Using computer assisted qualitative data analysis software (CAQDAS; NVivo) to assist in the complex process of realist theory generation, refinement and testing

被引:105
作者
Dalkin, Sonia [1 ]
Forster, Natalie [1 ]
Hodgson, Philip [1 ]
Lhussier, Monique [1 ]
Carr, Susan M. [1 ]
机构
[1] Northumbria Univ, Fac Hlth & Life Sci, Newcastle Upon Tyne, Tyne & Wear, England
基金
英国经济与社会研究理事会; 英国医学研究理事会; 英国惠康基金;
关键词
Qualitative; NVivo; CAQDAS; realist; evaluation; theory; HEALTH; CARE; IMPROVEMENT;
D O I
10.1080/13645579.2020.1803528
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
There have been several calls for more transparency in realist methods, particularly in the complex process of programme theory development and refinement. This paper will describe the way in which Computer Assisted Qualitative Data Analysis Software, specifically, NUD*IST Vivo (NVivo), was used to build and refine programme theories (using literature and interview data) in a realist evaluation. This article presents the evolving and complex process of coding several data sources to nodes and child nodes, whilst writing 'attached memos' to highlight the process of theory generation. In this project, NVivo helped create an explicitly documented and evidenced audit trail of the process of programme theory refinement, answering to calls for further transparency in realist analysis. RAMESES I and II have provided a platform to improve transparency in reporting realist research, by developing consensus and evidence-based reporting guidelines. We propose that the use of NVivo in realist approaches can help structure the iterative and by nature 'messy' process of generating, refining and testing complex programme theories when drawing on multiple data sources simultaneously. This effectively creates a structured track record of the analytical process, which increases its rigour and transparency.
引用
收藏
页码:123 / 134
页数:12
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