儿童依恋的知识图谱研究

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• 英文论文题名：Child Attachment:Citespace Analysis Based on Data from ISI Web of Science Database
• 论文作者：冯秀云 ; 朱晶晶 ; 谢庆斌 ; 李燕
• 英文论文作者：Feng Xiu-yun ; Zhu Jing-jing ; Xie Qing-bin ; Li Yan ; Shanxi Yuncheng Teachers' College ; Educational College ; Shanghai Normal University
• 年：2015
• 作者机构：山西省运城师范高等专科学校;上海师范大学教育学院;
• 论文关键词：儿童依恋 ; 知识图谱 ; 信息可视化 ; CiteSpaceⅢ
• 英文论文关键词：child attachment ; knowledge mapping ; information visualization ; CiteSpaceⅢ
• 会议召开时间：2015-10-16
• 会议录名称：第十八届全国心理学学术会议摘要集——心理学与社会发展
• 英文会议录名称：Proceedings of the 18th National Academic Congress of Psychology
• 语种：中文
• 分类号：B844.1
• 学会代码：ZGXG
• 会议名称：第十八届全国心理学学术会议
• 会议地点：中国天津
• 主办单位：中国心理学会
• 学会名称：中国心理学会
• 页数：2
• 文件大小：770k
• 原文格式：D
• 会议级别：全国

摘要

本研究旨在利用可视化分析软件CitespaceⅢ,以关键词和突发词为基础,展示我国2006-2014年期间儿童依恋研究的热点和前沿,以期对国际上儿童依恋研究有一个整体、全面的认识与把握,为国内对依恋的研究提供借鉴与启示。关键词是对文章主题的高低凝练,儿童依恋关键词在不同时期的出现频次反映了儿童依恋的研究热点及走向。在这些关键词节点中,Behaivior(行为)的节点最大、被引用频次最多,这说明近9年来儿童依恋的研究热点逐渐朝着儿童的内化行为(抑郁、孤独、自尊)、外化行为(攻击、移情、社会性)等相关领域倾斜。Mothers(母亲)被引用频次其次,母亲是儿童的主要抚养者,母亲的受教育程度、职业、年龄、敏感性和教养方式以及母亲的依恋风格都与儿童依恋有很大的关系。此外,另一类高频关键词如Security(安全型)、adjustment(适应)、risk(风险)、stress(压力)等,是儿童依恋在社会适应方面的研究方向。Psychopathology(精神病理学)出现频次也较高,说明儿童依恋也向精神病理学,即焦虑、抑郁等方面,这与Behavior(行为)问题研究方向一致,也有对受虐待史个体的依恋关系及其他与依恋相关的精神病症的研究,儿童依恋与Security(安全型)、Mothers(母亲)、Adjustment(适应)和Behavior Problems(行为问题)等关键词联系紧密,共同形成了一个小型的关键词群共现网络。为了进一步对当前研究的领域做出概况,利用共同信息法(mutual information)法生成关键词聚类图谱,结果显示:对儿童依恋的研究主题主要集中在家庭因素(母亲敏感性、教养方式)、儿童的适应状况(行为问题、情绪问题)、儿童特质(儿童健康、儿童气质)以及社会支持(干预)等方面。在Citespace中选择术语词(Term Type)为突发词(Burst Terms)共检索到39个突发词,随后将节点类型(Node Types)选择为术语词(term),其他参数保持系统默认,结果表明,从2006-2011年,对儿童依恋的研究主题主要集中在亲子关系,2009年以后逐渐集中在孩子的情感社会技能上。
This study was to use scientific knowledge mapping software, based on keywords and sudden word, to reflect children's attachment research hot spot and front in the visual form during 2006-2014, in the hope to have a overall and comprehensive understanding and grasp of international research on children's attachment, providing some enlightenment to the domestic study of attachment. Literature comes from the American institute for scientific information Web of Science database, retrieval method is: TS =(child attachment) not(adult attachment), database =(SCI- EXPANED, SSCI), time span = 2006-2014, literature type =(Article). Retrieved 3329 articles, each article citations, including the authors, institutions, abstract, key words, publication year,(volume) and references, etc. Transcribing data for November 30, 2014.The discretion of the keywords is the concise of a paper, children's attachment keywords that appeared in different periods of frequency reflected the research focus on the children's attachment and direction. In these keywords node, the word ‘behavior' is biggest and most cited, suggesting that in nearly 9 years, children's attachment research hot spot gradually towards children's internalizing behavior(depression, loneliness, self-esteem, externalizing behaviors(attacks, empathy, and social) and other related fields. The word ‘mothers' was secondly cited, mother is the primary caregivers, the mother's level of education, occupation, age, sensitivity and upbringing, and her own attachment style has a lot to do with children's attachment. In addition, other kinds of high frequency keywords such as security, the adjustment, risk, stress and so on, were the children's attachment to the research direction in terms of social adaptation. The word Psychopathology's frequency was also high, showed that children's attachment to the Psychopathology, such as anxiety, depression, etc., it was related to behavior studies in the same direction, there was research about the individual attachment relations and other mental disorders associated with attachment. children's attachment and Security, Mothers, Adjustmen, Behavioral Problems), and other key words closely associated with each other, jointly formed a small group of keywords co-occurrence network. In order to make a summary about the current research field, using the method of mutual information method(mutual information) generated keywords cluster map as shown in figure 1. Figure 2 showed the evolution of sudden keywords.

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