This article was downloaded by: [University of Michigan] On: 24 October 2011, At: 18:33 Publisher: Routledge Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Journal of Clinical Child & Adolescent Psychology Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/hcap20 Negative Peer Involvement in Multisystemic Therapy for the Treatment of Youth Problem Behavior: Exploring Outcome and Process Variables in “RealWorld” Practice Paul Boxer a a Department of Psychology, Rutgers University Available online: 24 Oct 2011 To cite this article: Paul Boxer (2011): Negative Peer Involvement in Multisystemic Therapy for the Treatment of Youth Problem Behavior: Exploring Outcome and Process Variables in “Real-World” Practice, Journal of Clinical Child & Adolescent Psychology, 40:6, 848-854 To link to this article: http://dx.doi.org/10.1080/15374416.2011.614583 PLEASE SCROLL DOWN FOR ARTICLE Full terms and conditions of use: http://www.tandfonline.com/page/terms-and-conditions This article may be used for research, teaching, and private study purposes. 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Journal of Clinical Child & Adolescent Psychology, 40(6), 848–854, 2011 Copyright # Taylor & Francis Group, LLC ISSN: 1537-4416 print=1537-4424 online DOI: 10.1080/15374416.2011.614583 Negative Peer Involvement in Multisystemic Therapy for the Treatment of Youth Problem Behavior: Exploring Outcome and Process Variables in ‘‘Real-World’’ Practice Paul Boxer Downloaded by [University of Michigan] at 18:33 24 October 2011 Department of Psychology, Rutgers University Associating with a negative peer group is related to involvement in problem behavior, yet very little research has considered the role of negative peer group affiliations in the context of ‘‘real-world’’ community-based treatments for problem behavior. This study examined the effects of negative peer involvement on case closure status and treatment characteristics in a large sample (N ¼ 1,341) of adolescents (M age ¼ 15.3 years, SD ¼ 1.5 years) enrolled in Multisystemic Therapy services. Data were drawn from the clinical records of a nonprofit youth and family services provider. Findings suggest that negative peer involvement is significantly related to treatment failure, particularly when negative peer involvement is comprised of gang affiliation. Youth problem behaviors emerge as the result of multiple interacting risk factors (Dodge & Pettit, 2003; Guerra, Williams, Tolan, & Modecki, 2008). Thus the treatment of youth showing high levels of problem behavior often will be a challenging task with multiple intervention targets. One of the more vexing aspects of treatment for youth showing high levels of problem behavior is the role of the peer context in maintaining problem behavior. Deviant ‘‘peer contagion’’ can interfere with the successful treatment of youth exhibiting problem behavior (e.g., Dishion, McCord, & Poulin, 1999). Research suggests that associations with antisocial peers can accelerate involvement in juvenile offending (Elliott & Menard, 1996), and involvement in violent peer networks (i.e., gangs) can facilitate engagement in acts of serious violence (Dishion, Veronneau, & Myers, 2010). Of importance, reports from controlled studies demonstrate that reductions in youths’ associations with delinquent or ‘‘bad’’ peers I acknowledge the support provided for this study by Community Solutions, Incorporated (CSI), including Susan Pribyson, Prakash Parikh, Richard Lutz, and Michael Bradley. CSI generously provided the dataset for analysis and ongoing consultation concerning the clinical information included therein. Correspondence should be addressed to Paul Boxer, Department of Psychology, Rutgers University, 101 Warren Street, Newark NJ 07102. E-mail: [email protected] account partially for significant positive effects of treatment on problem behavior (Henggeler, Letourneau, et al., 2009; Huey, Henggeler, Brondino, & Pickrel, 2000). Yet the role played by deviant peers in the outcomes of youth in routine clinical care has not been assessed conclusively. Despite a resurgence in organized gang activity (Dinkes, Kemp, Baum, & Snyder, 2009; Egley, Howell, & Moore, 2010), no published studies have documented the effectiveness of targeted individual treatment for youth involved in gangs (Parker et al., 2008). This study considers the effectiveness of Multisystemic Therapy (Henggeler, Schoenwald, et al., 2009) with respect to serving youth whose problem behavior presentation is marked by involvement in negative peer groups generally and=or gangs specifically. Data for this investigation were obtained from a large, nonprofit clinical services organization and collected during the course of routine service provision. Analyses consider the extent to which identified involvement in negative peer groups, and in gangs specifically, reduces the likelihood of successful treatment and=or modifies the delivery of services. Multisystemic Therapy (MST) is a community-based, multiple-component intervention strategy for adolescents designed by Henggeler, Schoenwald, and colleagues (2009). MST has been recognized as a ‘‘Model’’ program by the University of Colorado’s Blueprints Downloaded by [University of Michigan] at 18:33 24 October 2011 NEGATIVE PEER INVOLVEMENT for Violence Prevention (see http://www.colorado.edu/ cspv/blueprints/), which has vetted more than 800 different intervention approaches. Per Blueprints criteria for model programs, which are the most stringent applied by such evaluative authorities, MST has produced deterrent effects on youth problem behavior as evidenced through a strong research design (i.e., experimental or quasi-experimental evaluation), sustained effects to a minimum of 1-year postprogram, and yielded multisite replication of positive treatment effects. MST is a multifaceted intervention that bridges multiple individual practitioners from various community-based agencies in the service of treating individual youth. MST results in substantial short-term (Henggeler et al., 1986) and long-term (up to 13 years; Schaeffer & Borduin, 2005) reductions in conduct problems and recidivism. Since the initial validation and dissemination of the original MST treatment model, MST has undergone several adaptations to address youth problem behavior in the context of other cooccurring behavioral or environmental concerns, including child maltreatment (Swenson, Schaeffer, Henggeler, Faldowski, & Mayhew, 2010), substance abuse (Henggeler, Pickrel, & Brondino, 1999), suicidality (Huey et al., 2004), and sexual offending (Henggeler, Letourneau, et al., 2009). Notably, although MST can target peer group factors (Henggeler, Schoenwald, et al., 2009), assessments of the effectives of MST for youth entrenched in or affiliated with negative peer groups have not been put forth. This omission does not diminish the overall quality of MST as a highly effective treatment for youth problem behavior generally, but it does represent a potentially fruitful avenue for inquiry with respect to factors that might inhibit treatment success. As previously noted, deviant peer groups can be problematic in the context of targeted interventions for problem behavior. Dishion et al. (1999) suggested in their seminal review that aggregating antisocial youth, particularly adolescents, in group treatments might produce the iatrogenic effect of increasing problem behaviors in those youth. Although not all studies of deviant peer influence have yielded negative peer contagion effects (some have shown both positive and negative influence or generally positive influence of deviant peers; Boxer, Guerra, Huesmann, & Morales, 2005; Huefner, Handwerk, Ringle, & Field, 2009), negative peers certainly appear to play a meaningful role in whether individual youth can make changes for the better in their positive adjustment. Further evidence in support of the impact of deviant peer groups on youth problem behavior has come directly from MST trials. For example, Huey et al. (2000) found that reductions over time in affiliation with delinquent peers were associated with subsequent 849 decreases in delinquent behavior. More recently, Henggeler, Letourneau, et al. (2009) reported that decreases in caregiver disapproval of and concern about their youths’ friends were associated with reductions in problem behavior and deviant sexual interests and risky behaviors. It should be emphasized that as part of its broad set of specific intervention modalities, MST typically will include some effort to intervene directly in the peer ecology, such as by enrolling youth in prosocial group activities (e.g., organized sports, after-school clubs) and rewarding them for sustained involvement and participation in those activities (Henggeler, Schoenwald, et al., 2009). The present study examined the role of negative peer involvement generally, and gang involvement in particular, for youth receiving MST services. Data for this study were provided by Community Solutions, Incorporated (CSI), a nonprofit youth and family services agency that has been providing MST services since 1999 and currently offers MST at numerous sites in eight different states (see http://www.csi-online.org). Analyses explored two questions: (a) Does negative peer involvement, when identified as a key referral issue, reduce the likelihood of successful treatment? (b) Does negative peer involvement, in the context of successful treatment, lead to different treatment strategies on the part of the therapist? Based on prior research, it was hypothesized, first, that negative peer involvement would be associated with a reduced likelihood of successful treatment and, second, that a referral issue of negative peer involvement would produce treatment strategies different from the absence of identified negative peer involvement. In regard to the latter hypothesis, data were not available to yield specific predictions regarding the nature of those treatment strategy differences. METHOD Participants Data were obtained from the computerized clinical records of youth enrolled in services with CSI. All records were deidentified prior to electronic transmission from the agency. All records represented unique (no duplicates, no repeats) closed-case files. From an initial data set containing 2,049 cases, a reduced data set was created to include only those cases in which (a) referral information was available (i.e., lists of presenting problems=issues), (b) the target youth was seen on at least one occasion by an MST therapist, (c) clear reasons for case closure were indicated in the data set, and (d) full demographic information on participants was available. This led to a data set containing 1,341 cases, Downloaded by [University of Michigan] at 18:33 24 October 2011 850 BOXER or 65% of the initial data transfer. It should be noted that the initial data set comprised cases that had been integrated into the clinical record system after a number of improvements had been made in case-tracking software and expansions of available data fields. Thus, data were missing by design and not through record-keeping errors or case-specific problems. Consistent with typical MST practice, youth were referred to CSI by a number of different sources. Of the 1,071 cases (80% of the analysis sample) for which data on referral source were available, 32% were referred by probation officials, 24% by court agencies, 22% by social services or child protection agencies, and the remainder by other agents. Participants in this study were 927 male (69%) and 414 female (31%) adolescents (M age ¼ 15.3 years, SD ¼ 1.5 years) of diverse ethnic backgrounds (42% White=Non-Hispanic, 40% Black=African American, 16% Hispanic=Latino=a, 3% multiracial). As a broad indicator of socioeconomic status, 36% of participants (n ¼ 478) were eligible for Medicaid. Arrest data were available for 1,189 participants. Most participants (64%, n ¼ 862) had no arrests, 17% (n ¼ 230) had one prior arrest, 5% had two priors (n ¼ 68), 2% had three priors (n ¼ 20), and less than 1% had four priors (n ¼ 7) or five priors (n ¼ 2). Measures Three broad classes of treatment characteristics were examined in this investigation: (a) Outcome (i.e., whether the course of MST treatment was determined to be successful), (b) Process (i.e., how MST therapists allocated their time in the service of treating youth), and (c) Referral (i.e., the number and nature of specific presenting problems recorded by the therapist via initial consultation with participating families). Outcome. Outcome was measured by a single indicator reporting a categorical reason for case closure. Positive closure was indicated by the category of ‘‘completion,’’ meaning that the therapist and family agreed that treatment goals had been met satisfactorily. Negative case closure was indicated by one of four possible categories: (a) ‘‘Lack of engagement’’ (therapist unable to engage or encourage family to commit to treatment, despite concerted effort), (b) ‘‘New arrest’’ (participant was arrested and detained due to behavior exhibited during the course of treatment), (c) ‘‘Placement’’ (participant was removed from home and placed in detention or restrictive residential care due to behavior exhibited during the course of treatment), and (d) ‘‘Probation revocation’’ (participant was reconfined due to a probation violation that occurred during the course of treatment). Other discharge categories not considered in the present analysis relate to factors beyond the purview of the specific treatment relationship, including a family’s need to relocate, a loss of funding for the participating family to receive MST, or administrative issues related to the MST program and not to the participating family. These cases were not considered in subsequent analyses because the reasons for discharge are neither positive nor negative with respect to the MST services provided. Process. Data were available describing the nature, number, and duration of contacts between the therapists and those with whom they worked in the service of individual cases. Contacts could include individual meetings with youth clients; separate collateral meetings with family members, school officials, court officials, and= or ‘‘other’’ collateral sources (e.g., community members, neighbors); or combined meetings involving youth along with family members, school officials, court officials, and=or ‘‘other’’ collateral sources. It should be noted that these summary indicators were not completely independent. For example, if a collateral appointment included family members and school officials, it would be counted in both categories. Therapist contacts were indicated as the number of meetings held in each category. In addition to the number of contacts, the total time of therapist contacts (in minutes) also was included, and a score representing the average length of contacts was calculated for analyses (i.e., total time in minutes divided by total number of contacts). Referral. Referral problem entries in the clinical records database were verbatim recordings of families’ presenting complaints at the outset of treatment, or restatements of those complaints in fairly standard terms. Given the target population served by MST, youth typically present with a variety of concerns (e.g., intense family conflict, delinquency, substance use, truancy, academic failure). The present study focused on youths’ involvement in ‘‘negative,’’ antisocial or deviant peer groups. Thus, two separate variables were created from the referral issue descriptions entered into clinical records by therapists. The first variable, negative peer involvement, included participants who were categorized as having a presenting problem with negative peer involvement if their referral description included any mention of involvement with such peers (1 ¼ any negative peer involvement noted, 0 ¼ no negative peer involvement noted). Examples included ‘‘associates with a negative peer group,’’ ‘‘mixed antisocial and prosocial peers,’’ and ‘‘negative peer involvement.’’ The second referral variable, gang involvement, was scored separately but also considered a subset of negative peer involvement generally. Participants were categorized as NEGATIVE PEER INVOLVEMENT TABLE 1 Case Closure Status Case Closure Status information in clinical records ultimately reflects the consensus of at least three clinicians. As previously noted, clinical record data were transmitted to the author electronically after being deidentified. The research protocol for this study was determined to be exempt from review by the human subjects Institutional Review Board of Rutgers University. n (%) Positive Negative Lack of Engagement New Arrest Placement Probation Revocation 1,130 211 43 14 148 6 851 (84.3%) (15.7%) (3.2%) (1%) (11%) (0.4%) Downloaded by [University of Michigan] at 18:33 24 October 2011 RESULTS having a presenting problem with gang involvement if their referral description included any mention of gang membership, association, or activity (1 ¼ any gang involvement noted, 0 ¼ no gang involvement noted). Examples included ‘‘gang membership or strong affiliation,’’ ‘‘admits to gang membership,’’ and ‘‘refuses to ever leave the ______ gang.’’ Gang involvement is a subordinate category of negative peer involvement and thus also led to a score of 1 for that category. It is important to clarify that youth positive for negative peer involvement were not necessarily also positive for gang involvement. Procedures The data included in this study were generated through the course of regular MST treatment procedures for intake, intervention, case management, and discharge. The organization providing the data has been a network provider of MST since 1998 after full licensing and recognition by MST Services, Inc. Master’s-level therapists worked under the supervision of highly experienced, master’s-level clinical supervisors who themselves received regular supervision from significantly experienced and skilled consultants. Per MST procedures, Table 1 presents information on detailed case closure status for the full sample. Age was unrelated to case closure status, r(1, 341) ¼ ".041, p ¼ .136, but both sex and ethnicity were significantly related to case closure status. Boys (18%) were more likely to experience negative case closures than were girls (11%), v2(1) ¼ 9.66, p ¼ .002. Black participants (20%) and Hispanic= Latino=a participants (18%) were more likely to experience negative case closures than were White= Non-Hispanic participants (12%) and multiracial (5%) participants, v2(3) ¼ 17.69, p ¼ .001. Medicaid clients (14%) were somewhat less likely to experience negative case closures than were non-Medicaid clients (17%), v2(1) ¼ 3.08, p ¼ .079. Number of prior arrests was modestly but significantly related to case closure status; more prior arrests increased the likelihood of a negative case closure, r(1189) ¼ ".065, p ¼ .025. Table 2 presents information on treatment process indicators for the full sample, divided by case closure status. Generally, negative case-closure status was associated with fewer therapist contacts of most types and less total time spent in treatment activities. Table 3 presents information on the referral indicators for the full sample, divided by case closure status. The rate of negative case closures in the context of negative peer involvement was almost twice the rate of TABLE 2 Treatment Process Indicators Positive Case Closurea Treatment Process Indicator Total Therapist Contacts With Youth Only With Youth þ Collateral With Family With School With Court With ‘‘Other’’ Time in Treatment (Minutes) Average Contact Time (Minutes) Negative Case Closureb M SD Range M SD Range 44.69a 13.01a 17.09a 33.99a 2.64a 2.32a 5.62a 2244.42a 52.55 23.13 17.97 12.80 25.82 4.28 3.85 11.15 1061.76 15.23 2–194 0–132 0–74 0–196 0–37 0–31 0–103 75–8665 7.5–133.3 33.57b 13.23a 9.86b 22.19b 1.29b 2.63a 4.38a 1584.90b 51.62 23.84 21.15 9.74 21.83 2.34 3.95 8.81 1073.80 21.15 1–139 0–132 0–51 0–98 0–13 0–29 0–69 10–5385 5.8–160.5 Note: Means with different subscripts are significantly different at p < .001 per independent-samples Mann–Whitney U test. a n ¼ 1,130. b n ¼ 211. 852 BOXER TABLE 3 Referral Indicators Referral Indicator Negative Peer Involvement Yes No Gang Involvement Yes No Positive Case Closurea Negative Case Closureb 92 (8.1%) 1,038 (92.9%) 32 (15.2%) 179 (84.8%) 15 (1.3%) 1,115 (98.7%) 9 (4.3%) 202 (95.7%) Downloaded by [University of Michigan] at 18:33 24 October 2011 Note: Percentages reflect proportion of total within columns. a n ¼ 1,130. b n ¼ 211. positive case closures in the context of negative peer involvement. The rate of negative case closure in the absence of negative peer involvement was about 17%, whereas the rate of negative case closure in the presence of negative peer involvement was about 26%, v2(1) ¼ 10.45, p ¼ .001. The rate of negative case closures in the context of gang involvement was about 3 times the rate of positive case closures in the context of gang involvement. The rate of negative case closure in the absence of gang involvement was about 15%, and this rate in the presence of gang involvement was about 38%, v2(1) ¼ 8.73, p ¼ .003. To assess the independence of the role of negative peer and gang involvement in case closure status, follow-up analyses were conducted. Negative peer involvement was unrelated to sex, ethnicity, and Medicaid status (all chi-square tests nonsignificant, p ¼ .954, .317, and .408, respectively). However negative peer involvement was modestly related to prior arrests, r(1, 189) ¼ .061, p ¼ .036. Similar results were observed for gang involvement with respect to no relation between this variable and sex (p ¼ .128), ethnicity (p ¼ .107), and Medicaid status (p ¼ .126), and a modest relation between this variable and prior arrests, r(189) ¼ .050, p ¼ .087. As a final test of the relative independence of negative peer involvement and gang involvement in predicting case closure status, two logistic regression analyses were computed. The first included negative peer involvement along with sex, ethnicity (entered as a categorical indicator), and Medicaid status. The second included gang involvement along with those three variables. Alternative models that also incorporated prior arrests were examined separately due to their impact on sample size. As shown in Table 4, negative peer involvement and gang involvement had significant effects that maintained beyond the effects of demographic controls. Effects were robust to the reduction in sample size attendant to the inclusion of prior arrests as a control variable. Prior arrests were not significant predictors of case closure, but negative peer involvement (odds ratio [OR] ¼ .568, p ¼ .020) and gang involvement (OR ¼ .372, p ¼ .035) remained significant predictors. Hosmer–Lemeshow tests for all models were nonsignificant, indicating close correspondence between the models and the data. The final set of analyses considered variations in treatment characteristics. Specifically, we tested whether, in cases closed successfully, negative peer and=or gang involvement accounted for differences in the nature or duration of treatment contacts. Nonparametic tests (Independent Samples Mann–Whitney U Test) revealed that therapist strategies differed as the function of negative peer involvement in terms of how they allocated contacts. With no negative peer involvement, therapists met with youth clients individually significantly more often (M ¼ 13.22, SD ¼ 18.02) than in the context of TABLE 4 Logistic Regression Analyses Predicting Case Closure Status Predictor Sex Ethnicity Black=African American Hispanic=Latino=a Multiracial Medicaid Status Negative Peer Involvement Sex Ethnicity Black=African American Hispanic Multiracial Medicaid Status Gang Involvement b SE Wald p OR OR 95% CI –.494 .181 7.44 .610 .428–.870 –.614 –.525 .950 .286 –.683 –.483 .173 .223 .741 .165 .225 .181 –.609 –.514 .935 .282 –1.012 .173 .222 .741 .165 .438 16.55 12.54 5.55 1.64 9.20 7.12 16.19 12.33 5.35 1.59 2.90 5.33 .006 .001 .000 .018 .200 .084 .002 .008 .001 .000 .021 .207 .088 .021 .541 .592 2.586 1.331 .505 .617 .385–.760 .382–.916 .605–11.053 .962–1.840 .325–.785 .433–.880 .544 .598 2.548 1.325 .364 .387–.764 .387–.925 .596–10.892 .959–1.832 .154–.858 Note: Sex: Girls ¼ 0, Boys ¼ 1; Medicaid status: No Medicaid ¼ 0, On Medicaid ¼ 1; Negative peer and Gang involvement: 0 ¼ No involvement, 1 ¼ Involvement. Outcome variable: Negative case closure ¼ 0, Positive case closure ¼ 1. NEGATIVE PEER INVOLVEMENT Downloaded by [University of Michigan] at 18:33 24 October 2011 negative peer involvement (M ¼ 10.70, SD ¼ 17.40; p ¼ .010). The reverse was observed for youth plus collateral contacts; therapists held these conjoint meetings more often in the context of negative peer involvement (M ¼ 20.18, SD ¼ 12.07) than in the absence of negative peer involvement (M ¼ 16.81, SD ¼ 12.84; p ¼ .006). Negative peer involvement also led to more meetings with court officials (M ¼ 3.62, SD ¼ 4.52) compared to the absence of negative peer involvement (M ¼ 2.21, SD ¼ 3.76). With respect to gang involvement, the only significant difference observed was with respect to therapist meetings with court officials. In the context of gang involvement, therapists met more often with court officials (M ¼ 4.33, SD ¼ 4.94) compared to the absence of gang involvement (M ¼ 2.29, SD ¼ 3.83, p ¼ .042). DISCUSSION The findings from this study offer new information to the field and especially to the arena of evidence-based practice in the high-risk population of youth exhibiting serious problem behavior. Negative peer involvement reduced the likelihood of successful treatment, even in the context of an established, validated treatment package. Following observations from controlled trials of MST (Henggeler, Letourneau, et al., 2009; Huey et al., 2000), perhaps therapists in those cases simply were unable to reduce youths’ contact with or commitment to their negative peer groups. Further, it might be that when negative peer involvement is acknowledged at treatment initiation as a significant referral issue, this might be a signal that the youth is particularly entrenched in negative peer relationships. Negative peer dynamics might be especially pressing for youth involved in gang activity. Beyond the more generalized effects of deviant peer influence, gang activity is tied to very powerful social relationship forces. Membership can be spurred and maintained by youths’ desire to affiliate with close and family-like peer networks, it is typically tied to neighborhood residence, and it might result from multigenerational family ties to specific gangs (Dishion, Nelson, & Yasui, 2005; Rizzo, 2003). Although youth select into gang activity partly on account of their elevated antisocial tendencies, gang involvement also sparks significant increases in both violent and nonviolent antisocial behavior (Barnes, Beaver, & Miller, 2010). It is important to note that the base rate in the analysis sample of identified gang involvement was very low (>2%). This might reflect a variety of factors including underreporting on the part of youth and their caregivers or a failure to probe for gang involvement at treatment intake on the part of therapists. Then again, the real proportion of 853 gang-involved youth in the population of youth referred for MST, which can function as an alternative to incarceration, might actually be quite low given perceived risks to community safety of allowing gang-involved youth to avoid confinement. Underscoring the need for additional research, findings presented here suggest that therapists respond to the presence of negative peer involvement generally by differentially allocating their meetings with youth individually or with youth and others conjointly. The present study suggests that individual meetings with youth are less essential and conjoint meetings more essential in the presence of negative peer involvement. Of course, this study relied on peer concerns identified statically at referral. Therefore, studies utilizing ongoing, dynamic assessment of negative peer involvement throughout treatment would be important for understanding the extent to which therapists respond flexibly to those dynamics in treatment. Implications for Research, Policy, and Practice The methodology utilized here highlights the value of bringing ‘‘real-world’’ clinical data to bear on issues of relevance to advancing the field. Analyzing data collected during the routine practice of clinical care adds value to those data and permits the investigation of issues that arise during everyday practice (Boxer, 2007). Such data are not without their limitations, and the present study is no exception. Further, and with particular relevance to MST, it was not possible in this study to assess the impact of therapist adherence to the MST treatment model on case outcomes. Therapist adherence is a fundamental aspect of treatment success in the MST model and has been highlighted as a critical factor in the transportability of MST from agency to agency (Schoenwald, Letourneau, & Halliday-Boykins, 2005). Treatment fidelity more generally is a key issue when considering the translation of research-based therapies to community-based systems of care (Hoagwood, Burns, Kiser, Ringeisen, & Schoenwald, 2001). Future studies considering the role of negative peer influence during individual treatment for youth problem behavior should explore whether negative peer influence poses a challenge to therapists seeking to maintain treatment fidelity. REFERENCES Barnes, J., Beaver, K. M., & Miller, J. M. (2010). Estimating the effect of gang membership on nonviolent and violent delinquency: A counterfactual analysis. Aggressive Behavior, 36, 437–451. Boxer, P. (2007). Aggression in very high-risk youth: Examining developmental risk in an inpatient psychiatric population. 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