In a cross-sequential study spanning 5th-12th grade, 220 White working-and middle-class youth provided reports on their experience at 16,477 random moments in their lives. Amount of time spent with family was found to decrease from 35% to 14% of waking hours across this age period, indicating disengagement. However, transformation and continued connection were evident in stability across age in time talking and alone with parents; an age increase in family conversation about interpersonal issues, particularly for girls; and with age, adolescents' more frequent perception of themselves as leading interactions. After a decrease in early adolescence, older teens reporled more favorable affect in themselves and others during family interactions. Last, the age decline in family time was found to be mediated not by internal family conflict but by opportunities and pulls an adolescent experiences from outside the familv.
This longitudinal study examined change in adolescents' daily range of emotional states between early and late adolescence. A sample of 220 youth provided reports on their daily emotions at random times during two 1-week periods. At Time 1 they were in the fifth through eighth grades; 4 years later, at Time 2, they were in the ninth through twelfth grades. Results showed that average emotional states became less positive across early adolescence, but that this downward change in average emotions ceased in grade 10. The results also showed greatest relative instability between youth in the early adolescent years--correlations over time were lower--with stability increasing in late adolescence. Lastly, the study found that adolescents' average emotions had relatively stable relations to life stress and psychological adjustment between early and late adolescence. As a whole, the findings suggest that late adolescence is associated with a slowing of the emotional changes of early adolescence.
This study inventoried the types of developmental and negative experiences that youth encounter in different categories of extracurricular and community-based organized activities. A representative sample of 2,280 11th graders from 19 diverse high schools responded to a computer-administered protocol. Youth in faith-based activities reported higher rates of experiences related to identity, emotional regulation, and interpersonal development in comparison with other activities. Sports and arts programs stood out as providing more experiences related to development of initiative, although sports were also related to high stress. Service activities were associated with experiences related to development of teamwork, positive relationships, and social capital. Youth reported all of these positive developmental experiences to occur significantly more often in youth programs than during school classes.
This article investigates the effects that perceived challenges and skills in activities have on the quality of everyday life experience. Based on flow theory it was predicted that quality of daily experience would depend on the challenge experienced and skill required in specific situations, as well as on the balance between challenge and skill. The Experience Sampling Method (ESM) was used on a sample of 208 talented adolescents to measure daily variations in four dimensions of experience (concentration, wish to do the activity, involvement, and happiness) in four contexts (in school, with relatives, with friends, and in solitude). The four dimensions of experience were regressed on the predictors challenges, skills, and their absolute difference expressing the balance/imbalance of challenges and skills. Hierarchical linear modeling, explained in detail herein, was conducted on a 1-week sample of experiences. Findings confirm the prediction of flow theory that the balance of challenges and skills has a positive and independent effect on the quality of experience. Yet some differences of parameter estimates were found between dimensions of experience and between social contexts. These heterogeneities call for a further improvement of the flow model.
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