首页 | 本学科首页   官方微博 | 高级检索  
   检索      

潜在剖面分析在组织行为领域中的应用
引用本文:尹奎,彭坚,张君.潜在剖面分析在组织行为领域中的应用[J].心理科学进展,2020,28(7):1056-1070.
作者姓名:尹奎  彭坚  张君
作者单位:1.北京科技大学东凌经济管理学院, 北京 100083;2.广州大学管理学院, 广州 510006;3.北京石油化工学院人文社科学院, 北京 102617
基金项目:* 国家自然科学基金项目(71802019);国家自然科学基金项目(71902048);教育部人文社科基金项目(18YJC630230)
摘    要:以个体为中心的研究路径将各个变量看作是相互依赖的一个系统, 基于多项特征(变量)将被试分为多个子群体, 分析子群体的前因与影响。以个体为中心的研究路径理解更加直观、更贴近实践, 受到越来越多的关注。潜在剖面分析(latent profile analysis, LPA)是以个体为中心研究路径的典型分析技术。在总结归纳以个体与以变量为中心两种研究路径异同、LPA与传统以个体为中心的分析技术差异后, 系统梳理了LPA在组织行为学领域的应用主题, 并从研究主题选取、样本要求、理论使用、剖面数量确定等方面归纳了LPA应用的步骤与注意事项。最后, 提出了未来研究的方向。

关 键 词:以个体为中心  潜在剖面分析  异质性  
收稿时间:2018-12-10

The application of latent profile analysis in organizational behavior research
YIN Kui,PENG Jian,ZHANG Jun.The application of latent profile analysis in organizational behavior research[J].Advances In Psychological Science,2020,28(7):1056-1070.
Authors:YIN Kui  PENG Jian  ZHANG Jun
Institution:1.Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China;2.School of Management, Guangzhou University, Guangzhou 510006, China;3.Department of Human Resource Management and Public Administration, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Abstract:A person-centered approach views divergent variables as an interdependent system, and divides the sample into subgroups according to certain participant characteristics to analyze the antecedents and outcomes. This approach has earned much attention because it more closely approximates practice and easier to understand. Latent profile analysis (LPA) is one analytical tool typically used for such analysis. After comparing and contrasting person-centered and variable-centered approaches, and then LPA and similar analysis techniques, we systematically illuminate the domains of the field of organizational behavior where LPA can be applied. We then provide guidance for using LPA as a research method with regard to research theme, sample requirements, the use of theory, and the determination of profile number. Finally, we offer suggestions for the future development of LAP.
Keywords:person-centered  latent profile analysis  heterogeneity  
本文献已被 CNKI 等数据库收录!
点击此处可从《心理科学进展》浏览原始摘要信息
点击此处可从《心理科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号