Assessing the robustness of normality tests under varying skewness and kurtosis: a practical checklist for public health researchers

Performance of Normality tests are significantly influenced by sample size, skewness, and kurtosis. The findings of this study contribute to improving statistical practices in public health research by providing a practical, evidence-based checklist for selecting appropriate normality tests based on these key sample characteristics.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-09-01
DOI
https://doi.org/10.1186/s12874-025-02641-y
Citations
9
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
23.67
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article

Assessing the robustness of normality tests under varying skewness and kurtosis: a practical checklist for public health researchers

K. Varsha, Asha Kamath, Satyanarayana Poojari
9 citations
BMC Medical Research Methodology
Advanced Statistical Methods and Models
23.67
article

Assessing the robustness of normality tests under varying skewness and kurtosis: a practical checklist for public health researchers

K. Varsha, Asha Kamath, Satyanarayana Poojari
article en
9 citations

Abstract

Performance of Normality tests are significantly influenced by sample size, skewness, and kurtosis. The findings of this study contribute to improving statistical practices in public health research by providing a practical, evidence-based checklist for selecting appropriate normality tests based on these key sample characteristics.

BMC Medical Research MethodologyVol. 25(1)
Manipal Academy of Higher Education (IN)
Openalex Percentile: Top 0%
Advanced Statistical Methods and Models
23.67
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