Advanced SearchSearch Tips
A simulation comparison on the analysing methods of Likert type data
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A simulation comparison on the analysing methods of Likert type data
Kim, Hyun Chul; Choi, Seung Kyoung; Choi, Dong Ho;
  PDF(new window)
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.
Interval scale;Likert-type scale;nonparametric method;ordinal scale;parametric method;
 Cited by
A study on an evaluation system by factor loadings, Journal of the Korean Data and Information Science Society, 2016, 27, 5, 1285  crossref(new windwow)
Agresti, A. (1996). An introduction to categorical data analysis, Wiley, New York.

Clason, D. L. and Dormody, T. J. (1994). Analyzing data measured by individual Likert-type items. Journal of Agricultural Education, 35, 31-35.

Cliff, N. (1993). Dominance statistics: Ordinal analyses to answer ordinal questions. Psychological Bulletin, 114, 494-509. crossref(new window)

De Winter, J. C. F. and Dodou, D. (2010). Five-point Likert items: T test versus Mann-Whitney-Wilcoxon. Practical Assemssment, Research & Evaluation, 11, 1-16

Goldstein, G. and Hersen, M. (1984). Handbook of psychological assessment, Pergamon Press, New York.

Kromrey, J. D. and Hogarty, K. Y. (1998). Analysis options for group difference on ordered categorical variables: An empirical investigation of type I error control and statistical power. Multiple Linear Regression Viewpoints, 25, 70-82.

Lee, K. H. and Kwon, Y. M. (2015). Influence of sociopsychological aspects, smoking habit, exercise habit on the intentions of drink-driving. Journal of the Korean Data & Information Science Society, 26, 21-29. crossref(new window)

Lee, M. O. (2015). A study on differences by gender in influence of recognition, usage, convenience and preference on purchase intention for traditional korean rice cake. Journal of the Korean Data & Information Science Society, 26, 875-883. crossref(new window)

Mogey, N. (1999). So you want to use a Likert scale? scale.

Traylor, M. (1983). Ordinal and interval scaling. Journal of Market Research Society, 25, 297-303.

Warachan, B. (2011). Appropriate statistical analysis for two independent groups of likert-type data. Ph. D. Thesis, American University, Washington D.C..