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Coding for Language Complexity: The Interplay Among Methodological Commitments, Tools, and Workflow in Writing Research
Written Communication ( IF 2.447 ) Pub Date : 2018-03-22 , DOI: 10.1177/0741088317748590
Cheryl Geisler 1
Affiliation  

Coding, the analytic task of assigning codes to nonnumeric data, is foundational to writing research. A rich discussion of methodological pluralism has established the foundational importance of systematicity in the task of coding, but less attention has been paid to the equally important commitment to language complexity. Addressing the interplay among a commitment to language complexity, the selection of tools, and the construction of workflow, this article offers a framework of analytic tasks in coding. Three general purpose coding tools are explored: Excel, MAXQDA, and Dedoose. This exploration suggests that how four aspects of analysis should be supported in order to manage language complexity: code restructuring, segmentation in advance of coding, use of a full coding scheme, and retrieval of full context by code. This analysis is intended to help writing researchers choose tools and design workflow to support coding work consistent with our commitment to language in its full complexity.

中文翻译:

语言复杂性编码:写作研究中的方法论承诺,工具和工作流之间的相互作用

编码是将代码分配给非数值数据的分析任务,是撰写研究报告的基础。在方法论多元化上进行了广泛的讨论,确立了系统性在编码任务中的基本重要性,但是对语言复杂性同样重要的承诺却很少受到关注。为了解决对语言复杂性的承诺,工具的选择以及工作流的构造之间的相互作用,本文提供了一个编码中的分析任务框架。探索了三种通用编码工具:Excel,MAXQDA和Dedoose。这项探索表明,为了管理语言的复杂性,应如何支持四个方面的分析:代码重组,在编码之前进行分段,使用完整的编码方案以及通过代码检索完整的上下文。
更新日期:2018-03-22
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