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Analyzing variations in changes over time: development of the Pattern‐Oriented Longitudinal Analysis approach

机译:随着时间的推移分析变化的变化:面向模式纵向分析方法的发展

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Abstract Longitudinal qualitative research in nursing is rare but becoming more common. Data collection and analysis over time provide some intriguing possibilities to better understand processes, development, and change in illness experience, healthcare organizations, and self‐management. This paper aims to present a process for analyzing qualitative longitudinal data material, namely the Pattern‐Oriented Longitudinal Analysis approach ( POLA ). We developed this approach after synthesizing experiences from two longitudinal qualitative projects and comparing our procedures and reflections with the relevant literature. Using the POLA approach, researchers can describe complexity and variation in changes over time. During the analysis process, emphasis is put on visualizing and identifying change at both an individual and a group level. Ontological and epistemological assumptions for the approach are also described. The benefit of this approach is the possibility to describe complexity and diversity in processes over time, which is important for the development of nursing knowledge. The analysis approach can be further used and developed by researchers seeking to understand variance or contextual features in processes and changes over time.
机译:摘要护理纵向定性研究是罕见的,但变得越来越普遍。数据收集和分析随着时间的推移提供了一些有趣的可能性,以更好地了解疾病经验,医疗组织和自我管理的过程,发展和变化。本文旨在介绍分析定性纵向数据材料的过程,即面向图案化的纵向分析方法(POLA)。在综合两个纵向定性项目的经验并将我们的程序与相关文献的思考进行比较后,我们开发了这种方法。使用Pola方法,研究人员可以描述随着时间的变化变化的复杂性和变化。在分析过程中,强调在个人和群体级别的可视化和识别变化。还描述了这种方法的本体论和认识学假设。这种方法的好处是可以在随着时间的推移中描述过程中的复杂性和多样性,这对于护理知识的发展是重要的。通过研究人员可以进一步使用分析方法,并寻求了解过程中的方差或上下文特征和随时间的变化。

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