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Computational Ecology and Software, 2024, 14(1): 48-67
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Article

ANOVA-nSTAT: ANOVA methodology and computational tools in the paradigm of new statistics

WenJun Zhang1, YanHong Qi2
1School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
2Sun Yat-sen University Library, Sun Yat-sen University, Guangzhou 510275, China

Received 25 July 2023;Accepted 28 August 2023;Published online 17 September 2023;Published 1 March 2024
IAEES

Abstract
Based on the statistical significance testing, the Analysis of Variance (ANOVA) is one of the most popular statistics widely used in experimental sciences. However, in recent years, the statistical significance testing has been widely criticized for its various shortcomings. To address this problem, in present article we developed the new ANOVA methodology in the paradigm of new statistics. In this methodology, effect size testing is added to six most used ANOVA methods and the finer p-value standardard is used in the statistical significance testing of eight ANOVA methods. Both online and offline computational tools are developed for free use.

Keywords analysis of variance (ANOVA);effect sizes;effect size testing;significance testing;standalone software;online computation.


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