Centre for Public Health Nutrition, School of Integrated Health, University of Westminster, London, UK.
J Hum Nutr Diet. 2011 Feb;24(1):3-12. doi: 10.1111/j.1365-277X.2010.01117.x. Epub 2010 Nov 23.
The wide scope of qualitative enquiry presents the researcher with a number of choices regarding data collection and sampling. Selecting data collection and sampling techniques can therefore be somewhat daunting, particularly because, often, there is no single, universally accepted 'correct' option. Appropriate research methods are, however, crucial to ensure high-quality research. This review, the second in the series, provides an overview of the principal techniques of data collection and sampling that may be used for qualitative research in nutrition and dietetics. In addition, it describes a process for choosing appropriate data collection and sampling methods that considers the extent to which they provide data that answers the research question(s) and are compatible with the philosophical assumptions about ontology, epistemology and methodology that underpin the overall design of a study. Finally, it discusses the central role that the researcher plays in qualitative data collection and encourages researchers to acknowledge and reflect upon their impact on the data. Other reviews in this series provide a model for embarking on a qualitative research project in nutrition and dietetics, an overview of the principal techniques of data analysis and quality assessment of this kind of research, and some practical advice relevant to nutrition and dietetics, along with glossaries of key terms.
定性研究的广泛范围为研究人员提供了许多关于数据收集和抽样的选择。因此,选择数据收集和抽样技术可能会有些令人生畏,特别是因为通常没有单一的、普遍接受的“正确”选择。然而,适当的研究方法对于确保高质量的研究至关重要。本综述是该系列的第二篇,概述了可能用于营养与饮食学中定性研究的主要数据收集和抽样技术。此外,它还描述了一个选择适当的数据收集和抽样方法的过程,该过程考虑了它们在多大程度上提供了回答研究问题的答案,并与支持研究整体设计的本体论、认识论和方法论哲学假设相兼容。最后,它讨论了研究人员在定性数据收集过程中所扮演的核心角色,并鼓励研究人员承认并反思自己对数据的影响。本系列中的其他综述提供了在营养与饮食学中开展定性研究项目的模型,概述了这种研究的主要数据分析技术和质量评估,以及与营养与饮食学相关的一些实用建议,并提供了关键词汇表。