Balancing Depth and Breadth to Understand Macro Phenomena: Some Advice for Analyzing Global Qualitative Datasets

Rebecca Bednarek
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Abstract

For qualitative scholars, achieving interpretive depth when analyzing large global datasets represents a particular challenge. It is, however, a challenge worth navigating given the power of such datasets to provide a depth of insight into large-scale societal issues. Building on existing insights about qualitative analysis and examples from my own experience of large global research projects, here I seek to offer some advice in this regard. I provide three general heuristics that scholars can keep in mind as characterizing this endeavor: the hermeneutic circle, distributed cognition; and embracing doubt. I then show how these heuristics unfold practically, illustrating a four-step process that I hope is helpful for qualitative researchers seeking to balance depth and breadth to understand macro phenomena.
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平衡深度和广度,理解宏观现象:分析全球定性数据集的一些建议
对于定性学者来说,在分析大型全球数据集时实现解释深度是一项特殊的挑战。然而,鉴于此类数据集能够深入洞察大规模的社会问题,这是一项值得驾驭的挑战。基于现有的定性分析见解和我自己在大型全球研究项目中的经验实例,我在这里试图提供一些这方面的建议。我提供了三种一般的启发式方法,学者们可以牢记它们作为这项工作的特点:诠释圈、分布式认知和接受质疑。然后,我将展示这些启发式方法是如何实际展开的,并说明一个四步过程,希望对寻求平衡深度和广度以理解宏观现象的定性研究人员有所帮助。
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