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<xml>
<records>
<record>
<title>A desktop calculator for effect sizes: Towards the new statistics</title>
<authors>
<author>WenJun Zhang</author>
</authors>
<affiliations>
<affiliation>
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
</affiliation>
</affiliations>
<journal>Computational Ecology and Software</journal>
<issn>ISSN 2220-721X</issn>
<homepage>http://www.iaees.org/publications/journals/ces/online-version.asp</homepage>
<year>2023</year>
<volume>13</volume>
<issue>4</issue>
<startpage>136</startpage>
<endpage>181</endpage>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<location>Hong Kong</location>
<date>
<received>5 July 2023</received>
<accepted>11 July 2023</accepted>
<published>1 December 2023</published>
</date>
<keywords>
<keyword>effect sizes</keyword>
<keyword>calculation</keyword>
<keyword>offline</keyword>
<keyword>software</keyword>
<keyword>new statistics</keyword>
</keywords>
<abstract>
Effect size is a statistical concept which measures the strength of the relationship between two variables. Effect size has basic properties such as measurement unit independence, sample size independence, and monotonicity. In particular, unlike statistical significance test, effect size is not influenced by sample size. Effect size avoids various problems in statistical significance tests. It is one of the important contents in constructing new statistics. In present study, various effect sizes were mathematically described and a free desktop calculator for effect sizes was presented.
</abstract>
<url>http://www.iaees.org/publications/journals/ces/articles/2023-13(4)/desktop-calculator-for-effect-sizes.pdf</url>
</record>
</records>
</xml>
