高等教育三大期刊混合方法研究整合质量评价

Yifu Zhou, Yuchun Zhou, Lijing Yang, Shouhua Yu
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引用次数: 2

摘要

混合方法研究(MMR)已在各种学科中采用,包括健康科学、社会研究、心理学、幼儿和商业。最近,高等教育研究人员采用了这种方法,但对已发表的混合方法研究的质量评估有限。为了提高研究者对MMR使用的理解,我们开发了一个4维代码本,并回顾了最近发表在3种高等教育顶级期刊上的14篇混合方法研究文章。我们发现研究人员使用了3种有效的策略来接近整合:(a)使用混合方法研究问题来指导混合方法(MM)设计,(b)使用有效的混合方法抽样策略来收集不同类型的数据以进行整合,以及(c)使用混合技术来解释结果以获得最优的最大整合。除了3种有效的集成策略外,还指出了一些不足之处:(a)在文章标题中很少使用MM术语,(b)对MM数据混合策略的熟悉程度有限,以及(c) MM结果的非最佳报告。最后,我们综合了有用的整合策略,并制定了一份清单,供高等教育研究者设计高质量的混合方法研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Mixed Methods Research Integration Quality in Three Top Journals of Higher Education
Mixed methods research (MMR) has been adopted in a variety of disciplines, including health science, social studies, psychology, early childhood, and business. More recently, higher education researchers adopted this methodology, but with limited evaluation on the quality of published mixed methods research. To enhance researchers’ understanding of using MMR, we developed a 4-dimension codebook and reviewed 14 recently published mixed methods research articles that were published in 3 top journals in higher education. We found that researchers used 3 effective strategies to approach integration: (a) using a mixed methods research question to guide the mixed methods (MM) design, (b) using effective mixed methods sampling strategies to collect different types of data for the purpose of integration, and (c) using mixing techniques to interpret results for optimal maximum integration. Apart from the 3 effective integration strategies, a few insufficiencies have been singled out: (a) infrequent use of MM terminologies in the article title, (b) limited familiarity with MM data mixing strategies, and (c) non-optimal reporting of MM results. At the end, we synthesized the useful integration strategies and developed a checklist for higher education researchers to design high-quality mixed methods research studies.
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