Coding the Data

Author:

Berthet ValentineORCID,Gaweda BarbaraORCID,Kantola JohannaORCID,Miller CherryORCID,Ahrens PetraORCID,Elomäki AnnaORCID

Abstract

AbstractNext to gathering qualitative data, coding of data lies at the core of qualitative research. The chapter is the first of two that dig into the specificities of data analysis. Coding is one way of organising dense data and making sense of it, for instance by identifying patterns. Whilst there exist various approaches to coding, this chapter presents a set of strategies to code dense interview, ethnographic and document data. Additionally, we present the technicalities of coding data collaboratively, as part of teamwork. Importantly, Chapter 5 yields important tips and concrete examples regarding the use of software tools for qualitative analysis, such as Atlas.ti and the intricacies of using it as a team. Specifically, the chapter discusses the initial stages of developing code listsin inductiveand deductive ways, the technicalities pertaining to actually coding the text of the data with Atlas.ti, and presents an overview of the advantages of some tools, such as creating code families, to make sense of the data. Throughout the chapter, we discuss the collaborative nature of our coding work by reviewing the pros and cons and by examining issues pertaining to intercoder reliability.

Publisher

Springer Nature Switzerland

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3