A Practical Guide to Collaborative Qualitative Data Analysis
A Practical Guide to Collaborative Qualitative Data Analysis
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DOI：
10.1123/jtpe.2017-0084
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发表时间：
2018-04-01
影响因子：
2.8
通讯作者：
Hemphill, Michael A.
中科院分区：
文献类型：
--
作者：
Richards, K. Andrew R.;Hemphill, Michael A.
本文的目的是提供一个结构化的，严格的方法来协作定性分析的概述，同时参加与在团队环境中工作的挑战。该方法是植根于定性数据分析的文献相关的主题分析，以及不断比较的方法。它试图利用协调小组定性数据分析的好处，同时控制与多个分析师合作时引入的一些挑战。该方法包括以下六个阶段：（a）初步组织和规划，（B）开放和轴向编码，（c）初步码本的开发，（d）码本的导频测试，（e）最终编码过程，以及（f）审查码本并最终确定主题。这些阶段得到了提高可信度的战略的支持，如（a）同行汇报，（B）研究人员和数据三角测量，（c）审计线索和研究人员日志，以及（d）寻找负面案例。
The purpose of this article is to provide an overview of a structured, rigorous approach to collaborative qualitative analysis while attending to challenges associated with working in team environments. The method is rooted in qualitative data analysis literature related to thematic analysis, as well as the constant comparative method. It seeks to capitalize on the benefits of coordinating qualitative data analysis in groups, while controlling for some of the challenges introduced when working with multiple analysts. The method includes the following six phases: (a) preliminary organization and planning, (b) open and axial coding, (c) development of a preliminary codebook, (d) pilot testing the codebook, (e) the final coding process, and (f) reviewing the codebook and finalizing themes. These phases are supported by strategies to enhance trustworthiness, such as (a) peer debriefing, (b) researcher and data triangulation, (c) an audit trail and researcher journal, and (d) a search for negative cases.