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The research literature within the past decade has documented the importance of religiosity and spirituality in helping many adults around the world cope with major life stressors and events. Still, the role of religiosity and spirituality in adolescence is not well-known as research during this developmental period has been limited by sample size, homogeneity of samples, ethnic restrictions, and use of scales with few items. The goal of the current study is to identify and understand adolescent levels of religiousness and spirituality, as well as their roles on later social, emotional, and behavioral outcomes. The current study relied upon data from the National Longitudinal Study of Adolescent Health and utilized confirmatory factor analysis and structural equation modeling in order to generate models of the relationships between the various latent variables. The religiosity and spirituality factors in the current study adequately measure religious perceptions and practices of adolescents over time. These constructs also play a role in later emotional well-being and self-esteem. Analyses also found adequate predictive abilities in the other model factors of delinquency, psychological well-being, self-esteem, and the social support. It is concluded from this study that religiosity and spirituality are not interchangeable constructs, and that more robust measures of both factors yield richer results. It is recommended that more comprehensive scales of religiosity and spirituality be developed and investigated in the future.

Discriminant analysis was conducted to examine the empirical use of psychosocial variables and stressful life events scales in classifying depressed and non-depressed American Indian adolescents using a standardized criterion measure. Subjects attending a Bureau of Indian Affair boarding school were administered a mental health screening survey and were interviewed within four weeks using the Diagnostic Interview Schedule f or Children-Revised (DISC-R). Three models of discriminant analysis were used to determine the overall and incremental variance contributed by the stressful life events scales and the related psychosocial variables (i.e., gender, perceived social support from family and from friends, self-esteem, and depressive symptoms) to the criterion variable of depression. Results indicated that none of the models contributed significantly to the overall and unique variance in the classification of the groups. It is recommended that psychosocial correlates other than those that had been identified in this study (e.g. substance abuse, suicide behaviors, etc.) need to be examined and considered in future examination of American Indian adolescent depression.

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The purpose of this study was (1) to capture the digital divide in adolescent specific computer and online activities, and (2) to understand each online activity's meanings in adolescent social development or social capital. To assess the issue of the digital divide, the present study examined the sociodemographic, neighborhood, family, and child characteristic factors which influence each type of computer and online activity. To identify how online and computer activities can influence social capital, the present study examined diverse outcomes related to social capital which could be obtained from each online activity, and tested models explaining the relationships among sociability, Internet use, and social outcomes. The data used in the present study came from the Panel Study of Income Dynamics Child Development Supplement. The sample was 1,312 adolescents ages 12 to 18. This nationally representative dataset includes measures of computer and Internet use, diverse indicators of adolescent social behaviors and social relations, and time diaries that provide records of how and with whom they spent their time. The data were analyzed by regression and structural equation modeling. According to the findings, social economic status including family income to needs ratio, parental education, and neighborhood quality was a significant factor explaining frequent use of the Internet and a computer. However, among users, these factors were not significant in predicting the amount of time spent using a computer. Race, maternal employment, gender, and age explained adolescent different type of computer and Internet use. Analysis of the social impacts of Internet and computer use suggests that Internet and computer use have different impacts depending on the purpose individuals use them for and social outcomes examined. For instance, while adolescent Internet use for educational purposes was related to cohesive relationships with parents, their use of online communication was associated with cohesive friendship and school connectedness. Furthermore, it supports the rich get richer model, indicating that those who have strong social ties will have an increased ability to enhance their social capital by using the Internet and a computer as tools for social interaction than those who have weak social ties.

Thesis (Masters) -- The College of Saint Elizabeth, 2010. / Typescript. Available at The College of Saint Elizabeth - Office of Graduate Programs. "March 2010"

This study explored whether a relationship exists between smoking behaviors and racial discrimination induced anger among Black adolescents. Participants consisted of 134 Black adolescents from 14 to 18 years of age who frequently visited a recreation center in the Northeast. Forty-four participants were males and 90 were females. All participants were administered a modified version of the CAGE questionnaire, a background information questionnaire, and a measure designed to assess the extent to which they feel angry because they had been discriminated against. Only age was found to be predictive of scores on the CAGE. Only gender was found to be predictive of smoking frequency. The Black Anger Measure (BAM) was significantly correlated with smoking behaviors. Some implications for theory, research and practice are suggested.