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Perceived Subtle Gender Bias Index: Development and Validation for Use in Academia
Psychology of Women Quarterly ( IF 4.292 ) Pub Date : 2019-10-08 , DOI: 10.1177/0361684319877199
Nellie Tran 1 , Rashelle B. Hayes 2 , Ivy K. Ho 3 , Sybil L. Crawford 4 , Julie Chen 5 , Judith K. Ockene 6 , Meg Bond 3 , Paula Rayman 7 , Brita Dean 8 , Sable Smith 3 , Luanne Thorndyke 4 , Patricia Frankin 9 , Deborah Plummer 10 , Lori Pbert 6
Affiliation  

In this article, we present the development and validation of the Perceived Subtle Gender Bias Index. Given the inherent difficulty in identifying and measuring the perceptions of subtle gender biases, this index provides researchers and interventionists with a tool that does not require participants to identify/label an event as a gender bias incident. We used a mixed method and constructivist approach that prioritized and privileged the voices and experiences of women in science, technology, engineering, and mathematics (STEM). The current article describes two studies: (1) index development and (2) index refinement and validation, using a national survey of women academics (N = 882). Findings support a four-subscale structure, including perceived gender inequity, collegiality, mentorship, and institutional support. Methods and analyses support face, convergent, discriminant, and predictive validity for the use of the index among academic faculty women. Additional online materials for this article are available on PWQ’s website at http://journals.sagepub.com/doi/suppl/10.1177/0361684319877199

中文翻译:

感知微妙的性别偏见指数:在学术界使用的开发和验证

在本文中,我们介绍了感知微妙性别偏见指数的开发和验证。鉴于识别和衡量对微妙性别偏见的看法固有的困难,该指数为研究人员和干预者提供了一种工具,不需要参与者将事件识别/标记为性别偏见事件。我们使用混合方法和建构主义方法,优先考虑女性在科学、技术、工程和数学 (STEM) 领域的声音和经验。当前文章描述了两项研究:(1) 指数发展和 (2) 指数细化和验证,使用全国女性学者调查 (N = 882)。调查结果支持四个子量表结构,包括感知的性别不平等、合议、指导和机构支持。方法和分析支持在学术界女性中使用该指数的面效、收敛效度、判别效度和预测效度。本文的其他在线材料可在 PWQ 的网站上获得:http://journals.sagepub.com/doi/suppl/10.1177/0361684319877199
更新日期:2019-10-08
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