SPSS를 활용한 결측치 처리 방안 비교 분석

• 영문명: Quantitative Methods for Missing Value in the Study of Public Administration - Focused on the Application of SPSS/MVA -
• 발행기관: 한국비교정부학회
• 저자명: 김덕준(Duck-Joon Kim)
• 간행물 정보: 『한국비교정부학보』제13권 제1호, 177~196쪽, 전체 20쪽
• 주제분류: 사회과학 > 행정학
• 파일형태: PDF
• 발행일자: 2009.07.30

영문 초록

This study illuminates some quantitative methodology for missing data in the research of public administration. Based on theories of missing value, this paper explains the importance of statistical treatment of missing data. The paper applies SPSS to a real data set to compare/evaluate the list-wise deletion method, the UM method, the EM algorithm method, and the stochastic regression method. Results clearly indicate that the list-wise deletion method turns out to provide inefficient and even biased estimates. The UM method reveals serious weakness in terms of its curtailed standard errors for estimates. Thus, it can be argued that some other scientific methodologies such as the EM method or regression method should be contrived and utilized. Both of the EM method and regression method could provide a lot more efficient and reliable statistics for some data sets. It should be also noted that they cannot be a remedy for all types of missing data. Researchers should seek the available information on the mechanism of missing data. Then, they can utilize this information in choosing their statistical weapons to treat the problem.

목차

I. 문제의 제기

II. 분석결과에 미치는 결측치의 영향

III. 결측치의 보완 기법

IV. 보완 기법의 적용

V. 요약과 함의

참고문헌

키워드

결측치 완전제거법 평균대체법 EM 알고리즘 오차항 회귀분석기법 missing value em algorithm stochastic regression list-wise deletion unconditional mean imputation