在对话与公平:定性参与定量数据公平的社会影响

IF 1.3 Q3 PUBLIC ADMINISTRATION
Robert W. Ressler, Michelle Weiner, Dolores Acevedo-Garcia
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引用次数: 0

摘要

摘要要在公共服务机构实现种族平等方面取得有意义的进展,就需要做出基于平等的决策,而这本身就需要使用基于平等的数据。然而,公共和非营利组织在不同程度上准备使用这些数据并做出以股权为重点的决策。我们利用定性研究来研究儿童医院如何使用以公平为重点的社区数据来了解他们所服务人群中的种族/民族不平等现象,并最终做出有助于纠正这些不平等现象的决定。数据生产者和用户之间的互动不仅包括技术交流,还包括采用以公平为中心的共享分析框架,以及“紧张”的对话。我们的分析表明,对组织内部定量数据的使用进行定性询问可能有助于克服知识、组织和公平准备障碍,以获得公平的结果。将以平等为中心的数据用于数据驱动的决策是相关的,因此定性研究方法可以促进改变组织实践以改善种族平等所需的反身性和批判性思维。采用定性方法可以帮助数据生产者更加严格地构建和传播数据。促进平等对话也有助于改善与数据用户的关系,这对于促进种族平等的数据合作是必要的。感谢Lindsay Rosenfeld和Jessica Kramer在之前的草案中提供的有用信息,以及COI的许多用户,包括那些对本研究做出贡献的用户。披露声明作者未报告潜在的利益冲突。注1 COI 2.0是在人口普查区水平上衡量儿童邻里机会的综合指数。它是由布兰迪斯大学海勒社会政策与管理学院的diversitydatakids.org项目开发的,我们也是其中一员。完整的索引数据、文档和COI互动地图可在项目网站diversitydatakids.org上获得。2我们使用假名和性别中立的语言,为所有参与者保持匿名。这项工作得到了Robert Wood Johnson基金会[grant 71192]和W.K. Kellogg基金会[grant P3036220]的支持。赞助方在研究设计、分析、数据解释、撰写手稿或提交发表方面没有任何作用。本研究没有收到额外的外部资金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In Conversation with Equity: Qualitatively Engaging Quantitative Data for Equitable Social Impact
AbstractMaking meaningful progress towards achieving racial equity in public serving institutions requires making equity-informed decisions, which itself requires the use of equity-oriented data. Public and nonprofit organizations, however, are at varying degrees of readiness to use this data and to make equity-focused decisions. We draw on qualitative research to examine how children’s hospitals use equity-focused neighborhood data to understand racial/ethnic inequities in the populations they serve and eventually to make decisions that can help correct these inequities. The interactions between data producers and users involve not only technical exchanges, but also the adoption of shared analytic frameworks that center equity, as well as “nervous” conversations. Our analysis indicates that qualitative interrogations of the use of quantitative data within organizations may help to overcome knowledge, organization, and equity readiness barriers to equitable outcomes. Using equity-focused data for data-driven decision-making is relational, so qualitative research methods can facilitate the reflexivity and critical mindsets needed to change organizational practices to improve racial equity. Employing qualitative methods can help data producers make their construction and dissemination of data more rigorous. Facilitating equity conversations can also help improve relationships with data users, which is necessary for data collaborations to promote racial equity.Keywords: Racial equitydataorganizationsqualitative methods AcknowledgmentsThank you to Lindsay Rosenfeld and Jessica Kramer for your helpful input in previous drafts as well as to the many users of the COI, including those that contributed to this research.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 The COI 2.0 is a composite index of neighborhood opportunity for children measured at the census tract level. It has been developed by the diversitydatakids.org project at Heller School for Social Policy and Management, Brandeis University, of which we are a part. Complete index data, documentation, and a COI interactive map are available at the project website, diversitydatakids.org.2 We use pseudonyms and gender-neutral language for all participants to preserve anonymity.Additional informationFundingThe work was supported by the Robert Wood Johnson Foundation [grant 71192] and the W.K. Kellogg Foundation [grant P3036220]. The sponsors played no role in study design, analysis, interpretation of data, writing of the manuscript, or submission for publication. There was no additional external funding received for this study.
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来源期刊
Public Integrity
Public Integrity PUBLIC ADMINISTRATION-
CiteScore
2.30
自引率
50.00%
发文量
85
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