Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지
DOI QR코드

DOI QR Code

A case study on verification of internet survey

인터넷 설문조사의 검증에 관한 사례연구

  • 류귀열 (서경대학교 컴퓨터과학과) ;
  • 문영수 (한국과학기술정보연구원)
  • Received : 2013.08.20
  • Accepted : 2013.09.23
  • Published : 2014.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

The object of study is to verify the accuracy of internet survey by comparing database data and internet survey. Internet survey was conducted on August, 2012. Respondents were subscribers of KISTI NDSL. Variables were age, organization as demographic variables, number of use, and period of use as attitude variables. Mismatch rates of age, organization, number of use, and period, are 7.5%, 5%, 92%, and 55% respectively. We could estimate the mismatch rate for age as 3% as a pessimistic point of view, and 1% as an optimistic point of view by detail verification. The mismatch rates of organization are 4.5% as a pessimistic point of view, and 2% as an optimistic point of view. The mismatch rates for the frequency of use, the period of use are very high, because measurement error, problems in memory, and internet attitude, etc. Implication of this study is that data of internet survey could be reliable. Many further researches are needed for verification of internet survey.

연구의 목적은 인터넷 설문조사에서 자료의 정확성을 데이터베이스의 자료와 설문조사 자료의 비교를 통해 검정하는 것이다. 설문조사는 2012년 8월 한국과학기술정보연구원의 NDSL 원문이용자를 대상으로 실시하였으며, 검증에 이용된 변수는 나이, 소속기관의 인구통계적 변수와 이용빈도, 이용기간의 행동 변수이다 1차 검정결과 불일치 비율은 나이가 7.5%, 소속기관 15%, 이용빈도 92%, 이용기간 55%로 높게 나타났다. 상세검정을 통해 나이에 대한 불일치 비율을 비관적으로 3%, 낙관적으로 1%로, 소속기관에 대한 불일치 비율을 비관적으로 4.5%, 낙관적으로 2%로 추정할 수 있었다. 불일치비율을 1/4 이하로 대폭 축소시켰다. 이용빈도와 이용기간은 측정오차와 응답자의 기억력 문제, 인터넷 이용행태 등으로 불일치 비율이 높게 나타났다. 이러한 현상은 전통적 설문조사에도 간접적으로 적용될 수 있을 것이다. 본 연구의 결과는 인터넷 설문조사가 믿을만한 자료라는 점을 시사하고 있으며, 보다 정확한 검증을 위해 많은 후속 연구가 필요하다.

Keywords

References

  1. Couper, M. P. (2000). Web survey: A review of issues and approaches. Public Opinion Quarterly, 64, 464-494. https://doi.org/10.1086/318641
  2. Couper, M. P., Traugott, M. W. and Lamias, M. J. (2001). Web surveys: Review of issues and approaches. Public Opinion Quarterly, 65, 230-253. https://doi.org/10.1086/322199
  3. Gim, G. and Kim, G. (2004). Methodological issues in internet survey and development of personalized internet survey system using data mining techniques. Journal of the Korean Society for Quality Management, 32, 93-108.
  4. Heo, S. and Chang, D. (2011). Effect of threats to anonymity on data reliability in internet survey. Journal of the Korean Data & Information Science Society, 22, 785-794.
  5. Jeon, J. (2006). A study on the influencing factors of respondent’s reaction to internet survey. Journal of Marketing Management Research, 11, 95-113.
  6. Korea Communications Commission (2013). 2012 statistics for subscribers of wired or wireless telecommunications, Korea Communications Commission, Kyeonggi.
  7. Korea Internet & Security Agency (2013). 2012 Korea internet white paper, Korea Internet & Security Agency, Kyeonggi.
  8. Mehta, R. and Sivadas, E. (1995). Comparing response rates, response content and mail versus electronic mail surveys. Journal of the Marketing Research Society, 37, 429-446.
  9. Park, H., Nam, K., Kim H. and Lee, K. (2001). Implementation of probabilistic response system for achieving sensitive information. Proceedings of the Korean Data & Information Science Society, Oct. 30, 79-86.
  10. Park, H., Nam, K., Kim H. and Myung, H. (2005). Implementation of on-line survey and analysis system based on database structure. Journal of the Korean Data & Information Science Society, 13, 1-16.
  11. Park, H. and Pi, S. (2013). Study on the K-scale reflection the confidence of survey responses. Journal of the Korean Data & Information Science Society, 24, 41-51. https://doi.org/10.7465/jkdi.2013.24.1.41
  12. Ryu, G. and Moon, Y. (2013). A study on proposing a method for grouping R, F, and M in RFM model. Journal of the Korean Data & Information Science Society, 24, 245-255. https://doi.org/10.7465/jkdi.2013.24.2.245
  13. Ryu, J. (2001). Current state of implementation of on-line survey system. Proceedings of Korea Association for Survey Research, June 01, 141-156.
  14. Tse, A. (1998). Comparing the response rate, response speed and response quality of two methods of sending questionaires: E-mail vs mail. Journal of the Marketing Research Society, 40, 353-362.

Cited by

  1. 집단화된 통계자료의 도수다각형에 근거한 새로운 분위수 계산법 vol.28, pp.2, 2014, https://doi.org/10.7465/jkdi.2017.28.2.383