Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Method Finding Representative Questionare for Mutual Information and Entropy

상호정보와 엔트로피를 활용한 대표문항 선택방법

  • Choi, Byong-Su (Department of Multimedia Engineering, Hansung University) ;
  • Kim, Hyun-Ji (Department of Statistics, Sungkyunkwan University)
  • 최병수 (한성대학교 멀티미디어공학과) ;
  • 김현지 (성균관대학교 통계학과)
  • Received : 20100400
  • Accepted : 20100600
  • Published : 2010.07.31
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Abstract

A questionnaire may consist of duplicated or similar items. This study finds the duplicated or similar items by using the MDS and the cluster analysis of response patterns. By identifying the characteristics of the cluster, those items are combined into a representative item. The similarity of items is measured by the mutual information.

설문문항에는 유사한 문항이나 중복문항이 있는 경우들이 있다. 본 연구에서는 전체 문항의 응답패턴을 군집분석하여 군집의 성격을 파악하고, 유사한 문항을 묶어 대표 문항을 찾는 방법을 시도하였다. 문항의 유사정 측정은 상호정보를 이용하였고 군집분석과 다차원척도법을 이용하여 대표 문항을 찾는 방법을 제안 하였으며 엔트로피를 이용하여 대표 문항을 평가하였다.

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References

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