고객만족도 조사도구의 차원별 가중치 부여방법 비교 |
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강명근1, 조우현2, 이선희1, 최귀선1, 문기태2 |
1이화여자대학교 의과대학 예방의학교실 2연세대학교 의과대학 예방의학교실 |
A Comparative Study on the Methods for Weighting the Dimensions of Customer Satisfaction with Importance Perceived by Customers |
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Myunggeun Kang1, Woohyun Cho2, Sunhee Lee1, Kuison Choi1, Kitae Mooon2 |
1Department of Preventive Medicine, College of Medicine, Ewha Womans University 2Department of Preventive Medicine, College of Medicine, Yonsei University |
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Abstract |
Background The measuring instruments for customer satisfaction in hospitals are often composed of some dimensions reflecting the conceptive complexity of them. Then, overall satisfaction would be expected to be equal the 'weighted' sum of scores by dimensions because the importance rated by customers may be different across the dimensions. But the issue of how to weight the dimensions with importance is not yet solved. We examined 3 sets of weighting methods as to make effect on predictive power against overall satisfaction. Methods We conducted a survey included 483 subjects who had visited or admitted to a university hospital, using the short form questionnaire being developed by The Korean Society of Quality Assurance in Health Care for out-patient and in-patient. By using a multiple linear regression model, we compared among changes of explanatory powers against overall satisfaction as dependent variable after weighting 4 dimensions of the survey questionnaire as independent variables with importance scores of dimensions perceived by consumers. And we compared the feasibility of each weighting, methods by checking missing cases. Results There were no weighting methods increasing the explanatory power after applying them. The method of absolute scoring was found higher explanatory-power than others, but this finding had no statistical significance. Regarding the number of missing value, method of absolutely scoring had the least cases. Conclusion Our findings suggested that weighting the dimensions with importance might have little significance in the cases of scales having items highly correlated, such as consumers' satisfaction. Though asking with items to be answered absolutely, customers might be rating relatively in some degree and this method produced least missing cases. Considering these points, in the cases when weighting the dimensions with importance would be required, we suggest that weighting method by absolute scoring might be better than others. |
Key words
Weighted scale;Customer satisfaction;Importance of dimensions; |
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