Centre of Health Services and Nursing Research, Faculty of Medicine, Catholic University of Leuven, Kapucijnenvoer 35 blok d - bus 7001, 3000 Leuven, Belgium.
Int J Nurs Stud. 2012 Mar;49(3):360-71. doi: 10.1016/j.ijnurstu.2011.09.012. Epub 2011 Oct 11.
Data analysis is a complex and contested part of the qualitative research process, which has received limited theoretical attention. Researchers are often in need of useful instructions or guidelines on how to analyze the mass of qualitative data, but face the lack of clear guidance for using particular analytic methods.
The aim of this paper is to propose and discuss the Qualitative Analysis Guide of Leuven (QUAGOL), a guide that was developed in order to be able to truly capture the rich insights of qualitative interview data.
The article describes six major problems researchers are often struggling with during the process of qualitative data analysis. Consequently, the QUAGOL is proposed as a guide to facilitate the process of analysis. Challenges emerged and lessons learned from own extensive experiences with qualitative data analysis within the Grounded Theory Approach, as well as from those of other researchers (as described in the literature), were discussed and recommendations were presented. Strengths and pitfalls of the proposed method were discussed in detail.
The Qualitative Analysis Guide of Leuven (QUAGOL) offers a comprehensive method to guide the process of qualitative data analysis. The process consists of two parts, each consisting of five stages. The method is systematic but not rigid. It is characterized by iterative processes of digging deeper, constantly moving between the various stages of the process. As such, it aims to stimulate the researcher's intuition and creativity as optimal as possible.
The QUAGOL guide is a theory and practice-based guide that supports and facilitates the process of analysis of qualitative interview data. Although the method can facilitate the process of analysis, it cannot guarantee automatic quality. The skills of the researcher and the quality of the research team remain the most crucial components of a successful process of analysis. Additionally, the importance of constantly moving between the various stages throughout the research process cannot be overstated.
数据分析是定性研究过程中复杂且有争议的一部分，它受到的理论关注有限。研究人员通常需要关于如何分析大量定性数据的有用说明或指导，但他们面临缺乏特定分析方法使用的明确指导的困境。
本文旨在提出和讨论莱顿定性分析指南（QUAGOL），该指南的开发目的是能够真正捕捉定性访谈数据的丰富见解。
本文描述了研究人员在定性数据分析过程中经常遇到的六个主要问题。因此，提出 QUAGOL 作为分析过程的指南。讨论了从扎根理论方法中自身广泛的定性数据分析经验以及其他研究人员（如文献中所述）中出现的挑战和经验教训，并提出了建议。详细讨论了所提出方法的优缺点。
莱顿定性分析指南（QUAGOL）提供了一种全面的方法来指导定性数据分析过程。该过程由两部分组成，每部分包含五个阶段。该方法是系统的，但不是僵化的。它的特点是迭代的深入挖掘过程，不断在过程的各个阶段之间移动。因此，它旨在尽可能地激发研究人员的直觉和创造力。
QUAGOL 指南是一种基于理论和实践的指南，支持和促进定性访谈数据的分析过程。尽管该方法可以促进分析过程，但它不能保证自动的质量。研究人员的技能和研究团队的质量仍然是成功分析过程的最关键组成部分。此外，在整个研究过程中不断在各个阶段之间移动的重要性怎么强调都不为过。
