Simplifying Qualitative Data Analysis Using General Purpose Software Tools

Simplifying Qualitative Data Analysis Using General Purpose Software Tools
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使用通用软件工具简化定性数据分析

DOI:
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发表时间:
2004
期刊:
影响因子:
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通讯作者:
Nancy La Pelle
Nancy La Pelle
中科院分区:
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文献类型:
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作者:
Nancy La Pelle

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这篇文章展示了如何巧妙而简单地使用文字处理功能来提供为分析文本而设计的专用软件的许多功能。对于许多定性研究项目,以及正在学习计算机辅助文本分析的学生,这里概述的Microsoft Word功能可能是所需的全部。给出的例子显示如何Microsoft Word可以用于编码和检索,半自动编码和检查,创建层次结构的代码类别通过索引,全球编辑的主题代码,编码的“面单”数据,探索面单代码和概念代码之间的关系,量化的频率代码实例,和注释文本。所概述的技术可用于分析和管理多种数据,包括关键线人访谈、焦点小组、文件和文献综述以及开放式调查问题。
This article shows how clever but simple use of word-processing functions can provide many features of special-purpose software designed for analyzing text. For many qualitative research projects, and for students who are learning computerassisted analysis of text, the Microsoft Word functions outlined here may be all that are required. Examples are given showing how Microsoft Word can be used for coding and retrieving, semiautomated coding and inspection, creating hierarchies of code categories via indexing, global editing of theme codes, coding of “face-sheet” data, exploring relationships between face-sheet codes and conceptual codes, quantifying the frequency of code instances, and annotating text. The techniques outlined can be used for analyzing and managing many kinds of data, including key informant interviews, focus groups, document and literature reviews, and open-ended survey questions.