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Comparison of Importance Weights for Regression Model and AHP: A Case of Students' Satisfaction with University

회귀모형과 AHP의 가중치에 대한 비교 연구: 대학생의 학교 만족도를 대상으로

  • Jong Hun, Park (Department of Business Administration, Daegu Catholic University)
  • Received : 2022.11.28
  • Accepted : 2022.12.12
  • Published : 2022.12.31

Abstract

This study attempts a comparison between AHP(Analytic Hierarchy Process) in which the importance weight is structured by individual subjective values and regression model with importance weight based on statistical theory in determining the importance weight of casual model. The casual model is designed by for students' satisfaction with university, and SERVQUAL modeling methodology is applied to derive factors affecting students' satisfaction with university. By comparison of importance weights for regression model and AHP, the following characteristics are observed. 1) the lower the degree of satisfaction of the factor, the higher the importance weight of AHP, 2) the importance weight of AHP has tendency to decrease as the standard deviation(or p-value) increases. degree of decreases. the second sampling is conducted to double-check the above observations. This study empirically checks that the importance weight of AHP has a relationship with the mean and standard deviation(or p-value) of independence variables, but can not reveal how exactly the relationship is. Further research is needed to clarify the relationship with long-term perspective.

Keywords

Acknowledgement

This work was supported by research grants from Daegu Catholic University in 2020.

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