Normality tests for statistical analysis: A guide for non-statisticians

3.2kCitations
Citations of this article
11.5kReaders
Mendeley users who have this article in their library.

Abstract

Statistical errors are common in scientifc 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 Kowsar Corp.

Author supplied keywords

Cite

CITATION STYLE

APA

Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free