Publisher : Korean Data and Information Science Society
DOI : 10.7465/jkdi.2016.27.2.373
Title & Authors
A simulation comparison on the analysing methods of Likert type data Kim, Hyun Chul; Choi, Seung Kyoung; Choi, Dong Ho;
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.
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