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中国心理学前沿

Psychology of China

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ISSN Online: 2664-1801
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入伍动机研究(1996—2023)——基于CiteSpace及Nvivo的可视化分析

Study on Enlistment Motivation (1996-2023): Visual Analysis Based on CiteSpace and Nvivo

中国心理学前沿 / 2025,7(1):26-31 / 2025-01-20 look18 look15
  • 作者: 魏新丽¹      杜江红¹      李宇婷¹      刘兆杰²      石春燏¹     
  • 单位:
    1.苏州科技大学教育学院,苏州;
    2.苏州科技大学马克思主义学院,苏州
  • 关键词: 入伍动机;大学生;Citespace ;Nvivo
  • Enlistment motivation; College students; Citespace; Nvivo
  • 摘要: 为了从宏观和微观上把握入伍动机研究的内容和脉络,促进入伍动机研究新的、高层次的突破。以量化和质化两种方法相结合,利用Citespace可视化分析软件和Nvivo文本分析工具,对中国知网收录的“入伍动机”为主题的文献进行深入分析。研究发现,入伍动机研究从开始到现在在发文数量上整体偏少,近年来表现为波浪式递增的状态,未来将持续发展;大学生成为参军入伍最受关注的群体,政策成为推动入伍的重要因素,士兵入伍动机不纯成为日益凸显的问题;从整个时间跨度上来看,入伍动机按重要程度依次表现为“就业发展”“自我磨炼”“报效祖国”“军营持续发展”“经济因素”,不同时间段上会略有区别。
  • In order to grasp the content and context of research on enlistment motivations from both macro and micro perspectives, and to promote new and higher-level breakthroughs in this field, this study combines quantitative and qualitative methods. Using Citespace for visual analysis and Nvivo for text analysis, the study conducts an in-depth examination of the literature on “enlistment motivation” indexed in China National Knowledge Infrastructure (CNKI). The research findings show that the number of publications on enlistment motivations has been relatively low overall since the beginning, but has shown a wave-like increase in recent years and is expected to continue to develop in the future. College students have become the most focused group in military recruitment, while policies have become a significant driving factor. The issue of impure enlistment motivations among soldiers has become increasingly prominent. Over the entire time span, enlistment motivations are ranked in terms of importance as follows: “employment development,” “self-improvement,” “serving the country,” “sustained development in the military,” and “economic factors,” with slight variations in different periods.
  • DOI: https://doi.org/10.35534/pc.0701005
  • 引用: 魏新丽,杜江红,李宇婷,等.入伍动机研究(1996—2023)——基于CiteSpace及Nvivo的可视化分析[J].中国心理学前沿,2025,7(1):26-31.
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