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Data assessment is critical for determining student behavior change in response to individualized behavior interventions in schools. This study examined the interrater agreement of the Individualized Behavior Rating Scale Tool (IBRST), a perceptual direct behavior rating tool that was used by typical school personnel to record behavior occurrence in students requiring individualized interventions. Two independent observers (teacher and data collector) used the IBRST to rate student-specific problem and appropriate behaviors during specified observation times. Data were collected across 19 students and agreement between raters was compared. Resulting linear- and quadratic-weighted kappa coefficients indicated generally adequate agreement between raters on problem behaviors and appropriate behaviors. When ratings were categorized into more or less salient behaviors, less than adequate agreement (<0.60) was found for some behaviors that were less salient. Agreement remained stable from baseline to intervention. Implications for practice, limitations of the study, and directions for future research are discussed.

Multilevel confirmatory factor analysis was used to evaluate the factor structure underlying the 12-item, three-factor "Interagency Collaboration Activities Scale" (ICAS) at the informant level and at the agency level. Results from 378 professionals (104 administrators, 201 service providers, and 73 case managers) from 32 children's mental health service agencies supported a correlated three-factor model at each level and indicated that the item loadings were not significantly (p greater than 0.05) different across levels. Reliability estimates of the three factors (Financial and Physical Resource Activities, Program Development and Evaluation Activities, and Collaborative Policy Activities) at the agency level were 0.81, 0.60, and 0.72, respectively, whereas these estimates were 0.79, 0.82, and 0.85 at the individual level. These multilevel results provide support for the construct validity of the scores from the ICAS. When the ICAS was examined in relation to Level 1 and Level 2 covariates, results showed that participants' characteristics (i.e., age, job role, gender, educational level, and number of months employed) and agency characteristics (i.e., state location and number of employees) were not significantly (p greater than 0.05) related to levels of interagency collaboration. (Contains 4 tables and 1 figure.)

Objective: We used growth mixture modeling to examine heterogeneity in treatment response in a secondary analysis of 2 randomized controlled trials testing multidimensional family therapy (MDFT), an established evidence-based therapy for adolescent drug abuse and delinquency. Method: The first study compared 2 evidence-based adolescent substance abuse treatments: individually focused cognitive-behavioral therapy and MDFT in a sample of 224 urban, low-income, ethnic minority youths (average age = 15 years, 81% male, 72% African American). The second compared a cross-systems version of MDFT (MDFT--detention to community) with enhanced services as usual for 154 youths, also primarily urban and ethnic minority (average age = 15 years, 83% male, 61% African American, 22% Latino), who were incarcerated in detention facilities. Results: In both studies, the analyses supported the distinctiveness of 2 classes of substance use severity, characterized primarily by adolescents with higher and lower initial severity; the higher severity class also had greater psychiatric comorbidity. In each study, the 2 treatments showed similar effects in the classes with lower severity/frequency of substance use and fewer comorbid diagnoses. Further, in both studies, MDFT was more effective for the classes with greater overall substance use severity and frequency and more comorbid diagnoses. Conclusions: Results indicate that for youths with more severe drug use and greater psychiatric comorbidity, MDFT produced superior treatment outcomes. (Contains 6 figures, 3 footnotes and 4 tables.)

This paper provides an introduction to a recently developed conceptual framework--the dimensional-categorical spectrum--for utilizing general factor mixture models to explore the latent structures of psychological constructs. This framework offers advantages over traditional latent variable models that usually employ either continuous latent factors or categorical latent class variables to characterize the latent structure and require an a priori assumption about the underlying nature of the construct as either purely dimension or purely categorical. The modeling process is discussed in detail and then illustrated with data on the delinquency items of Achenbach's child behavior checklist from a sample of children in the National Adolescent and Child Treatment Study.

This article examines the impact of sociodemographic characteristics and psychosocial factors on the probability and frequency of marijuana use and, for youths initiating use, on their frequency of use over four time points. The sample consists of 278 justice-involved youths completing at least one of three follow-up interviews as part of a National Institute on Drug Abuse (NIDA)-funded study. A two-part growth model was estimated to examine the probability of engaging in marijuana use and change in marijuana frequency of use over time. In addition, covariates for intervention status, gender, age, race, ethnicity, psychological functioning, alcohol use, and self-reported delinquency were included as baseline predictors in the model. The results of our two-part latent growth model reveal (1) a latent tendency to engage in marijuana use and a conditional, continuing decision on frequency of marijuana use, and (2) different patterns of relationships among age, psychosocial variables, and the probability and frequency of marijuana use. Implications for analytical, policy, and intervention service needs are discussed. (Contains 4 tables, 1 figure, and 3 footnotes.)

Although there is literature supporting the effectiveness of tertiary behavioral supports, the majority of the studies have been conducted with single-subject designs. The Prevent-Teach-Reinforce (PTR) model is a standardized model of a school-based tertiary intervention. This study reports initial results from a randomized controlled trial to compare whether the PTR model, as implemented by typical school personnel, is more effective than interventions typically used (i.e., services as usual). To date, 245 students in Grades K-8 have been enrolled in the study, and preliminary results show that students who received the PTR intervention had significantly higher social skills and academic engaged time and significantly lower problem behavior when compared with students who received services as usual. Teachers gave high social validity ratings to the intervention. Implications for widescale school adoption are discussed. (Contains 3 tables.)

For the study reported here, the authors used growth mixture modeling to analyze changes in alcohol and marijuana use and the use of drug and alcohol treatment services for a sample of 180 adolescents with serious emotional disturbance (ages 12-14 years at the beginning of the 7-year longitudinal study). Three latent classes of substance users were identified, two of which exhibited significant linear increases in substance use. As expected, adolescents who were heavily involved in substance use at the beginning of the study and who significantly increased their substance use were the most likely to receive the greatest number of alcohol and drug services. Adolescents who had low levels of substance use at the beginning of the study but whose substance use increased significantly during the study received fewer services. The fact that the initially low substance-use class eventually ended up resembling the high substance-use class at the end of the 7-year study underscores the importance of collecting longitudinal data on substance use and employing the rate of "change in substance use" as an indicator of the need for treatment. Advantages of growth mixture and parallel processing modeling for studying changes in substance use and services are discussed.

F. K. Del Boca, J. Darkes, P. E. Greenbaum, and M. S. Goldman (2004) examined temporal variations in drinking during the freshmen college year and the relationship of several risk factors to these variations. Here, using the same data, the authors investigate whether a single growth curve adequately characterizes the variability in individual drinking trajectories. Latent growth mixture modeling identified 5 drinking trajectory classes: light-stable, light-stable plus high holiday, medium-increasing, high-decreasing, and heavy-stable. In multivariate predictor analyses, gender (i.e., more women) and lower alcohol expectancies distinguished the light-stable class from other trajectories; only expectancies differentiated the high-decreasing from the heavy-stable and medium-increasing classes. These findings allow for improved identification of individuals at risk for developing problematic trajectories and for development of interventions tailored to specific drinker classes.

Surveys have documented excessive drinking among college students and tracked annual changes in consumption over time. This study extended previous work by examining drinking changes during the freshman year, using latent growth curve (LGC) analysis to model individual change, and relating risk factors for heavy drinking to growth factors in the model. Retrospective monthly assessments of daily drinking were used to generate weekly estimates. Drinking varied considerably by week, apparently as a function of academic requirements and holidays. A 4-factor LGC model adequately fit the data. In univariate analyses, gender, race/ethnicity, alcohol expectancies, sensation seeking, residence, and data completeness predicted growth factors (ps is less than .05); gender, expectancies, residence, and data completeness remained significant when covariates were tested simultaneously. Substantive, methodological, and policy implications are discussed.

Rates of change in behaviors in relation to community adjustment were examined for 292 participants in the 7-year longitudinal National Adolescent and Child Treatment Study (NACTS) as they transitioned to the adult world. Participants with initially higher social-adaptive behavior and whose behavior improved over time attained higher adjustment scores. (Contains references.) (Author/CR)

A study involving 109 female adolescents with serious emotional disturbances (ages 9-18) found the following risk factors for early pregnancy: being African American, low family income, dropping out of school, conduct disorder, and substance use disorder. However, according to multivariate analysis, only dropping out of school was a significant predictor. (Contains references.) (Author/CR)

Used structural equation modeling to examine factor structure and predictive validity of the Disinhibition subscale of the Sensation Seeking Scales (DIS) with drinking in 1,217 undergraduates. A three-factor model provided the best fit; prediction of drinking varied with intrinsic levels of alcohol relatedness. The relationship between alcohol-abuse risk and the DIS requires reconsideration. (Author/MAK)

Hierarchical confirmatory factor analysis was used to evaluate the two-factor second-order structure of the Child Behavior Checklist (T. Achenbach, 1991) in a sample of 577 children with serious emotional disturbance. Results support Achenbach's proposed structure model and indicate that an overall score would be an appropriate measure of global problem behavior. (SLD)

This study compiled descriptive data over 7 years on 812 school-age children with serious emotional disturbance (SED), including demographic and family characteristics, level of psychological and adaptive functioning, services received in either residential mental health treatment facilities or community-based special education programs, and long-term outcomes. Results indicated that serious problems children had at the outset remained serious after seven years. (Author/PB)

Objective: This study examined childhood abuse, problem behavior, drinking style, and dating violence (DV). Our goal was to assess whether (a) alcohol use-related beliefs and behaviors ('drinking style') would be associated with DV perpetration and victimization, (b) drinking style would mediate the relationship between childhood abuse and DV, and (c) the drinking style-DV relationship would be attributable to propensity for problem behavior. Method: Cross-sectional survey data were collected from 456 youth ages 14-21 years who were patients in an urban emergency department. Participants were eligible if they were unmarried and reported past-month alcohol use and dating in the past year. By design, the sample was 50% female. Data were analyzed using structural equation modeling. Results: For both males and females, past-year DV was associated with a more risky drinking style, characterized by more frequent alcohol use, alcohol-aggression expectancies, drinking to cope, and beliefs that alcohol is disinhibiting and that being drunk provides a 'time-out' from behavioral expectations. Drinking style mediated the childhood victimization DV relationship for males and females. However, when propensity for problem behavior was included in the model, the effect of drinking style on DV was no longer significant. Substantial path differences for males and females were observed. Conclusions: The current study examined adolescent drinking style as a potential mediator between childhood victimization and DV. Drinking style was associated with DV for males and females and mediated the relationship between childhood victimization and DV. The relationship between drinking style and DV appeared to reflect adolescents' propensity for problem behavior. Variations in males' and females' pathways to DV were observed. The implications of these findings are discussed. (J Stud. Alcohol Drugs. 72. 555-566, 2011), THE PERPETRATION OF ADOLESCENT dating violence (DV) is widespread. Estimates suggest that 12%-32% of youth have physically assaulted a dating or sexual partner in the past year (Foshee et al., [...]

Research has established the dangers of early onset substance use for young adolescents and its links to a host of developmental problems. Because critical developmental detours can begin or be exacerbated during early adolescence, specialized interventions that target known risk and protective factors in this period are needed. This controlled trial (n = 83) provided an experimental test comparing multidimensional family therapy (MDFF) and a peer group intervention with young teens. Participants were clinically referred, were of low income, and were mostly ethnic minority adolescents (average age = 13.73 years). Treatments were manual guided, lasted 4 months, and were delivered by community agency therapists. Adolescents and parents were assessed at intake, at 6-weeks post-intake, at discharge, and at 6 and 12 months following treatment intake. Latent growth curve modeling analyses demonstrated the superior effectiveness of MDFT over the 12-month follow-up in reducing substance use (effect size: substance use frequency, d = 0.77; substance use problems, d = 0.74), delinquency (d = 0.31), and internalized distress (d = 0.54), and in reducing risk in family, peer, and school domains (d = 0.27, 0.67, and 0.35, respectively) among young adolescents. Keywords: young adolescents, adolescent substance abuse, delinquency, Multidimensional Family Therapy

Comorbidity of substance abuse disorders (SUD) and psychiatric disorders is one of the most important areas of investigation in contemporary drag abuse treatment research. This study examined the impact of psychiatric comorbidity on the treatment of 182 adolescent drug abusers in a randomized clinical trial comparing family and individual cognitive-behavioral therapy. Three distinct groups of adolescent substance abusers were compared: (1) Exclusive Substance Abusers (SUD only); (2) Externalizers (SUD + externalizing disorder); and (3) Mixed Substance Abusers (SUD + externalizing and internalizing disorder). The purpose of this study was to determine whether adolescents in these comorbid groups differed in clinical presentation and treatment response. More severe comorbidity was associated with greater family dysfunction and being female and younger at intake. An examination of substance use trajectories over time indicated that the Mixed group initially responded to treatment but returned to intake levels of substance use by 1 year post-discharge. Keywords: Adolescents; Comorbidity; Drug abuse; Treatment outcome; Families

This study examined the effectiveness of several screening instruments in detecting substance use disorders among prison inmates. A sample of 400 male inmates were administered eight different substance abuse screening instruments and the Structured Clinical Interview for DSM-IV (SCID-IV), Version 2.0, Substance Abuse Disorders module. The latter was used as a diagnostic criterion measure to determine the presence of substance use disorders. Based on positive predictive value, sensitivity, and overall accuracy, the Texas Christian University Drug Screen, the Simple Screening Instrument, and a combined instrument - Alcohol Dependence Scale/Addiction Severity Index-Drug Use section were found to be the most effective in identifying substance abuse and dependence disorders.

Hierarchical models of confirmatory factor analysis were used to examine the structure of the Alcohol Expectancy Questionnaire. Data from the initial assessment of 446 first-year college students and from one-year follow-up assessment of participants were analyzed to predict alcohol use. Findings confirmed that a hierarchical model is a reliable measure of alcohol expectancy structure.

Recent epidemiological research documenting the pervasive co-occurrence of addictive and mental disorders has been concerned primarily with adults. This paper proposes the need for similar studies of adolescents, considers the special problems inherent in the assessment of co-occurrence in this age group, reviews evidence suggesting that the prevalence of co-occurring disorders in adolescents parallels that documented for adults, and delineates future research strategies.

In 260 adolescents in the age group of 11-18 years with conduct disorder expectancy have been found to play an important role in substance use. Expectancy of enhanced social behavior is significant predicator of alcohol use and mediates for 31-44% of non-expectancy covariance. The strength of other factors such as delinquency, demographics and family history as predictors of alcohol use were also assessed.

Analysis of the covariance structure modeling suggests the influence of expectancy before drinking on the alcoholic pattern of adolescents and adults. The observed reciprocal reinforcement between expectancy and drinking is due to social facilitation from alcohol. This drinking habit can be avoided by preventive measures prior to the beginning of drinking behavior.