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International Journal of Endocrinology and Metabolism
Research Institute for Endocrine Sciences
e-ISSN 1726-9148
p-ISSN 1726-913X
Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
Authors
1Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, [email protected], IR Iran
*Corresponding Author: Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, [email protected], IR Iran. Tel: +98-2122409309. Fax: +98-2122402463. Email: [email protected]
Published online:Apr 20, 2012
Article type:Letter
Received:Nov 21, 2011
Accepted:Jan 28, 2012
How to Cite:Ghasemi A, Zahediasl S. Normality Tests for Statistical Analysis: A Guide for Non-Statisticians. Int J Endocrinol Metab. 2012;10(2):. doi: https://doi.org/10.5812/ijem.3505
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.
Highlights
Copyright
© 2012, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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