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

IF 3.8 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Journal of Mixed Methods Research Pub Date : 2024-09-17 DOI:10.1177/15586898241287305
José F. Molina-Azorin, Timothy C. Guetterman
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本期内容人工智能》、《通过混合方法弥合方法论分歧》、《文献综述》、《结构方程模型与自我民族志的整合》、《混合方法中的研究问题
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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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