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

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 ove...

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Detalles Bibliográficos
Autores principales: Ghasemi, Asghar, Zahediasl, Saleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2012
Materias:
Statistical Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693611/
https://www.ncbi.nlm.nih.gov/pubmed/23843808
http://dx.doi.org/10.5812/ijem.3505
Descripción
Sumario: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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