 10, 81–95. doi:10.1177/107906329801000202.

    Google Scholar 

  • *Abel, G. G., Jordan, A., Rouleau, J. L., Emerick, R., Barboza-Whitehead, S., & Osborn, C. (2004). Use of visual reaction time to assess male adolescents who molest children. Sexual Abuse: A Journal of Research and Treatment, 16, 255–265. doi:10.1177/107906320401600306.

    Google Scholar 

  • Abel, G. G., Lawry, S. S., Karlstrom, E., Osborn, C. A., & Gillespie, C. F. (1994). Screening tests for pedophilia. Criminal Justice and Behavior, 21, 115–131. doi:10.1177/0093854894021001008.

    Article  Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.

    Book  Google Scholar 

  • Babchishin, K. M., Nunes, K. L., & Hermann, C. (2013). The validity of Implicit Association Test (IAT) measures of sexual attraction to children: A meta-analysis. Archives of Sexual Behavior, 42, 489–499. doi:10.1007/s10508-012-0022-8.

    Article  Google Scholar 

  • Babchishin, K. M., Nunes, K. L., Hermann, C. A., & Malcom, J. R. (2015). Implicit sexual interest in children: does separating gender influence discrimination when using the Implicit Association Test? Journal of Sexual Aggression, 21, 194–208. doi:10.1080/13552600.2013.836575.

    Article  Google Scholar 

  • *Babchishin, K. M., Nunes, K. L., & Kessous, N. (2014). A multimodal examination of sexual interest in children. Sexual Abuse: A Journal of Research and Treatment, 26, 343–374. doi:10.1177/1079063213492343.

    Article  Google Scholar 

  • *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.

    Article  Google Scholar 

  • Blanchard, R., Kuban, M. E., Blak, T., Cantor, J. M., Klassen, P. E., & Dickey, R. (2009). Absolute versus relative ascertainment of pedophilia in men. Sexual Abuse: A Journal of Research and Treatment, 21, 431–441. doi:10.1177/1079063209347906.

    Google Scholar 

  • Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. New York: Wiley. doi:10.1002/9780470743386.

    Book  Google Scholar 

  • Brouillete-Alarie, S., Babchishin, K. M., Hanson, K. R., & Helmus, L.-M. (2016). Latent constructs of the Static-99R and Static-2002R: A three-factor solution. Assessment, 23, 96–111. doi:10.1177/1073191114568114.

    Article  Google Scholar 

  • Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6, 284–290. doi:10.1037/1040-3590.6.4.284.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New York: Routledge.

    Google Scholar 

  • Dahle, K.-P., Lehmann, R. J. B., & Richter, A. (2014). Die Screening Skala Pädophilen Tatverhaltens [The screening scale of pedophilic criminal behavior]. Forensische Psychiatrie, Psychologie, Kriminologie, 8, 208–215. doi:10.1007/s11757-014-0261-8.

    Article  Google Scholar 

  • Dombert, B., Schmidt, A. F., Banse, R., Briken, P., Hoyer, J., Neutze, J., & Osterheider, M. (2016). How common is males’ self-reported sexual interest in prepubescent children? Journal of Sex Research, 53, 214–223. doi:10.1080/00224499.2015.1020108.

    Article  PubMed  Google Scholar 

  • *Douroux, A. N. (2013). A comparison of the Screening Scale for Pedophilic Interest and the Abel Assessment for Sexual Interest-2 (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses. (UMI 3571179).

  • Ebsworth, M., & Lalumière, M. L. (2012). Viewing time as a measure of bisexual interest. Archives of Sexual Behavior, 41, 161–172. doi:10.1007/s10508-012-9923-9.

    Article  PubMed  Google Scholar 

  • *Fromberger, P., Jordan, K., Steinkrauss, H., von Herder, J., Witzel, J., Stolpmann, G., … Müller, J. L. (2012). Diagnostic accuracy of eye movements in assessing pedophilia. Journal of Sexual Medicine, 9, 1868–1882. doi:10.1111/j.1743-6109.2012.02754.x.

    Article  PubMed  Google Scholar 

  • Giotakis, O. (2005). A combination of viewing reaction time and incidental learning task in child molesters, rapists, and control males and females. Sexologies, 14, 13–20.

    Google Scholar 

  • *Glasgow, D. V. (2009). Affinity: The development of a self-report assessment of paedophile sexual interest incorporating a viewing time validity measure. In D. Thornton & D. R. Laws (Eds.), Cognitive approaches to the assessment of sexual interest in sexual offenders (pp. 59–84). Chichester: Wiley-Blackwell. doi:10.1002/9780470747551.ch3.

    Chapter  Google Scholar 

  • Gray, S. R., Abel, G. G., Jordan, A., Garby, T., Wiegel, M., & Harlow, N. (2015). Visual reaction time™ as a predictor of sexual offense recidivism. Sexual Abuse: A Journal of Research and Treatment, 27, 173–188. doi:10.1177/1079063213502680.

    Article  Google Scholar 

  • Gray, S. R., & Plaud, J. J. (2005). A comparison of the Abel Assessment for Sexual Interest and penile plethysmography in an outpatient sample of sexual offenders. Journal of Sexual Offender Civil Commitment: Science and Law, 1, 1–10.

    Google Scholar 

  • Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464–1480. doi:10.1037//0022-3514.74.6.1464.

    Article  PubMed  Google Scholar 

  • *Gress, C. L. Z. (2005). Viewing time measures and sexual interest: Another piece of the puzzle. Journal of Sexual Aggression, 11, 117–125. doi:10.1080/13552600500063666.

    Article  Google Scholar 

  • *Gress, C. L. Z., Anderson, J. O., & Laws, R. D. (2013). Delays in attentional processing when viewing sexual imagery: The development and comparison of two measures. Legal and Criminological Psychology, 18, 66–82. doi:10.1111/j.2044-8333.2011.02032.x.

    Article  Google Scholar 

  • Hanson, R. K., Harris, A. J. R., Scott, T. L., & Helmus, L. (2007). Assessing the risk of sexual offenders on community supervision: The Dynamic Supervision Project (User report #2007-05). Ottawa, ON: Public Safety Canada.

  • Hanson, R. K., & Morton-Bourgon, K. (2005). The characteristics of persistent sexual offenders: A meta-analysis of recidivism studies. Journal of Consulting and Clinical Psychology, 73, 1154–1163. doi:10.1037/0022-006X.73.6.1154.

    Article  PubMed  Google Scholar 

  • *Harris, G. T., Rice, M. E., Quinsey, V. L., & Chaplin, T. C. (1996). Viewing time as a measure of sexual interest among child molesters and normal heterosexual men. Behaviour Research and Therapy, 34, 389–394. doi:10.1016/0005-7967(95)00070-4.

    Article  PubMed  Google Scholar 

  • Harris, G. T., Rice, M. E., Quinsey, V. L., Chaplin, T. C., & Earls, C. (1992). Maximizing the discriminant validity of phallometric assessment data. Psychological Assessment, 4, 502–511. doi:10.1037/1040-3590.4.4.502.

    Article  Google Scholar 

  • Hasselblad, V., & Hedges, L. V. (1995). Meta-analysis of screening and diagnostic tests. Psychological Bulletin, 117, 167–178. doi:10.1037/0033-2909.117.1.167.

    Article  PubMed  Google Scholar 

  • Helmus, L., Hanson, R. K., Thornton, D., Babchishin, K. M., & Harris, A. J. (2012). Absolute recidivism rates predicted by Static-99R and Static-2002R sex offender risk assessment tools vary across samples—A meta-analysis. Criminal Justice and Behavior, 39, 1148–1171. doi:10.1177/0093854812443648.

    Article  Google Scholar 

  • Higgins, J., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327, 557–560. doi:10.1136/bmj.327.7414.557.

    Article  PubMed  PubMed Central  Google Scholar 

  • Imhoff, R., Schmidt, A. F., Nordsiek, U., Luzar, C., Young, A. W., & Banse, R. (2010). Viewing time effects revisited: Prolonged response latencies for sexually attractive targets under restricted task conditions. Archives of Sexual Behavior, 39, 1275–1288. doi:10.1007/s10508-009-9595-2.

    Article  PubMed  Google Scholar 

  • Imhoff, R., Schmidt, A. F., Weiß, S., Young, A. W., & Banse, R. (2012). Vicarious viewing time: Prolonged response latencies for sexually attractive targets as a function of task- or stimulus-specific processing. Archives of Sexual Behavior, 41, 1389–1401. doi:10.1007/s10508-011-9879-1.

    Article  PubMed  Google Scholar 

  • Israel, E., & Strassberg, D. S. (2009). Viewing time as an objective measure of sexual interest in heterosexual men and women. Archives of Sexual Behavior, 38, 551–558. doi:10.1007/s10508-007-9246-4.

    Article  PubMed  Google Scholar 

  • Kalmus, E., & Beech, A. R. (2005). Forensic assessment of sexual interest: A review. Aggression and Violent Behavior, 10, 193–218. doi:10.1016/j.avb.2003.12.002.

    Article  Google Scholar 

  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174. doi:10.1016/j.chiabu.2008.07.004.

    Article  PubMed  Google Scholar 

  • *Lanham, D. (2011). The sensitivity and specificity of phallometric assessment and the Abel Assessment for Sexual Interest among a group of sexual offenders against children and other sexual offenders (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses (UMI 3501894).

  • Larue, D., Schmidt, A. F., Imhoff, R., Eggers, K., Schönbrodt, F., & Banse, R. (2014). Validation of direct and indirect measures of preference for sexualized violence. Psychological Assessment, 26, 1173–1183. doi:10.1037/pas0000016.

    Article  PubMed  Google Scholar 

  • Laws, D. (2009). Penile plethysmography: Strengths, limitations, innovations. In D. Thornton & D. R. Laws (Eds.), Cognitive approaches to the assessment of sexual interest in sexual offenders (pp. 7–29). Chichester: Wiley-Blackwell. doi:10.1002/9780470747551.ch1.

    Chapter  Google Scholar 

  • Lehmann, R. J. B., Goodwill, A. M., Hanson, R. K., & Dahle, K.-P. (2014). Crime scene behaviors indicate risk-relevant propensities of child molesters. Criminal Justice and Behavior, 41, 1008–1028. doi:10.1177/0093854814521807.

    Article  Google Scholar 

  • *Letourneau, E. J. (2002). A comparison of objective measures of sexual arousal and interest: Visual reaction time and penile plethysmography. Sexual Abuse: A Journal of Research and Treatment, 14, 207–223. doi:10.1177/107906320201400302.

    Google Scholar 

  • Lippa, R. A. (2012). Effects of sex and sexual orientation on self-reported attraction and viewing times to images of men and women: Testing for category specificity. Archives of Sexual Behavior, 41, 149–160. doi:10.1007/s10508-011-9898-y.

    Article  PubMed  Google Scholar 

  • *Loewinger Cloyd, L. (2007). Relationship between key variables in penile plethysmograph and viewing time measures of sexual arousal in sex offending adult males (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses (UMI 3295152).

  • *Mackaronis, J. (2014). Adolescent sexual offending: Assessing sexual interest and exploring treatment trajectories and outcome (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses (UMI 3614435).

  • Mann, R. E., Hanson, K. R., & Thornton, D. (2010). Assessing risk for sexual recidivism: Some proposals on the nature of psychologically meaningful risk factors. Sexual Abuse: A Journal of Research and Treatment, 22, 191–217. doi:10.1177/1079063210366039.

    Article  Google Scholar 

  • McGrath, R. J., Cumming, G. F., Burchard, B. L., & Ellerby, L. (2010). Current practices and trends in sexual abuser management: The Safer Society 2009 nationwide survey. Brandon, VT: The Safer Society Press.

    Google Scholar 

  • *Mokros, A., Gebhard, M., Heinz, V., Marschall, R. W., Nitschke, J., Glasgow, D. V., … Laws, R. D. (2013). Computerized assessment of pedophilic sexual interest through self-report and viewing time: Reliability, validity, and classification accuracy of the Affinity program. Sexual Abuse: A Journal of Research and Treatment, 25, 230–258. doi: 10.1177/1079063212454550.

  • Perugini, M., Richetin, J., & Zogmaister, C. (2010). Prediction of behavior. In B. Gawronski & B. K. Payne (Eds.), Handbook of social cognition: Measurement, theory, and applications (pp. 255–277). New York: Guilford.

    Google Scholar 

  • Pohl, A., Wolters, A., & Ponseti, J. (2015). Investigating the task dependency of viewing time effects. Journal of Sex Research. doi:10.1080/00224499.2015.1089429.

    PubMed  Google Scholar 

  • Prentky, R., & Barbaree, H. (2011). Commetary: Hebephilia—A would-be paraphilia caught in the twilight zone between prepubescence and adulthood. Journal of the American Academy of Psychiatry and the Law, 39, 506–510.

    PubMed  Google Scholar 

  • Quinsey, V. L., Harris, G. T., Rice, M. E., & Cormier, C. A. (1998). Violent offenders: Appraising and managing risk. Washington, DC: American Psychological Association. doi:10.1037/10304-000.

    Book  Google Scholar 

  • Quinsey, V. L., Ketsetzis, M., Earls, C., & Karamanoukian, A. (1996). Viewing time as a measure of sexual interest. Ethology and Sociobiology, 17, 341–354. doi:10.1016/S0162-3095(96)00060-X.

    Article  Google Scholar 

  • Rice, M. E., Harris, G. T., Lang, C., & Chaplin, T. C. (2012). Adolescents who have sexually offended is phallometry valid? Sexual Abuse: A Journal of Research and Treatment, 24, 133–152. doi:10.1177/1079063211404249.

    Article  Google Scholar 

  • Rönspies, J., Schmidt, A. F., Melnikova, A., Krumova, R., Zolfagari, A., & Banse, R. (2015). Indirect measurement of sexual orientation—Comparison of the implicit relational assessment procedure, viewing time, and choice reaction time tasks. Archives of Sexual Behavior, 44, 1483–1492. doi:10.1007/s10508-014-0473-1.

    Article  PubMed  Google Scholar 

  • Rosenzweig, S. (1942). The photoscope as an objective device for evaluating sexual interest. Psychosomatic Medicine, 4, 150–158.

    Article  Google Scholar 

  • Ryan, E. P. (2016). Juvenile sex offenders. Child and Adolescent Psychiatric Clinics of North America, 25, 81–97. doi:10.1016/j.chc.2015.08.010.

    Article  PubMed  Google Scholar 

  • Schmidt, A. F., Banse, R., & Imhoff, R. (2015). Indirect measures in forensic contexts. In T. M. Ortner & F. J. R. van de Vijver (Eds.), Behavior-based assessment in psychology: Going beyond self-report in the personality, affective, motivation, and social domains (pp. 173–194). Göttingen: Hogrefe.

    Google Scholar 

  • *Schmidt, A. F., Bonus, P., & 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, Germany.

  • *Schmidt, A. F., Gykiere, K., Vanhoeck, K., Mann, R. E., & Banse, R. (2014a). Direct and indirect measures of sexual maturity preferences differentiate subtypes of child sexual abusers. Sexual Abuse: A Journal of Research and Treatment, 26, 107–128. doi:10.1177/1079063213480817.

    Article  Google Scholar 

  • Schmidt, A. F., Imhoff, R., & Banse, R. (2014b, June). Viewing time as a measure of sexual interest: A causal explanation of the effect. Poster presented at the meeting of the International Academy of Sex Research, Porto, Portugal.

  • Schmidt, A. F., Mokros, A., & Banse, R. (2013). Is pedophilic sexual preference continuous? A taxometric analysis based on direct and indirect measures. Psychological Assessment, 25, 1146–1153. doi:10.1037/a0033326.

    Article  PubMed  Google Scholar 

  • Schulze, R. (2007). Current methods for meta-analysis: Approaches, issues, and developments. Zeitschrift für Psychologie/Journal of Psychology, 215, 90–103. doi:10.1027/0044-3409.215.2.90.

    Article  Google Scholar 

  • Seto, M. C. (2009). Pedophilia. Annual Review of Clinical Psychology, 5, 391–407. doi:10.1146/annurev.clinpsy.032408.153618.

    Article  PubMed  Google Scholar 

  • Seto, M. C. (2010). Child pornography use and internet solicitation in the diagnosis of pedophilia. Archives of Sexual Behavior, 39, 591–593. doi:10.1007/s10508-010-9603-6.

    Article  PubMed  Google Scholar 

  • 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:10.1177/107906320101300103.

    Google Scholar 

  • Seto, M. C., Murphy, W. D., Page, J., & Ennis, L. (2003). Detecting anomalous sexual interests in juvenile sex offenders. Annals of the New York Academy of Sciences, 989, 118–130. doi:10.1111/j.1749-6632.2003.tb07298.x.

    Article  PubMed  Google Scholar 

  • Seto, M. C., Stephens, S., Lalumière, M. L., & Cantor, J. M. (2015). The Revised Screening Scale for Pedophilic Interests (SSPI–2): Development and criterion-related validation. Sexual Abuse: A Journal of Research and Treatment. doi:10.1177/1079063215612444.

    Google Scholar 

  • *Stinson, J. D., & Becker, J. V. (2008). Assessing sexual deviance: A comparison of physiological, historical, and self-report measures. Journal of Psychiatric Practice, 14, 379–388. doi:10.1097/01.pra.0000341892.51124.85.

    Article  PubMed  Google Scholar 

  • *Weiß, S., Massau, C., Kärgel, C., & Schiffer, B. (2014). Comparing and combining various latency-based indirect measures of sexual interest. Poster presented at the Research Conference of the Association for the Treatment of Sexual Abuse (ATSA), San Diego, CA.

  • *Worling, J. R. (2006). Assessing sexual arousal with adolescent males who have offended sexually: Self-report and unobtrusively measured viewing time. Sexual Abuse: A Journal of Research and Treatment, 18, 383–400. doi:10.1177/107906320601800406.

    Google Scholar 

  • Zamansky, H. S. (1956). A technique for measuring homosexual tendencies. Journal of Personality, 24, 436–448. doi:10.1111/j.1467-6494.1956.tb01280.x.

    Article  PubMed  Google Scholar 

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Acknowledgments

This project was funded in part by a grant from the Canadian Institutes for Health Research Banting Fellowship awarded to Kelly M. Babchishin.

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Alexander F. Schmidt is coauthor of the Explicit and Implicit Sexual Interest Profile (EISIP; Banse, Schmidt, & Clarbour, 2010) and promotes its non-commercial use for research purposes. Kelly M. Babchishin and Robert J. B. Lehmann declare no conflicts of interest.

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This article is a secondary meta-analysis of data from research that has been published before. Hence, no human participants have been tested for the purpose of the present research.

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Schmidt, A.F., Babchishin, K.M. & Lehmann, R.J.B. A Meta-Analysis of Viewing Time Measures of Sexual Interest in Children. Arch Sex Behav 46, 287–300 (2017). https://doi.org/10.1007/s10508-016-0806-3

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