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31.
In order to examine the relationships among social network structure, types of social support, and determinants of support satisfaction, an alternative method was used to score the Social Support Questionnaire (SSQ). Factor analysis procedures suggested that college students' (N=198) social networks consisted of four groups: nuclear family, other family, friends, and others. Satisfaction with support was positively related to the proportion of the network occupied by nuclear family and negatively related to the proportion of friends in the network. Evidence was found for the presence of both support specialists and support generalists in the networks of the college students. These results are discussed from a developmental perspective with attention to the implications for interventions.  相似文献   
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Tyre P  Scelfo J 《Newsweek》2002,140(21):66
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Prevention science has produced information about risk and protective factors that predict adolescent drug use and related problem behaviors. This paper investigates the Communities That Care Youth Survey that measures multiple risk and protective factors. Using a sample of 172,628 students who participated in surveys administered in seven states in 1998, analyses were conducted to test the factor structure of these risk and protective factors and to test the equivalence of the factor models across five racial/ethnic groups (African Americans, Asians or Pacific Islanders, Caucasians, Hispanic Americans, and Native Americans), four grade levels (6th, 8th, 10th, and 12th) and both gender groups. Results support the construct validity of the surveys risk and protective factor scales and indicate that the measures are equally reliable across males and females and five racial/ethnic groups. Implications of these findings for science-based prevention planning are discussed.  相似文献   
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Scelfo J 《Newsweek》2004,143(25):40
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This contribution aims at examining the extent to which patent related indicators are relevant for shedding light on the notion of excellence within knowledge-generating institutions. Traditionally, excellence has been looked upon as the ability to create interesting and valuable new scientific concepts, theories and data. From such a perspective, scientific excellence can be assessed through scientometric measures of publication output and impact. The recent interest in the entrepreneurial phenomenon within knowledge-generating institutes justifies efforts to examine the relevancy of broadening the set of indicators used to assess such institutions into the direction of entrepreneurial excellence. In this paper we will examine the relevancy of using patent data in order to delineate such additional, more entrepreneurial oriented, indicators. The arguments and findings presented in this respect will lead us to a plea for the use of these indicators in a contextualized manner.  相似文献   
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Rawe J 《Time》2003,162(7):46-48
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Tyre P  Scelfo J 《Newsweek》2003,142(12):60-62
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