Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Handling the nonresponse in sample survey

설문조사에서의 무응답 처리

  • Received : 2012.10.04
  • Accepted : 2012.11.22
  • Published : 2012.11.30
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Abstract

When it comes to a survey, no answer would occur frequently. Therefore various methods for handling nonresponse have been applied to analyse the survey. In this paper, the ratio of occurrence of two type of nonresponse cases - unit nonresponse and item nonresponse - is presented using previous real survey data, and we compared complete data and data with nonresponse. We suggest the reason of happening of nonresponse and the ratio of nonresponse using data collected through group interviews.

설문조사를 실시할 경우 무응답이 발생하지 않는 경우는 매우 드문일이며 무응답이 발생할 경우 무응답처리에 대해서는 다양한 방법이 적용되고 있다. 본 논문에서는 무응답의 두 가지 유형인 단위무응답과 항목무응답의 발생비율을 기존에 조사된 실제 사례를 이용하여 파악하였으며, 무응답률에 따른 분석결과의 차이를 비교하였다. 또한, 대학생들을 대상으로 집단면접조사를 통해 직접 자료를 수집하였고 이 자료를 바탕으로 무응답률과 무응답이 발생하는 이유를 제시하였다.

Keywords

References

  1. Babbie, E. (2007). The practice of social research, 11th ed., Wadsworth, Belmont, CA.
  2. Choi, P. G. (2011). The study of imputation method for item nonresponse in the economic census, Research report, the first half of 2011, Statistical Center, Statistical Research Institute, Daejeon.
  3. Dufour, J., Gagnon, F., Morin, Y., Renaud, M. and Sarndal, C.-E. (2001). A better understanding of weight transformation through a measure of change. Survey Methodology, 27 97-108.
  4. Hedderley, D. and Wakeling, I. (1995). A comparison of imputation techniques for internal prefeerence mapping, using monte carlo simulation. Food Quality and Preference, 6, 281-297. https://doi.org/10.1016/0950-3293(95)00030-5
  5. Kalton, G. (1983). Compensating for missing survey data, Survey Research Center, Institute for Social Research, the University of Michigan, Ann Arbor, MI.
  6. Kang, M. A. and Kim, K. A. (2006). Handling of missing data in public policy studies. Public Administration Review, 40, 31-52.
  7. Kim, J. K., Han, G. S. and Yoon, Y. (2004). Nonresponse weighting adjustment inn Korea household income and expenditure survey. Journal of the Korean Official Statistics, 9, 79-102.
  8. Kim, K. S. (2000). Imputation methods for nonresponse and their effect. The Korean Association for Survey Research, 1, 1-12.
  9. Kim, Y. W. and Cho, S. K. (1996). Imputation method of item nonresponse in sample survey. Communications of the Korean Statistical Society, 3, 145-159.
  10. King, G., Honaker, J., Joseh, A. and Scheve, K. (2001). Analyzing incomplete political science data: An alternative algorithm for multiple imputation. American Political Science Review, 95, 49-69 https://doi.org/10.1093/poq/nfl033
  11. Ku, T. G. (2008). A study of Korean journalists' perception on poll reporting. Journal of Political Communication, 7, 47-82.
  12. Kwon, H. N. (1997). The 15th presidential election and the polls. Proceedings of The Korean Association of Broadcasting and Telecommunication, 159-166. https://doi.org/10.5351/KJAS.2002.15.1.033
  13. Kwon, H. N. (2006). Theory and practice of media election, Comunicationbooks, Seoul.
  14. National Election Commission. (2012). Voter opinion survey for the 19th assembly elections, National Election Commission, Seoul.
  15. Lee, S. W. and Kim, E. G. (1997). Statistical techniques for treatment of nonresponses in public health categorical data. Journal of the Korean Society of Health Statistics, 22, 114-132.
  16. Groves, R. M. (2006). Nonresponse rates and nonresponse bias in household surveys. Public Opinion Quarterly, 70, 646-675. https://doi.org/10.1093/poq/nfl033
  17. Santos, R. L. (1981). Effects of imputation on complex statistics, income survey development program, survey development research center in nonresponse and imputation report on additional task 2, Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI.
  18. Shin, H. W. and Sohn, S. Y. (2002). Comparing accuracy of imputation methods for categorical incomplete data. The Korean Journal of Applied Statistics, 15, 33-43. https://doi.org/10.5351/KJAS.2002.15.1.033
  19. Singleton, R. and Bruce S. (2005). Approaches to social research, 4th ed., Oxford University Press, New York.
  20. Yoon, Y. H. and Choi, B. (2012). Model selection method for categorical data with non-response. Journal of Korean Data & Information Science Society, 23, 627-641. https://doi.org/10.7465/jkdi.2012.23.4.627

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