Cofie Nicholas, Braund Heather, Dalgarno Nancy
Faculty of Health Sciences, Queen's University, Ontario, Canada.
Can Med Educ J. 2022 May 3;13(2):73-76. doi: 10.36834/cmej.72504. eCollection 2022 May.
The use of quantitative intercoder reliability measures in the analysis of qualitative research data has often generated acrimonious debates among researchers who view quantitative and qualitative research methodologies as incompatible due to their unique ontological and epistemological traditions. While these measures are invaluable in many contexts, critics point out that the use of such measures in qualitative analysis represents an attempt to import standards derived for positivist research. Guided by extant research and our experience in qualitative research, we argue that it is possible to develop a qualitative-based measure of intercoder reliability that is compatible with the interpretivist epistemological paradigm of qualitative research. We present eight qualitative research process-based guidelines for evaluating and reporting intercoder reliability in qualitative research and anticipate that these recommendations will particularly guide beginning researchers in the coding and analysis processes of qualitative data analysis.
在定性研究数据分析中使用定量编码员信度测量方法,常常在研究者之间引发激烈争论,这些研究者认为定量和定性研究方法因其独特的本体论和认识论传统而不相容。虽然这些测量方法在许多情况下非常宝贵,但批评者指出,在定性分析中使用此类方法是试图引入源自实证主义研究的标准。基于现有研究以及我们在定性研究中的经验,我们认为有可能开发一种基于定性的编码员信度测量方法,该方法与定性研究的解释主义认识论范式兼容。我们提出了八条基于定性研究过程的指南,用于评估和报告定性研究中的编码员信度,并预计这些建议将特别指导初入行的研究者进行定性数据分析的编码和分析过程。