Weight of Evidence: Participatory Methods and Bayesian Updating to Contextualize Evidence Synthesis in Stakeholders' Knowledge.

IF 3.8 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Journal of Mixed Methods Research Pub Date : 2022-07-01 Epub Date: 2021-10-13 DOI:10.1177/15586898211037412
Anna Dion, Alessandro Carini-Gutierrez, Vania Jimenez, Amal Ben Ameur, Emilie Robert, Lawrence Joseph, Neil Andersson
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引用次数: 9

Abstract

Mixed methods research is well-suited to grapple with questions of what counts as valid knowledge across different contexts and perspectives. This article introduces Weight of Evidence as a transformative procedure for stakeholders to interpret, expand on and prioritize evidence from evidence syntheses, with a focus on engaging populations historically excluded from planning and decision making. This article presents the procedure's five steps using pilot data on perinatal care of immigrant women in Canada, engaging family physicians and birth companions. Fuzzy cognitive mapping offers an accessible and systematic way to generate priors to update published literature with stakeholder priorities. Weight of Evidence is a transparent procedure to broaden what counts as expertise, contributing to a more comprehensive, context-specific, and actionable understanding.

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证据的权重:参与式方法和贝叶斯更新在利益相关者知识背景下的证据综合。
混合方法研究非常适合于在不同的背景和观点中解决什么是有效知识的问题。本文介绍了证据权重作为一种变革性程序,供利益相关者解释、扩展和优先考虑来自证据综合的证据,重点是吸引历史上被排除在规划和决策之外的人群。本文介绍了程序的五个步骤,使用试点数据的围产期护理移民妇女在加拿大,从事家庭医生和分娩同伴。模糊认知映射提供了一种可访问和系统的方式来生成先验,以更新具有利益相关者优先级的已发表文献。证据权重是一个透明的程序,旨在扩大专业知识的范围,有助于更全面、具体和可操作的理解。
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来源期刊
Journal of Mixed Methods Research
Journal of Mixed Methods Research SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.40
自引率
28.20%
发文量
36
期刊介绍: The Journal of Mixed Methods Research serves as a premiere outlet for ground-breaking and seminal work in the field of mixed methods research. Of primary importance will be building an international and multidisciplinary community of mixed methods researchers. The journal''s scope includes exploring a global terminology and nomenclature for mixed methods research, delineating where mixed methods research may be used most effectively, creating the paradigmatic and philosophical foundations for mixed methods research, illuminating design and procedure issues, and determining the logistics of conducting mixed methods research. JMMR invites articles from a wide variety of international perspectives, including academics and practitioners from psychology, sociology, education, evaluation, health sciences, geography, communication, management, family studies, marketing, social work, and other related disciplines across the social, behavioral, and human sciences.
期刊最新文献
Multi-Resolution Design: Using Qualitative and Quantitative Analyses to Recursively Zoom in and out of the Same Dataset In This Issue: Artificial Intelligence, Bridging Methodological Divides Through Mixed Methods, Literature Reviews, Integration of Structural Equation Modeling and Autoethnography, and Research Problems in Mixed Methods Media Review: The Sage Handbook of Mixed Methods Research Design In This Issue: Special Issue Dedicated to Michael D. Fetters Toward a Framework for Appraising the Quality of Integration in Mixed Methods Research
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