在STEM和生物医学研究培训计划中衡量代表性不足的人口人口统计的包容性方法
概括
包容性的人口数据收集对于STEM多样性至关重要. 包括性少数群体,性 (取向) 少数群体和性别少数群体 (SSGM) 等类别有助于识别和解决生物医学研究培训计划中的不平等问题.
科学领域:
- 生物医学研究培训培训
- STEM教育 公平 公平 公平
背景情况:
- 联邦倡议越来越多地强调生物医学劳动力的多样性.
- STEM课程旨在招募和留住来自历史上代表性不足的群体的学生.
- 传统的人口学描述符需要批判性评估才能有效收集数据.
研究的目的:
- 检查和推在STEM课程中收集人口统计数据的最佳实践.
- 提出超越传统措施的包容性人口类别.
- 提高解决生物医学研究培训中的不平等问题的能力.
主要方法:
- 在STEM项目中召集以公平为重点的研究人员和领导者.
- 优先考虑关键的人口变量:性别,种族/民族,残疾和处境不利的背景.
- 为人口统计问题开发操作化的措辞.
主要成果:
- 建议包括性少数群体,性 (性取向) 少数群体和性别少数群体 (SSGM) 的类别.
- 为人口问题措辞和计划实施提供了可行的建议.
- 强调了包容性人口统计学在识别边缘化群体方面的作用.
结论:
- 包容性的人口统计措施对于识别和纠正生物医学研究培训中的不平等是必不可少的.
- 这些措施支持招聘和留住代表性不足的学生.
- 有细微差别的数据收集有助于对交叉性的研究,并促进学员的公平获取和成果.
关键词:
可访问性 可访问性适应的人口统计学评估评估的方法生物医学 生物医学文化多样性 文化多样性数据可视化 数据可视化障碍障碍是指残疾人的残疾.劣势的背景 劣势的背景不平等的差异 差异的差异不平等性 不平等性股权资本 股权资本民族身份 民族身份评价 评价 评价性别认同的性别认同健康上的不平等 卫生上的不平等高中 高中的学校 高中在历史上代表性不足移民移民是移民的移民.包容 包容 包容 包容 包容这是一个LGBTQ++的社区.语言 语言 语言 语言测量方法 测量方法在中学中学中学.专业发展专业发展项目评估 项目评估种族 种族 种族 种族难民是一个难民.报告报告报告 报告报告研究研究研究研究研究研究.研究教育教育研究.科学教育科学教育教育.性取向性取向性取向性取向性性取向 认同 性取向 认同学生 学生 学生 学生 学生培训 培训 培训 培训 培训本科 本科生 本科生 本科生易受伤害的人群 易受伤害的人群劳动力 劳动力 劳动力 劳动力更多相关视频
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