Introduction to qualitative data analysis

H. Brooks, P. Bee, A. Rogers
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引用次数: 17

Abstract

Qualitative data includes a range of textual (e.g. transcripts of interviews and focus groups) and visual (photographic and video) data. During qualitative analysis researchers make sense of this data gathered from research. Analysing the data by looking for common themes (known as thematic analysis) is one of the most common ways in which to do this and involves examining and recording patterns within the data relating to a specifi c research question. There are various criticisms levelled at qualitative analysis including issues relating to validity, reliability and credibility. Researchers can address these through a range of methods including triangulation of data, member validation, careful sampling and transparency of approach. The themes resulting from this form of analysis can illuminate participants’ meanings, actions and social contexts relating to the phenomena under consideration.
定性数据分析导论
定性数据包括一系列文本数据(如访谈和焦点小组记录)和视觉数据(摄影和录像)。在定性分析中,研究人员对从研究中收集的数据进行分析。通过寻找共同主题来分析数据(称为主题分析)是最常见的方法之一,它涉及检查和记录与特定研究问题相关的数据中的模式。对定性分析有各种各样的批评,包括与有效性、可靠性和可信度有关的问题。研究人员可以通过一系列方法来解决这些问题,包括数据三角测量、成员验证、仔细抽样和方法透明度。这种形式的分析所产生的主题可以阐明与所考虑的现象有关的参与者的意义、行动和社会背景。
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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