무응답을 포함하는 범주형 자료의 분석

Analysis of categorical data with nonresponses

  • 박태성 ((449-791) 경기도 용인시 모현면 왕산리 산 89, 한국외국어대학교 통계학과) ;
  • 이승연 ((134-071) 서울시 광진구 군자동 98, 세종대학교 응용통계학과)
  • 발행 : 1998.03.01

초록

본 논문에서는 여론조사를 비롯한 표본조사에서 얻어지는 범주형 자료에서 결측치(missing observation)나 무응답(nonresponse)이 발생했을 때 이러한 자료를 적절하게 처리하여 분석할 수 있는 통계모형을 소개하고 실제 사례로서 1948년도에 미국에서 실시한 대통령 선거에 대한 여론조사 자료를 분석하였다. 당시 미국 여론조사 기관에서는 Dewey 후보가 압승을 거둘 것으로 예상을 했지만 실제 선거에서는 Truman 후보가 승리했었다.

Statistical models are proposed for analyzing categorical data in the presence of missing observations or nonresponses which might occur in the sampling surveys and polls. As an illustration, we analyzed real polling data of the pre-presidential election in the USA, 1948, It had been predicted that Dewey would win the election. However, Truman won in the actual election.

키워드

참고문헌

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