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

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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

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