Using Triangulation and Crystallization to Make Qualitative Studies Trustworthy and Rigorous

Hani Morgan
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Abstract

Qualitative research is often criticized for lacking rigor and consisting of opinions that result from researcher bias. But like well-designed quantitative research, qualitative studies can be trustworthy. Qualitative researchers generally agree that some practices, such as triangulation, can be used to increase the credibility of the kind of research they conduct. Unfortunately, many researchers are confused about or unaware of the different types of triangulation strategies, leading them to write papers without accurately identifying which ones they used. Triangulation is also a contested approach for many qualitative researchers because it is oftentimes associated with a post-positivist paradigm. Unlike quantitative researchers, many qualitative researchers rely on an interpretive paradigm. In this paper, I clarify how four different types of triangulation strategies differ from each other and how triangulation can be used to increase the rigor, credibility, and trustworthiness of qualitative studies. I also discuss how qualitative researchers can deal with the concerns related to the use of triangulation and explain the advantages and limitations of using crystallization as an alternative approach.
使用三角测量和结晶法使定性研究可信而严谨
定性研究常常被批评为缺乏严谨性,包含研究者偏见造成的观点。但与精心设计的定量研究一样,定性研究也是值得信赖的。定性研究人员普遍认为,三角测量等一些做法可以用来提高他们所做研究的可信度。遗憾的是,许多研究人员对不同类型的三角测量策略感到困惑或一无所知,导致他们在撰写论文时无法准确识别自己使用了哪些策略。三角测量对许多定性研究人员来说也是一种有争议的方法,因为它经常与后实证主义范式联系在一起。与定量研究人员不同,许多定性研究人员依赖于解释性范式。在本文中,我将阐明四种不同类型的三角测量策略有何不同,以及如何利用三角测量来提高定性研究的严谨性、可信度和可信度。我还讨论了定性研究人员如何处理与使用三角测量相关的问题,并解释了使用结晶化作为替代方法的优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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