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The social development model seeks to explain human behavior through specification of predictive and mediating developmental relationships. It incorporates the effects of empirical predictors ("risk factors" and "protective factors") for antisocial behavior and seeks to synthesize the most strongly supported propositions of control theory, social learning theory, and differential association theory. This article examines the fit of the social development model using constructs measured at ages 10, 13, 14, and 16 to predict violent behavior at age 18. The sample of 808 is from the longitudinal panel of the Seattle Social Development Project, which in 1985 surveyed fifth‐grade students from schools serving high crime neighborhoods in Seattle, Washington. Structural equation modeling techniques were used to examine the fit of the model to the data. The model fit the data (CFI ≥.90, RMSEA ≤.05). We conclude that the social development model adequately predicts violence at age 18 and mediates much of the effect of prior violence. Implications for theory and for prevention are discussed.

The social development model is a general theory of human behavior that seeks to explain antisocial behaviors through specification of predictive developmental relationships. It incorporates the effects of empirical predictors ("risk factors" and "protective factors") for antisocial behavior and attempts to synthesize the most strongly supported propositions of control theory, social learning theory, and differential association theory. This article examines the power of social development model constructs measured at ages 9 to 10 and 13 to 14 to predict drug use at ages 17 to 18. The sample of 590 is from the longitudinal panel of the Seattle Social Development Project, which in 1985 sampled fifth grade students from high crime neighborhoods in Seattle, Washington. Structural equation modeling techniques were used to examine the fit of the model to the data. Although all but one path coefficient were significant and in the expected direction, the model did not fit the data as well as expected (CF1=.87). We next specified second-order factors for each path to capture the substantial common variance in the constructs' opportunities, involvement, and rewards. This model fit the data well (CFI=.90). We conclude that the social development model provides an acceptable fit to predict drug use at ages 17 to 18. Implications for the temporal nature of key constructs and for prevention are discussed.

To understand mental self-government of the developing reading and writing brain, correlations of clustering coefficients on fMRI reading or writing tasks with BASC 2 Adaptivity ratings (time 1 only) or working memory components (time 1 before and time 2 after instruction previously shown to improve achievement and change magnitude of fMRI connectivity) were investigated in 39 students in grades 4 to 9 who varied along a continuum of reading and writing skills. A Philips 3T scanner measured connectivity during six leveled fMRI reading tasks (subword—letters and sounds, word—word-specific spellings or affixed words, syntax comprehension—with and without homonym foils or with and without affix foils, and text comprehension) and three fMRI writing tasks—writing next letter in alphabet, adding missing letter in word spelling, and planning for composing. The Brain Connectivity Toolbox generated clustering coefficients based on the cingulo-opercular (CO) network; after controlling for multiple comparisons and movement, significant fMRI connectivity clustering coefficients for CO were identified in 8 brain regions bilaterally (cingulate gyrus, superior frontal gyrus, middle frontal gyrus, inferior frontal gyrus, superior temporal gyrus, insula, cingulum—cingulate gyrus, and cingulum—hippocampus). BASC2 Parent Ratings for Adaptivity were correlated with CO clustering coefficients on three reading tasks (letter-sound, word affix judgments and sentence comprehension) and one writing task (writing next letter in alphabet). Before instruction, each behavioral working memory measure (phonology, orthography, morphology, and syntax coding, phonological and orthographic loops for integrating internal language and output codes, and supervisory focused and switching attention) correlated significantly with at least one CO clustering coefficient. After instruction, the patterning of correlations changed with new correlations emerging. Results show that the reading and writing brain's mental government, supported by both CO ...

This study examined how substance use trajectories from ages 15 to 23 in a community sample ( N = 921) were related to educational pathways. Rates of heavy drinking converged across different paths, but starting college at a 2-year college before transferring to a 4-year college was related to later increase in drinking after high school. Higher future educational attainment was negatively associated with high school marijuana use, but marijuana use increased after high school for individuals who went to 4-year colleges compared with those who did not. Noncollege youth had the highest rates of daily cigarette smoking throughout adolescence and early adulthood, whereas college dropouts had higher rates of smoking than college students who did not drop out. The findings support the need for universal prevention for early adult heavy drinking, addressing increases in drinking and marijuana use in 4-year colleges and targeting marijuana use and cigarette smoking interventions at noncollege youth and college dropouts.

Raising Healthy Children is a cluster-randomized study of a school-based intervention aimed at preventing problem behaviors among children recruited into the project in the first or second grade of elementary school. Multilevel analysis was used to compare students in intervention and control schools with respect to whether they transferred out of their original schools. Students in intervention schools were less likely to transfer within the first 5 years of the project. A multilevel discrete-time survival model that included both time-varying and contextual variables revealed that the difference in hazard of transfer was greatest in the earlier years of the project.

Both being involved in a gang and having friends who are delinquent have been shown to contribute to an individual's own delinquency. However, the unique contribution of gang membership to delinquency, above and beyond having delinquent peers, has not been well studied. Increased delinquency among gang members may not be due to gang membership per se, but to the members' association with delinquent peers. Using data from the Seattle Social Development Project, this research compared involvement in delinquency for gang members, nongang youths with delinquent friends, and nongang youths who did not have delinquent friends. MANOVA and follow‐up ANOVA were conducted to determine differences on measures of delinquency among the three groups at ages 14 and 15. Gang members were found to have a higher rate of offending in the past year when compared with the other groups. The contribution of gang membership to delinquency above and beyond having delinquent friends was also examined using structural equation modeling. Gang membership was found to independently predict both self‐reported and officially recorded delinquency beyond the effects of having delinquent friends and prior delinquency. Implications of the results for delinquency prevention and intervention efforts are discussed.

In a randomized test of mixed-mode data collection strategies, 386 participants in the Raising Healthy Children (RHC) Project were either (a) asked to complete a survey via the Internet and later offered the opportunity to complete the survey in person or (b) first offered an in-person survey, with the Web follow-up. The Web-first condition resulted in cost savings although the overall completion rates for the 2 conditions were similar. On average, in-person-first condition participants completed surveys earlier in the field period than Web-first condition participants. Based on intent-to-treat analyses, little evidence of condition effects on response bias, with respect to rates or levels of reported behavior, was found.

Communities That Care (CTC) is a prevention system designed to reduce adolescent substance use and delinquency through the selection of effective preventive interventions tailored to a community's specific profile of risk and protection. A community-randomized trial of CTC, the Community Youth Development Study, is currently being conducted in 24 communities across the United States. This article describes the rationale, multilevel analyses, and baseline comparability for the study's longitudinal cohort design. The cohort sample consists of 4,407 fifth- and sixth-grade students recruited in 2004 and 2005 and surveyed annually through ninth grade. Results of mixed-model ANOVAs indicated that students in CTC and control communities exhibited no significant differences (ps > .05) in baseline levels of student outcomes.