›› 2018, Vol. 30 ›› Issue (3): 161-170.

• 组织行为与人力资源管理 • 上一篇    下一篇

匹配研究中使用响应面分析的方法

柏帅蛟1, 井润田2, 李璞1, 陈璐3, 李贵卿4   

  1. 1. 成都理工大学管理科学学院, 成都 610059;
    2. 上海交通大学安泰经济与管理学院, 上海 200030;
    3. 电子科技大学经济与管理学院, 成都 611731;
    4. 成都信息工程大学管理学院, 成都 610103
  • 收稿日期:2015-07-03 出版日期:2018-03-28 发布日期:2018-03-26
  • 作者简介:柏帅蛟,成都理工大学管理科学学院讲师,博士;井润田,上海交通大学安泰经济与管理学院教授,博士生导师,博士;李璞,成都理工大学管理科学学院教授;陈璐,电子科技大学经济与管理学院副教授,博士;李贵卿,成都信息工程大学管理学院教授,博士
  • 基金资助:

    国家自然科学基金重点项目(71432005);国家自然科学基金面上项目(71272206;71472024);教育部人文社科基金项目(15YJA630098);中央高校基本科研项目(ZYGX2016J246)。

Using Response Surface Analysis in P-E Fit Researches

Bai Shuaijiao1, Jing Runtian2, Li Pu1, Chen Lu3, Li Guiqing4   

  1. 1. College of Management Science, Chengdu University of Technology, Chengdu 610059;
    2. Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030;
    3. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731;
    4. School of Management, Chengdu University of Information Technology, Chengdu 610103
  • Received:2015-07-03 Online:2018-03-28 Published:2018-03-26

摘要:

基于二次多项式回归的响应面分析方法是个人-环境匹配研究中重要的分析方法,但目前并未得到足够的应用(尤其是国内)。本文简要地介绍了响应面的基本特征,讨论了三类假设的检验方法及其原理,并使用实例作了详细的说明,最后总结了在匹配研究中使用响应面分析方法需要注意的问题。希望为相关研究者提供有益的参考,同时推动该方法在国内相关领域的应用。

关键词: 个人-环境匹配, 二次多项式回归, 响应面分析, 假设检验

Abstract:

Response surface analysis based on quadratic polynomial regression has been proposed to overcome some general problems of traditional methods, and become an important analysis method with its visual and vivid natures. However, the literature review shows that very few researchers in China adopt this method though its application can be seen in a few international journals. Otherwise, there is a need to provide a detailed explanation for readers to understand the concrete analyzing process. Under this context, this paper briefly introduces the key characteristics of response surface and then gives detailed explanation for how to use response surface analysis in person-environment fit researches and how to use this method with hierarchical linear model (HLM) when the data are nested. Relevant examples are provided for readers. The main purposes are to provide beneficial reference for scholars and to promote the application of the method, especially in China.

Key words: person-environment fit, quadratic polynomial regression, response surface analysis, hypotheses test method