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 <.05); gender, expectancies, residence, and data completeness remained significant when covariates were tested simultaneously. Substantive, methodological, and policy implications are discussed.

Using a 3-wave longitudinal design, adolescents were studied over a 2-year period during which many first began to drink. Covariance structure modeling showed that teens' expectancy for social facilitation from alcohol and their drinking experience influenced each other in a reciprocal, positive feedback fashion: the greater the expectancy endorsement, the higher subsequent drinking levels, and the higher the drinking levels, the greater the subsequent expectancy endorsement. This model fit the data quite well; comparison models, in which expectancy (or drinking) had no independent influence on future drinking (or expectancy), showed significantly poorer fit than the present model. Initial nondrinkers' social expectancy predicted individual differences in the rate of drinking increase over the 2 years. Results bolster the hypothesis that expectancy actively influences drinking and point to the importance of expectancy-based intervention efforts.

Two measures of psychopathic features in youths, the self-report version of the Antisocial Process Screening Device (APSD) and the Youth Psychopathic traits Inventory (YPI) were administered to 165 youths in a juvenile diversion program. For both measures, internal consistency was poor for the scales that assess the affective domain of psychopathic features; otherwise, internal consistency was excellent for the YPI and generally superior to that of the APSD. However, the published three-factor models for both measures did not replicate when examined using confirmatory factor analysis. Both measures obtained the expected correlations with measures of a variety of criminal justice (e.g., age of delinquency onset, past year delinquent behavior) and psychological constructs (e.g., internalizing and externalizing behavior), providing evidence of construct validity for both measures. The YPI appears to be the better measure for exploring the construct of psychopathy in adolescents. Recommendations are made concerning revisions to the APSD.

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, highdecreasing, 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.

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 (MDFT) 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.