Editorial: A Step-by-step Statistical Decision Framework for a Gender-inclusive Approach in Sport and Exercise Science Research

社论:运动与锻炼科学研究中性别包容性方法的逐步统计决策框架

阅读:1

Abstract

The conflation of sex and gender in sport and exercise science research has led to gaps in representation and understanding of gender-inclusive outcomes. This invited editorial presents a framework to guide researchers in conducting statistical analyses that account for multiple gender identities beyond the traditional binary classification. The invited editorial guides deliberation on whether to test for sex or gender differences in sport or exercise science research. It prompts investigators to answer the question, "Is there a valid, literature-supported rationale for investigating sex or gender differences?" If "yes", we propose approaches that may help investigators plan a study for two sex or gender groups, or in situations with three or more sex or gender groups. The editorial provides a valid, step-by-step statistical decision framework to ensure a robust, and ethical, research design while addressing the limitations of current sex- and gender-based classifications in sport and exercise science. By adopting gender-inclusive research practices, the field can better support equitable exercise prescriptions, rehabilitation strategies, and training periodization for diverse populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。