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

AUTHORS

Asghar Ghasemi 1 , Saleh Zahediasl 1 , *

AUTHORS INFORMATION

1 Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, zahedi@endocrine.ac.ir, IR Iran

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
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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.

Keywords

Normality Statistical Analysis

© 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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