A simulation comparison on the analysing methods of Likert type data

모의실험에 의한 리커트형 설문분석 방법의 비교

  • Kim, Hyun Chul (Department of Statistics and Computer Science, Kunsan National University) ;
  • Choi, Seung Kyoung (Department of Statistics, Sookmyung Women's University) ;
  • Choi, Dong Ho (Department of Education, Sungkyunkwan University)
  • 김현철 (군산대학교 통계컴퓨터과학과) ;
  • 최승경 (숙명여자대학교 통계학과) ;
  • 최동호 (성균관대학교 교육학과)
  • Received : 2016.02.22
  • Accepted : 2016.03.25
  • Published : 2016.03.31


Even though Likert type data is ordinal scale, many researchers who regard Likert type data as interval scale adapt as parametric methods. In this research, simulations have been used to find out a proper analysis of Likert type data. The locations and response distributions of five point Likert type data samples having diverse distribution have been evaluated. In estimating samples' locations, we considered parametric method and non-parametric method, which are t-test and Mann-Whitney test respectively. In addition, to test response distribution, we employed Chi-squared test and Kolmogorov-Smirnov test. In this study, we assessed the performance of the four aforementioned methods by comparing Type I error ratio and statistical power.


Supported by : 군산대학교


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