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Evidence-Based Practice and Qualitative Research: A Primer for Library and Information Professionals

机译：循证实践和定性研究：图书馆和信息专业人士入门

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Objective - This paper discusses the importance of qualitative research in evidence-based library and information practice (EBLIP), with a focus on practical tips for evaluating and implementing effective qualitative research projects. Methods - The paper provides a brief introduction to the nature of qualitative inquiry and its status within current models of evidence assessment. Three problems of excluding qualitative research from the evidence-base in library and information studies (LIS) are identified: 1) ignoring the social sciences and humanities traditions that inform research in the field; 2) privileging of quantitative and experimental methods over others in evidence assessment; and, 3) focusing attention away from the best evidence for LIS research problems. Results - Qualitative approaches commonly used in library and information contexts are discussed, along with strategies for assessing quality in this work and some of the common ethics-related issues that researchers and professionals must consider. Conclusions - LIS professionals are encouraged to: 1) select research methods – including qualitative approaches – that best suit LIS questions; 2) design collaborative projects that combine quantitative and qualitative approaches, that will address research questions in a more complete way; 3) consider qualitative measures of rigor in assessing quality – rather than imposing quantitative expectations; and 4) revise existing models of “evidence” to recognize the value and rigor of qualitative research projects.
机译：目的-本文讨论了定性研究在循证图书馆和信息实践（EBLIP）中的重要性，重点是评估和实施有效的定性研究项目的实用技巧。方法-本文简要介绍了定性询问的性质及其在当前证据评估模型中的地位。确定了将定性研究从图书馆和信息研究（LIS）的证据基础中排除的三个问题：1）忽略了为该领域研究提供信息的社会科学和人文传统; 2）在证据评估中将定量和实验方法置于其他方法之上; 3）将注意力集中在有关LIS研究问题的最佳证据上。结果-讨论了图书馆和信息环境中常用的定性方法，以及评估这项工作质量的策略以及研究人员和专业人员必须考虑的一些与道德相关的常见问题。结论-鼓励LIS专业人员：1）选择最适合LIS问题的研究方法-包括定性方法; 2）设计结合定量和定性方法的协作项目，以更完整的方式解决研究问题; 3）在评估质量时考虑采用严格的定性措施，而不是施加定量期望; 4）修改现有的“证据”模型，以承认定性研究项目的价值和严谨性。

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