Guidance on Using Mixed Methods From Diverse International Organizations in the Behavioral, Social, Fundamental, and Health Sciences

IF 3.8 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Journal of Mixed Methods Research Pub Date : 2021-10-01 DOI:10.1177/15586898211049629
M. Fetters, José F. Molina-Azorín
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引用次数: 5

Abstract

In planning of the publication of this issue of the Journal of Mixed Methods Research (JMMR), the 60th over 15 years, we reflected about the growth of mixed methods (MM) and potential indicators of the maturity of the field. Several indicators signify the maturity of the field. While researchers had only a handful of books on mixed methods research (MMR) in the early 1990s, three decades later, books seem available to guide MMR and evaluation in most major fields of investigation in the social, behavioral, and health sciences. While JMMR emerged as the first journal focused on advances in MMR, at least 13 journals at the time of writing this editorial specifically seek out or encourage MMR methodological contributions (Mixed Methods Program, n.d.). Empirical MM studies seemingly can also be found in the academic journals of most fields in the social, behavioral, business, and health sciences. Formed in 2013 (Poth et al., 2018), the Mixed Methods International Research Association (MMIRA) now has one affiliate and six chapters around the globe (Mixed Methods International Research Association, 2021). October 2021 marks season 5 of the popular MMIRA massive open online course (MOOC) series that promotes understanding and advances in MM methodology. Another hallmark of maturity is the extent that international organizations embrace and actually provide guidance for conducting MM studies. When a professional, government, or non-profit organization provides methodological guidance for its stakeholders, that guidance serves implicitly as an endorsement of the methodology for use in the types of research and evaluation that it
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在行为科学、社会科学、基础科学和健康科学中使用不同国际组织的混合方法指南
在计划出版本期《混合方法研究杂志》(JMMR)的过程中,即15年来的第60期,我们反思了混合方法的发展和该领域成熟度的潜在指标。几个指标表明该领域的成熟度。虽然研究人员在20世纪90年代初只有几本关于混合方法研究(MMR)的书,但三十年后,在社会、行为和健康科学的大多数主要调查领域,这些书似乎可以用来指导MMR和评估。虽然JMMR是第一家关注MMR进展的期刊,但在撰写这篇社论时,至少有13家期刊专门寻求或鼓励MMR方法学贡献(混合方法计划,n.d.)。实证MM研究似乎也可以在社会、行为、商业和健康科学的大多数领域的学术期刊上找到。混合方法国际研究协会(MMIRA)成立于2013年(Poth et al.,2018),目前在全球有一个附属机构和六个分会(国际混合方法研究协会,2021)。2021年10月是广受欢迎的MMIRA大规模开放在线课程(MOOC)系列的第五季,该系列旨在促进对MM方法的理解和进步。成熟的另一个标志是国际组织在多大程度上接受并实际为开展MM研究提供指导。当专业、政府或非营利组织为其利益相关者提供方法指导时,该指导隐含地作为对其在研究和评估类型中使用的方法的认可
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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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