Practical strategies to identify and address discordant findings in mixed methods research

Ahtisham Younas, Maria Pedersen, S. Inayat
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引用次数: 5

Abstract

Integration of qualitative and quantitative data in mixed methods research generates confirmed, discordant, and expanded findings. Guidance is available about the methods and strategies for the meaningful integration of data. However, little has been written about strategies for managing discordant findings in mixed methods. This paper describes and illustrates practical strategies for managing and integrating discordant findings in mixed methods analyses based on researchers reflections and experiences of managing and integrating discordant findings in convergent and sequential exploratory mixed methods studies. Two strategies, namely, comprehensive case and variable analysis and sociocultural exploration are proposed. Comprehensive case analysis involves identifying discordant findings in quantitative data, identifying supportive data in qualitative data, and selecting variables for mixed analysis and interpretation. Sociocultural exploration comprises qualitative code and quantitative data matrix for themes, identification of discordant findings under each theme, and development of sociocultural profile. Identifying and addressing discordant findings in mixed methods is an essential step of rigorous mixed methods analysis. The comprehensive case and variable analysis and sociocultural exploration strategies emphasize the need to examine discordance in data at an early stage of analysis. Further use and evaluation of these strategies are warranted to expand the body of knowledge about practical methods of mixed methods data analysis.
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识别和解决混合方法研究中不一致发现的实用策略
在混合方法研究中,定性和定量数据的整合产生了确认的、不一致的和扩展的发现。对于有意义的数据整合的方法和策略提供了指导。然而,很少有关于管理混合方法中不一致发现的策略的文章。本文根据研究者在收敛性和序列性探索性混合方法研究中管理和整合不协调结果的反思和经验,描述和阐述了管理和整合混合方法分析中不协调结果的实用策略。提出了两种策略,即综合案例变量分析和社会文化探索。综合案例分析包括在定量数据中识别不一致的发现,在定性数据中识别支持性数据,以及选择变量进行混合分析和解释。社会文化探索包括主题的定性代码和定量数据矩阵,识别每个主题下的不一致发现,以及发展社会文化概况。识别和处理混合方法中的不一致发现是严格的混合方法分析的重要步骤。综合案例和变量分析以及社会文化探索策略强调需要在分析的早期阶段检查数据中的不一致性。进一步使用和评估这些策略是必要的,以扩大有关混合方法数据分析的实际方法的知识体系。
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