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Applying Multiple Methods of Systematic Evaluation in Narrative Analysis for Greater Validity and Deeper Meaning

机译:在叙事分析中应用多种系统评估方法,以获得更大的有效性和更深的意义

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Personal narrative is at the heart of how human beings share information, represent identity, and convey ideas. Narrative research is a form of qualitative analysis that assists researchers in gaining insight into the lived experiences of the persons they are studying within their unique life circumstances and contexts. Although many narrative investigations report themes from study data, there is no single, well-defined approach to data analysis in narrative research. In this article, we provide a method for analyzing the data beyond the spoken words by applying Riessman’s thematic, structural, and performance analysis. We describe how applying multiple methods of systematic evaluation to narrative data leads to a deeper and more valid insight into the told stories. The data analysis process outlined in this article contributes to the academic discourse and knowledge supporting the use of multiple methods of systematic evaluation to uncover deeper meaning and thus leading to greater validity of the findings from narrative data.
机译:个人叙述是人类如何享有信息,代表身份和传达的想法的核心。叙述性研究是一种定性分析的形式,协助研究人员在其独特的生活环境和背景下欣赏到他们正在学习的人的生活经历。虽然许多叙述调查从研究数据报告主题,但在叙事研究中没有单一的,数据分析方法。在本文中,我们提供了一种通过应用Riessman的主题,结构和性能分析来分析超出口语之外的数据的方法。我们描述了如何对叙述数据应用多种系统评估方法导致对讲故事的更深入和更有效的洞察力。本文中概述的数据分析过程有助于支持使用多种系统评估方法来揭示更深层次的含义,从而导致叙述数据的调查结果更大的效果。

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