The Limitation of Widely Used Data Normality Tests in Clinical Research
Abstract
Editorial
[1] Tanizaki H. Power comparison of non-parametric tests: Small-sample properties from Monte Carlo experiments. J Appl Stat. 1997;24(5):603-32. [DOI:10.1080/02664769723576]
[2] Nahm FS. Nonparametric statistical tests for the continuous data: the basic concept and the practical use. Korean J Anesthesiol. 2016;69(1):8-14. [DOI:10.4097/kjae.2016.69.1.8]
[3] Ee PW. Personal listening devices: a survey of attitudes, knowledge, and usage patterns among students at the School of Health Sciences, Universiti Sains Malaysia. [Undergraduate thesis]. Kelantan, Malaysia: Universiti Sains Malaysia; 2018.
[4] Zakaria MN. The values of effect size in statistical decision for clinical research. Aud Vestib Res. 2017;26(1):1-3.
[2] Nahm FS. Nonparametric statistical tests for the continuous data: the basic concept and the practical use. Korean J Anesthesiol. 2016;69(1):8-14. [DOI:10.4097/kjae.2016.69.1.8]
[3] Ee PW. Personal listening devices: a survey of attitudes, knowledge, and usage patterns among students at the School of Health Sciences, Universiti Sains Malaysia. [Undergraduate thesis]. Kelantan, Malaysia: Universiti Sains Malaysia; 2018.
[4] Zakaria MN. The values of effect size in statistical decision for clinical research. Aud Vestib Res. 2017;26(1):1-3.
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| Issue | Vol 31 No 1 (2022) | |
| Section | Editorial | |
| DOI | https://doi.org/10.18502/avr.v31i1.8127 | |
| Keywords | ||
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How to Cite
1.
Zakaria MN. The Limitation of Widely Used Data Normality Tests in Clinical Research. Aud Vestib Res. 2022;31(1):1-3.
