混合方法研究中的整合概念化

IF 3.8 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Journal of Mixed Methods Research Pub Date : 2024-05-08 DOI:10.1177/15586898241253636
Pat Bazeley
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引用次数: 0

摘要

整合是混合方法研究的核心,但它主要是从实践而非概念或理论的角度来考虑的。在本文中,我针对构成整合的实质性维度建立了一个符合实际情况的、简明的概念模型。我的结论是,混合方法研究中异质成分之间的整合是由相互依赖构成的,这种相互依赖具有关联性、交易性、转换性、连贯性和动态性。在此提出这一概念模型,希望它能促使研究人员更深入地思考他们所研究的现象以及他们用来研究这些现象的方法之间的整合。
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Conceptualizing Integration in Mixed Methods Research
Integration lies at the heart of mixed methods research, but it has primarily been considered from a practical rather than a conceptual or theoretical perspective. In this paper, I develop a contextually situated, parsimonious conceptual model of the substantive dimensions that constitute integration. I conclude that integration between heterogeneous components in mixed methods research is constituted by interdependence that is connected, transactional, transformative, coherent, and dynamic. This conceptual model is presented here in the expectation that it will prompt researchers to think more deeply about the phenomena they study and the integration of the methods they use to study those phenomena.
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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 Weighing Mixing in a Decision About Priority in Mixed Methods Research
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