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Incremental and Predictive Validity of the Antisocial Process Screening Device in a Community Sample of Male and Female Ethnic Minority and Caucasian Youth

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Abstract

The Antisocial Process Screening Device (APSD) is a well-supported tool for assessing psychopathic features in youth. However, most research with the APSD has been derived from clinical and forensic samples comprised mainly of male Caucasian and African American adolescents. In this prospective study, the incremental and predictive validity of the self-report APSD for violent and non-violent offending was examined in an ethnically diverse community sample of male and female youth (N = 335) aged 12 to 14. High-school students from a moderate sized city in Western Canada completed the self-report APSD and then completed the Self-Report of Offending 6 months later. Receiver Operating Characteristics analysis indicated that APSD total and subscale scores were predictive of violent and non-violent offending at 6-month follow-up with moderate to large effect sizes. In addition, total scores on the APSD added incremental predictive utility above and beyond traditional criminogenic predictors of youth offending (i.e., prior offending, delinquent peer affiliation, poor school achievement, substance use, low parental monitoring). Although sex differences emerged in the predictive utility of the Impulsivity subscale of the APSD vis-à-vis violent offending, sex did not moderate the relationship between APSD total, Narcissism, or Callous/Unemotional scores and offending. In addition, the predictive utility of the APSD did not vary as a function of the youth’s ethnic background. These findings suggest that: (1) the self-report APSD may have utility for risk or threat assessment with normative school populations, (2) APSD findings from higher risk samples generalize to a lower risk sample of high-school youth, and (3) predictive utility of APSD total scores do not differ across male and female Caucasian and ethnic minority youth.

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Notes

  1. Several analyses were conducted to determine whether there were any differences between youth with complete information and youth with missing follow-up, APSD, ethnicity, or school failure variables with respect to demographic characteristics or the major study variables under investigation. Compared to youth with complete information, youth with missing follow-up data were significantly older, t (78.61) = 4.12, p < 0.001, Cohen’s d = 0.61, youth with missing ethnicity information had higher rates of school failure, χ2 (1) = 8.44, p = 0.004, φ = 0.15, and self-reported violent offending at the 6-month follow-up, U = 7505, p = 0.01, r = 0.14, and youth with missing school failure information had lower rates of delinquent peer affiliation, t (83.17) = −1.37, p = 0.002, Cohen’s d = 0.65. No other differences were significant.

  2. Although Caucasian youth are technically an ethnic minority group in the current sample, in this paper the term ethnic minority was used to refer to any youth that were non-Caucasian.

  3. The most frequently reported violent offense was having been in a fight (17.7 %, n = 59). Given that participating in a fight may not necessarily be an offence (especially when fighting is in self-defense), one concern was that the inclusion of this SRO item may have inflated the rate of violent offending in the sample. Analyses were run with and without this item. Bivariate and predictive validity analyses did not significantly change as a function of this item. However, incremental validity analyses revealed that the incremental effects of psychopathic features disappeared.

  4. To represent ethnicity, three dummy variables were created using South Asian as the reference category: Asian (1 = yes, 0 = no); Caucasian (1 = yes, 0 = no); and ‘Other’ ethnic minority (1 = yes, 0 = no).

  5. A priori power analyses using G*Power 3.1 (Faul et al. 2009) indicated that a sample size of 335 was sufficient to detect small to large main and incremental effects in Poisson/Negative binomial regression models with 11 predictors with a power of 0.80, and an alpha of 0.05, two-tailed.

  6. Given the potential for criterion contamination between the baseline measure of substance use and the substance abuse item on the SRO (e.g., did you drive while drunk or high?), regression analyses were run with and without this item. Analyses did not significantly change as a function of this item.

  7. We also analyzed the relationship between APSD scores and the occurrence of the combination of violent or non-violent offense (i.e., “any offense”) at the 6-month follow-up using bivariate, multivariate regression, and ROC analyses. The results of these analyses were highly similar to both violent and non-violent offending. These results are available from the lead author upon request.

  8. A priori power analyses in STATA (StataCorp 2011) indicated that the minimum detectable incident rate ratio for the cross-product terms in the violent and non-violent offending models after controlling for first ordered effects were 1.60 and 2.21, respectively.

  9. To test the moderating effects of ethnicity each of the dummy categories created in the previous analysis and APSD score were entered in step 1, followed by cross-product terms between each dummy category and APSD score in step 2.

  10. Several interactions trended towards significance for violent offending: Other Ethnic Group × APSD Total, Exp (B) = 1.16, 95 % CI [1.00, 1.35], p = 0.05, and Other Ethnic Group × CU, Exp (B) = 1.55, 95 % CI [0.92, 2.59], p = 0.097. For non-violent, Asian × IMP trended towards significance, Exp (B) = 0.53, 95 % CI [0.27, 1.07], p = 0.077.

References

  • Ansel, L. L., Barry, C. T., Gillen, C. T., & Herrington, L. L. (2014). An analysis of four self-report measures of adolescent callous-unemotional traits: Exploring unique prediction of delinquency, aggression, and conduct problems. Journal of Psychopathology and Behavioral Assessment Advance online publication, 1–10. doi:10.1007/s10862-014-9460-z.

  • Arrigo, B. A., & Shipley, S. (2001). The confusion over psychopathy (I): historical considerations. International Journal of Offender Therapy and Comparative Criminology, 45, 325–344. doi:10.1177/0306624X01453005.

    Article  Google Scholar 

  • Baker, J. R., & Yardley, J. K. (2002). Moderating effect of gender on the relationship between sensation seeking-impulsivity and substance use in adolescents. Journal of Child & Adolescent Substance Abuse, 12, 27–43. doi:10.1300/J029v12n01_02.

    Article  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182. doi:10.1037/0022-3514.51.6.1173.

    Article  PubMed  Google Scholar 

  • Barry, C. T., Frick, P. J., & Killian, A. L. (2003). The relation of narcissism and self-esteem to conduct problems in children: a preliminary investigation. Journal of Clinical Child and Adolescent Psychology, 32, 139–152. doi:10.1207/S15374424JCCP3201_13.

    Article  PubMed  Google Scholar 

  • Bosworth, K., & Espelage, D. (1995). Teen conflict survey. Bloomington, IN: Center for Adolescent Studies, Indiana University.

    Google Scholar 

  • Bottcher, J. (1995). Gender as social control: a qualitative study of incarcerated youth and their siblings in greater Sacramento. Justice Quarterly, 12, 33–57. doi:10.1080/07418829500092561.

    Article  Google Scholar 

  • Breuk, R. D., Clauser, C. A. C., Stams, G. J. J. M., Slot, N. W., & Doreleijers, T. A. H. (2007). The validity of questionnaire self-report of psychopathology and parent–child relationship quality in juvenile delinquents with psychiatric disorders. Journal of Adolescence, 30, 761–771. doi:10.1016/j.adolescence.2006.10.003.

    Article  PubMed  Google Scholar 

  • Budhani, S., & Blair, R. J. R. (2005). Response reversal and children with psychopathic tendencies: success is a function of salience of contingency change. Journal of Child Psychology and Psychiatry, 46, 972–981. doi:10.1111/j.1469-7610.2004.00398.x.

    Article  PubMed  Google Scholar 

  • Caputo, A. A., Frick, P. J., & Brodsky, S. L. (1999). Family violence and juvenile sex offending: the potential mediating role of psychopathic traits and negative attitudes toward women. Criminal Justice and Behavior, 26, 338–356. doi:10.1177/0093854899026003004.

    Article  Google Scholar 

  • Chung, H. L., & Steinberg, L. (2006). Relations between neighborhood factors, parenting behaviors, peer deviance, and delinquency among serious juvenile offenders. Developmental Psychology, 42, 319–331. doi:10.1037/0012-1649.42.2.319.

    Article  PubMed  PubMed Central  Google Scholar 

  • Colins, O. F., Bijttebier, P., Broekaert, E., & Andershed, H. (2014). Psychopathic-like traits among detained female adolescents: reliability and validity of the antisocial process screening device and the youth psychopathic traits inventory. Assessment, 21, 195–209. doi:10.1177/1073191113481997.

    Article  PubMed  Google Scholar 

  • Cooke, D. J., & Michie, C. (2001). Refining the construct of psychopathy: towards a hierarchical model. Psychological Assessment, 13, 171–188. doi:10.1037/1040-3590.13.2.171.

    Article  PubMed  Google Scholar 

  • da Silva, D. R., Rijo, D., & Salekin, R. T. (2013). Child and adolescent psychopathy: assessment issues and treatment needs. Aggression and Violent Behavior, 18, 71–78. doi:10.1016/j.avb.2012.10.003.

    Article  Google Scholar 

  • Dillard, C. L., Salekin, R. T., Barker, E. D., & Grimes, R. D. (2013). Psychopathy in adolescent offenders: an item response theory study of the antisocial process screening device–self report and the psychopathy checklist: youth version. Personality Disorders: Theory, Research, and Treatment, 4, 101–120. doi:10.1037/a0028439.

    Article  Google Scholar 

  • Dodge, K. A., & Pettit, G. S. (2003). A biopsychosocial model of the development of chronic conduct problems in adolescence. Developmental Psychology, 39, 349–371. doi:10.1037/0012-1649.39.2.349.

    Article  PubMed  PubMed Central  Google Scholar 

  • Douglas, K. S., Epstein, M. E., & Poythress, N. G. (2008). Criminal recidivism among juvenile offenders: testing the incremental and predictive validity of three measures of psychopathic features. Law and Human Behavior, 32, 423–438. doi:10.1007/s10979-007-9114-8.

    Article  PubMed  Google Scholar 

  • Edens, J. F., Skeem, J. L., Cruise, K. R., & Cauffman, E. (2001). Assessment of “juvenile psychopathy” and its association with violence: a critical review. Behavioral Sciences & the Law, 19, 53–80. doi:10.1002/bsl.425.abs.

    Article  Google Scholar 

  • Edens, J. F., Campbell, J. S., & Weir, J. M. (2007). Youth psychopathy and criminal recidivism: a meta-analysis of the psychopathy checklist measures. Law and Human Behavior, 31, 53–75. doi:10.1007/s10979-006-9019-y.

    Article  PubMed  Google Scholar 

  • Essau, C. A., Sasagawa, S., & Frick, P. J. (2006). Callous-unemotional traits in a community sample of adolescents. Assessment, 13, 454–469. doi:10.1177/1073191106287354.

    Article  PubMed  Google Scholar 

  • Fagan, A. A., Van Horn, M. L., Hawkins, J. D., & Arthur, M. (2007). Gender similarities and differences in the association between risk and protective factors and self-reported serious delinquency. Prevention Science, 8, 115–124. doi:10.1007/s11121-006-0062-1.

    Article  PubMed  Google Scholar 

  • Falkenbach, D. M., Poythress, N. G., & Heide, K. M. (2003). Psychopathic features in a juvenile diversion population: reliability and predictive validity of two self-report measures. Behavioral Sciences & the Law, 21, 787–805. doi:10.1002/bsl.562.

    Article  Google Scholar 

  • Farrington, D. P. (1998). Predictors, causes and correlates of male youth violence. In M. Tonry, & M. Moore (Eds.), Youth violence (pp. 421–475). Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*power 3.1: tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160. doi:10.3758/brm.41.4.1149.

    Article  PubMed  Google Scholar 

  • Forth, A. E., Kosson, D. S., & Hare, R. D. (2003). The psychopathy checklist: youth version. Toronto, ON: Multi Health Systems.

    Google Scholar 

  • Frick, P. J. (2009). Extending the construct of psychopathy to youth: implications for understanding, diagnosing, and treating antisocial children and adolescents. The Canadian Psychiatric Association Journal/La Revue De l'Association Des Psychiatres Du Canada, 54, 803–812. Retrieved from http://labs.uno.edu/developmental-psychopathology/articles/Frick,_2009,_Extending_the_Construct_of_Psychopathy_to_Youth.pdf

  • Frick, P. J., & Dickens, C. (2006). Current perspectives on conduct disorder. Current Psychiatry Reports, 8, 59–72. doi:10.1007/s11920-006-0082-3.

    Article  PubMed  Google Scholar 

  • Frick, P. J., & Hare, R. D. (2001). Antisocial process screening device. Toronto, ON: Multi-Health Systems.

    Google Scholar 

  • Frick, P. J., O'Brien, B. S., Wootton, J. M., & McBurnett, K. (1994). Psychopathy and conduct problems in children. Journal of Abnormal Psychology, 103, 700–707. doi:10.1037/0021-843X.103.4.700.

    Article  PubMed  Google Scholar 

  • Frick, P. J., Bodin, S. D., & Barry, C. T. (2000). Psychopathic traits and conduct problems in community and clinic-referred samples of children: further development of the psychopathy screening device. Psychological Assessment, 12, 382–393. doi:10.1037/1040-3590.12.4.382.

    Article  PubMed  Google Scholar 

  • Frick, P. J., Stickle, T. R., Dandreaux, D. M., Farrell, J. M., & Kimonis, E. R. (2005). Callous-unemotional traits in predicting the severity and stability of conduct problems and delinquency. Journal of Abnormal Child Psychology, 33, 471–487. doi:10.1007/s10648-005-5728-9.

    Article  PubMed  Google Scholar 

  • Gadermann, A. M., Guhn, M., & Zumbo, B. D. (2012). Estimating ordinal reliability for likert-type and ordinal item response data: a conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17, 1–13.

    Google Scholar 

  • Gardner, W., Mulvey, E. P., & Shaw, E. C. (1995). Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychological Bulletin, 118, 392–404. doi:10.1037/0033-2909.118.3.392.

    Article  PubMed  Google Scholar 

  • Haas, S. M., Waschbusch, D. A., Pelham Jr., W. E., King, S., Andrade, B. F., & Carrey, N. J. (2011). Treatment response in CP/ADHD children with callous/unemotional traits. Journal of Abnormal Child Psychology, 39, 541–552. doi:10.1007/s10802-010-9480-4.

    Article  PubMed  Google Scholar 

  • Hare, R. (2003). Manual for the hare psychopathy checklist. Toronto, ON: Multi-Health Systems.

    Google Scholar 

  • Huizinga, D., Esbensen, F., & Weiher, A. (1991). Are there multiple pathways to delinquency? Denver youth survey. The Journal of Criminal Law and Criminology, 82, 83–118. doi:10.2307/1143790.

    Article  Google Scholar 

  • Kimonis, E. R., Frick, P. J., Boris, N. W., Smyke, A. T., Cornell, A. H., Farrell, J. M., & Zeanah, C. H. (2006a). Callous-unemotional features, behavioral inhibition, and parenting: independent predictors of aggression in a high-risk preschool sample. Journal of Child and Family Studies, 15, 745–756. doi:10.1007/s10826-006-9047-8.

    Article  Google Scholar 

  • Kimonis, E. R., Frick, P. J., Fazekas, H., & Loney, B. R. (2006b). Psychopathy, aggression, and the processing of emotional stimuli in non-referred girls and boys. Behavioral Sciences & the Law, 24, 21–37. doi:10.1002/bsl.668.

    Article  Google Scholar 

  • Kimonis, E. R., Frick, P. J., Skeem, J. L., Marsee, M. A., Cruise, K., Muñoz, L. C., et al. (2008). Assessing callous–unemotional traits in adolescent offenders: validation of the inventory of callous–unemotional traits. International Journal of Law and Psychiatry, 31, 241–252. doi:10.1016/j.ijlp.2008.04.002.

    Article  PubMed  Google Scholar 

  • Knight, G. P., Little, M., Losoya, S. H., & Mulvey, E. P. (2004). The self-report of offending among serious juvenile offenders cross-gender, cross-ethnic/race measurement equivalence. Youth Violence and Juvenile Justice, 2, 273–295. doi:10.1177/154120400426587.

    Article  PubMed  PubMed Central  Google Scholar 

  • Krueger, R. F., Schmutte, P. S., Caspi, A., Moffitt, T. E., Campbell, K., & Silva, P. A. (1994). Personality traits are linked to crime among men and women: evidence from a birth cohort. Journal of Abnormal Psychology, 103, 328–338. doi:10.1037//0021-843x.103.2.328.

    Article  PubMed  Google Scholar 

  • Laajasalo, T., Aronen, E. T., Saukkonen, S., Salmi, V., Aaltonen, M., & Kivivuori, J. (2014). To tell or not to tell? Psychopathic traits and response integrity in youth delinquency surveys. Criminal Behaviour and Mental Health Advance online publication, 1–13. doi:10.1002/cbm.1940.

  • Lee, Z., Vincent, G. M., Hart, S. D., & Corrado, R. R. (2003). The validity of the antisocial process screening device as a self-report measure of psychopathy in adolescent offenders. Behavioral Sciences & the Law, 21, 771–786. doi:10.1002/bsl.561.

    Article  Google Scholar 

  • Lilienfeld, S. O., & Fowler, K. A. (2006). The self-report assessment of psychopathy: problems, pitfalls, and promises. In C. J. Patrick (Ed.), Handbook of psychopathy (pp. 107–132). New York, NY: Guilford Press.

    Google Scholar 

  • Loeber, R., & Farrington, D. P. (2000). Young children who commit crime: epidemiology, developmental origins, risk factors, early interventions, and policy implications. Development and Psychopathology, 12, 737–762. doi:10.1017/s0954579400004107.

    Article  PubMed  Google Scholar 

  • Loeber, R., & Hay, D. (1997). Key issues in the development of aggression and violence from childhood to early adulthood. Annual Review of Psychology, 48, 371–410. doi:10.1146/annurev.psych.48.1.371.

    Article  PubMed  Google Scholar 

  • Marsee, M. A., Silverthorn, P., & Frick, P. J. (2006). The association of psychopathic traits with aggression and delinquency in non-referred boys and girls. Behavioral Sciences & the Law, 23, 803–817. doi:10.1002/bsl.662.

    Article  Google Scholar 

  • Marsh, A., Finger, E., Mitchell, D., Ried, M., Sims, C., Kosson D., … & Blair, R.J.R (2008). Reduced amygdala response to fearful expressions in children and adolescents with callous-unemotional traits and disruptive behavior disorders. American Journal of Psychiatry, 165, 712–720. doi:10.1176/appi.ajp.2007.07071145.

  • McDonald, R., Dodson, M. C., Rosenfield, D., & Jouriles, E. N. (2011). Effects of a parenting intervention on features of psychopathy in children. Journal of Abnormal Child Psychology, 39, 1013–1023. doi:10.1007/s10802-011-9512-8.

    Article  PubMed  Google Scholar 

  • McMahon, R. J., Witkiewitz, K., & Kotler, J. S. (2010). Predictive validity of callous–unemotional traits measured in early adolescence with respect to multiple antisocial outcomes. Journal of Abnormal Psychology, 119, 752–763. doi:10.1037/a0020796.

    Article  PubMed  PubMed Central  Google Scholar 

  • Metz, C. E. (1986). ROC methodology in radiologic imaging. Investigative Radiology, 21, 720–733. doi:10.1097/00004424-198609000-00009.

    Article  PubMed  Google Scholar 

  • Monahan, K. C., Steinberg, L., Cauffman, E., & Mulvey, E. P. (2009). Trajectories of antisocial behavior and psychosocial maturity from adolescence to young adulthood. Developmental Psychology, 45, 1654–1668. doi:10.1037/a0015862.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mulder, E., Brand, E., Bullens, R., & Van Marle, H. (2010). Risk factors for overall recidivism and severity of recidivism in serious juvenile offenders. International Journal of Offender Therapy and Comparative Criminology. doi:10.1177/0306624x09356683.

    Google Scholar 

  • Muñoz, L. C., & Frick, P. J. (2007). The reliability, stability, and predictive utility of the Self report version of the antisocial process screening device. Scandinavian Journal of Psychology, 48, 299–312. doi:10.1111/j.1467-9450.2007.00560.x.

    Article  PubMed  Google Scholar 

  • Murrie, D. C., & Cornell, D. G. (2002). Psychopathy screening of incarcerated juveniles: a comparison of measures. Psychological Assessment, 14, 390–396. doi:10.1037/1040-3590.14.4.390.

    Article  PubMed  Google Scholar 

  • Murrie, D. C., Cornell, D. G., Kaplan, S., McConville, D., & Levy-Elkon, A. (2004). Psychopathy scores and violence among juvenile offenders: a multi-measure study. Behavioral Sciences & the Law, 22, 49–67. doi:10.1002/bsl.573.

    Article  Google Scholar 

  • Neumann, A., Barker, E. D., Koot, H. M., & Maughan, B. (2010). The role of contextual risk, impulsivity, and parental knowledge in the development of adolescent antisocial behavior. Journal of Abnormal Psychology, 119, 534–545. doi:10.1037/a0019860.

    Article  PubMed  Google Scholar 

  • Poythress, N. G., Dembo, R., Wareham, J., & Greenbaum, P. E. (2006a). Construct validity of the youth psychopathic traits inventory (YPI) and the antisocial process screening device (APSD) with justice-involved adolescents. Criminal Justice and Behavior, 33, 26–55. doi:10.1177/0093854805282518.

    Article  Google Scholar 

  • Poythress, N. G., Douglas, K. S., Falkenbach, D., Cruise, K., Lee, Z., Murrie, D. C., & Vitacco, M. (2006b). Internal consistency reliability of the self-report antisocial process screening device. Assessment, 13, 107–113. doi:10.1177/1073191105284279.

    Article  PubMed  Google Scholar 

  • R Core Team. (2014). R: A Language and Environment for Statistical Computing Reference Index. Retrieved from http://web.mit.edu/r_v3.0.1/fullrefman.pdf

  • Ramirez, J. R., Crano, W. D., Quist, R., Burgoon, M., Alvaro, E. M., & Grandpre, J. (2004). Acculturation, familism, parental monitoring, and knowledge as predictors of marijuana and inhalant use in adolescents. Psychology of Addictive Behaviors, 18, 3–11. doi:10.1037/0893-164x.18.1.3.

    Article  PubMed  Google Scholar 

  • Rice, M., & Harris, G. (2005). Comparing effect sizes in follow-up studies: ROC area, Cohen's d, and r. Law and Human Behavior, 29, 615–620. doi:10.1007/s10979-005-6832-7.

    Article  PubMed  Google Scholar 

  • Salekin, R. T. (2008). Psychopathy and recidivism from mid-adolescence to young adulthood: cumulating legal problems and limiting life opportunities. Journal of Abnormal Psychology, 117, 386–395. doi:10.1037/0021-843x.117.2.386.

    Article  PubMed  Google Scholar 

  • Salekin, R. T., Leistico, A. R., Neumann, C. S., DiCicco, T. M., & Duros, R. L. (2004). Psychopathy and comorbidity in a young offender sample: taking a closer look at psychopathy's potential importance over disruptive behavior disorders. Journal of Abnormal Psychology, 113, 416–427. doi:10.1037/0021-843X.113.3.416.

    Article  PubMed  Google Scholar 

  • Spain, S. E., Douglas, K. S., Poythress, N. G., & Epstein, M. (2004). The relationship between psychopathic features, violence and treatment outcome: the comparison of three youth measures of psychopathic features. Behavioral Sciences & the Law, 22, 85–102. doi:10.1002/bsl.576.

    Article  Google Scholar 

  • StataCorp (2011). Stata statistical software: release 12. In College station. TX: StataCorp LP.

    Google Scholar 

  • Stevens, J. P. (1984). Outliers and influential data points in regression. Psychological Bulletin, 95, 334–344. doi:10.1037//0033-2909.95.2.334.

    Article  Google Scholar 

  • Stickle, T. R., Marini, V. A., & Thomas, J. N. (2012). Gender differences in psychopathic traits, types, and correlates of aggression among adjudicated youth. Journal of Abnormal Child Psychology, 40, 513–525. doi:10.1007/s10802-011-9588-1.

    Article  PubMed  Google Scholar 

  • Swahn, M. H., Bossarte, R., Palmier, J., & Yao, H. (2013). Co-occurring physical fighting and suicide attempts among US high school students: examining patterns of early alcohol use initiation and current binge drinking. Western Journal of Emergency Medicine, 14, 341–346. doi:10.5811/westjem.2013.3.15705.

    Article  PubMed  PubMed Central  Google Scholar 

  • Swets, J. A., Dawes, R. M., & Monahan, J. (2000). Psychological science can improve diagnostic decisions. Psychological Science in the Public Interest, 1, 1–26. doi:10.1111/1529-1006.001.

    Article  PubMed  Google Scholar 

  • Thornberry, T. P., Lizotte, A. J., Krohn, M. D., Farnworth, M., & Jang, S. J. (1994). Delinquent peers, beliefs, and delinquent behavior: a longitudinal test of interactional theory. Criminology, 32, 47–83. doi:10.1111/j.1745-9125.1994.tb01146.x.

    Article  Google Scholar 

  • Thornton, L. C., Frick, P. J., Crapanzano, A. M., & Terranova, A. M. (2013). The incremental utility of callous-unemotional traits and conduct problems in predicting aggression and bullying in a community sample of boys and girls. Psychological Assessment, 25, 366–378. doi:10.1037/a0031153.

    Article  PubMed  Google Scholar 

  • Van Belle, G., Fisher, L. D., Heagerty, P. J., & Lumley, T. (2004). Biostatistics: A methodology for the health sciences. Hoboken, NJ: John Wiley & Sons.

    Book  Google Scholar 

  • Vaughn, M. G., Newhill, C. E., DeLisi, M., Beaver, K. M., & Howard, M. O. (2008). An investigation of psychopathic features among delinquent girls: violence, theft, and drug abuse. Youth Violence and Juvenile Justice, 6, 240–255. doi:10.1177/1541204007312298.

    Article  Google Scholar 

  • Viljoen, J. L., MacDougall, E. A. M., Gagnon, N. C., & Douglas, K. S. (2010a). Psychopathy evidence in legal proceedings involving adolescent offenders. Psychology, Public Policy, and Law, 16, 254–283. doi:10.1037/a0019649.

    Article  Google Scholar 

  • Viljoen, J. L., McLachlan, K., & Vincent, G. M. (2010b). Assessing violence risk and psychopathy in juvenile and adult offenders: a survey of clinical practices. Assessment, 17, 377–395. doi:10.1177/1073191109359587.

    Article  PubMed  Google Scholar 

  • Vitacco, M. J., Rogers, R., & Neumann, C. S. (2003). The antisocial process screening device an examination of its construct and criterion-related validity. Assessment, 10, 143–150. doi:10.1177/1073191103010002005.

    Article  PubMed  Google Scholar 

  • Zeileis, A., Kleiber, C., & Jackman, S. (2007). Regression models for count data in R. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna. Retrieved from https://cran.r-project.org/web/packages/pscl/vignettes/countreg.pdf

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Acknowledgments

This research was supported by an operating grant from the Social Sciences and Humanities Research Council of Canada-Community University Research Alliance (SSHRC-CURA). The views expressed herein are those of the authors and do not necessarily reflect the views or policies of the agency that funded the research. We thank the three anonymous reviewers whose comments helped improve and clarify this manuscript.

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Shaffer, C., Gatner, D., Gray, A.L. et al. Incremental and Predictive Validity of the Antisocial Process Screening Device in a Community Sample of Male and Female Ethnic Minority and Caucasian Youth. J Abnorm Child Psychol 44, 1599–1612 (2016). https://doi.org/10.1007/s10802-016-0130-3

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