{"title":"Bias correction for Cohen's <i>d</i>.","authors":"Xiaofeng Steven Liu","doi":"10.1080/00221309.2023.2172545","DOIUrl":null,"url":null,"abstract":"<p><p>Cohen's <i>d</i> - a common effect size - contains a positive bias. The traditional bias correction, based on strict distribution assumption, does not always work for a small study with limited data. The non-parametric bootstrapping is not limited by distribution assumption and can be used to remove the bias in Cohen's <i>d</i>. A real example is included to illustrate the implementation of bootstrap bias estimation and the removal of sizable bias in Cohen's <i>d</i>.</p>","PeriodicalId":47581,"journal":{"name":"Journal of General Psychology","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of General Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/00221309.2023.2172545","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/2/15 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Cohen's d - a common effect size - contains a positive bias. The traditional bias correction, based on strict distribution assumption, does not always work for a small study with limited data. The non-parametric bootstrapping is not limited by distribution assumption and can be used to remove the bias in Cohen's d. A real example is included to illustrate the implementation of bootstrap bias estimation and the removal of sizable bias in Cohen's d.
期刊介绍：
The Journal of General Psychology publishes human and animal research reflecting various methodological approaches in all areas of experimental psychology. It covers traditional topics such as physiological and comparative psychology, sensation, perception, learning, and motivation, as well as more diverse topics such as cognition, memory, language, aging, and substance abuse, or mathematical, statistical, methodological, and other theoretical investigations. The journal especially features studies that establish functional relationships, involve a series of integrated experiments, or contribute to the development of new theoretical insights or practical applications.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
