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Linking structure and content: Friendship networks and academic achievement.

机译:链接结构和内容:友谊网络和学术成就。

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摘要

Current federal policies assume that schools and teachers can raise test scores and reduce achievement gaps. Peer relations are usually ignored in accountability reforms, but particularly among teenagers, peer relations are extremely important. The purpose of this dissertation is to examine adolescent peer networks as a context that may promote high academic performance.;Theoretically, this project conceives of the social world as consisting of macro and micro processes and dynamic social relations. It bridges several research traditions and literatures: social network analysis, the sociology of education and the sociology of the youth. The organizing argument is that to understand how friendship networks affect achievement we need to take into account both the pattern of social relationships within which students are embedded (network structure) and their action orientation, shared meanings and social emotions (network content). To address this issue, I analyze school-based friendship networks from the National Longitudinal Survey of Adolescent Health. I test whether network structural properties (ego-send density, popularity, centrality, and actor's embeddedness in school networks) act in combination with friends' school attachment (network content) to influence academic performance.;The most consistent findings are related to actor centrality and actor's embeddedness in school networks. Regarding actor centrality, I found in an OLS regression framework that the association between friends' attachment to school and achievement (math and English) is conditional on centrality levels. High-centrality students connected to high-attachment friends outperform their low-centrality counterparts linked to equally high-attached peers. However, this finding did not hold up in a fixed-effects framework, which suggests that unobserved individual heterogeneity may have been driving the statistical association found.;Regarding actor's embeddedness in school networks, I found that students embedded in highly cohesive networks and connected to high-attached students perform better than their comparable counterparts embedded in less cohesive webs of social relations. This finding shows consistency across subject-matters (math and English) and statistical models (OLS regression and fixed-effects estimation).;The findings suggest that the interplay between structure and content is a promising analytical and empirical avenue to make sense of the ways in which friendship networks may affect achievement or other social phenomena.
机译:当前的联邦政策假设学校和教师可以提高考试成绩并缩小成绩差距。在问责制改革中,同伴关系通常被忽略,但是特别是在青少年中,同伴关系非常重要。本文的目的是检验青少年同伴网络是否可以促进较高的学习成绩。;从理论上讲,该项目将社会世界视为由宏观和微观过程以及动态的社会关系组成。它架桥了几种研究传统和文献:社会网络分析,教育社会学和青年社会学。组织观点是,要了解友谊网络如何影响成就,我们需要考虑学生所处的社会关系模式(网络结构)及其行为取向,共享的意义和社会情感(网络内容)。为了解决这个问题,我分析了《全国青少年健康状况纵向调查》中的校际友谊网络。我测试网络结构属性(自我发送密度,受欢迎程度,中心性以及演员在学校网络中的嵌入度)是否与朋友的学校依恋关系(网络内容)一起起作用以影响学习成绩;;最一致的发现与演员中心性有关以及演员在学校网络中的嵌入度。关于演员的中心性,我在OLS回归框架中发现,朋友对学校的依恋与成就(数学和英语)之间的关联取决于中心性。与高依恋关系的朋友建立联系的高中心学生比与同等依恋关系的同伴联系的低中心学生表现更好。但是,这一发现并没有在固定效果框架内得到支撑,这表明未观察到的个体异质性可能一直在推动发现的统计关联。关于演员在学校网络中的嵌入性,我发现学生嵌入了高度凝聚力的网络中并且与高学历的学生的表现要好于嵌入社交关系的网络中的同类学生。该发现表明主题(数学和英语)和统计模型(OLS回归和固定效应估计)之间具有一致性;发现表明结构和内容之间的相互作用是一种有前途的分析方法和经验方法友谊网络可能会影响成就或其他社会现象。

著录项

  • 作者

    Santos, Martin.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Education Sociology of.;Sociology Theory and Methods.;Education Secondary.;Sociology Individual and Family Studies.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 135 p.
  • 总页数 135
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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