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Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

AUTHORS

Asghar Ghasemi 1 , Saleh Zahediasl 1 , *

1 Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, [email protected], IR Iran

How to Cite: Ghasemi A, Zahediasl S. Normality Tests for Statistical Analysis: A Guide for Non-Statisticians, Int J Endocrinol Metab. Online ahead of Print ; 10(2):486-489. doi: 10.5812/ijem.3505.

ARTICLE INFORMATION

International Journal of Endocrinology and Metabolism: 10 (2); 486-489
Published Online: April 20, 2012
Article Type: Article Commentary
Received: November 21, 2011
Accepted: January 28, 2012
DOI : 10.5812/ijem.3505
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Abstract

Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.

© 2012, International Journal of Endocrinology and Metabolism. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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Ripudaman kuar says:

2019-04-19 05:09:33
Very helpful paper. it justifies its title with lots and lots of references. will be citing it in my thesis work. Thanks a lot to the author for making it open access .

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