https://doi.org/10.5812/ijem.3505

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

authors:

avatar Asghar Ghasemi 1 , avatar Saleh Zahediasl 1 , *

Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, zahedi@endocrine.ac.ir, IR Iran
International Journal of Endocrinology and Metabolism: Vol.10, issue 2; 486-489
published online: April 20, 2012
article type: Article Commentary
received: November 21, 2011
accepted: January 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): 486-489. 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.

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talia khan
2022-04-16 12:35:46
i want to complete my assessment in MPH

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Ripudaman kuar
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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