多元方法论
透明度(行为)
研究设计
定性研究
背景(考古学)
质量(理念)
定性性质
数据收集
集合(抽象数据类型)
管理科学
数据质量
计算机科学
组分(热力学)
数据科学
心理学
过程管理
社会学
工程类
运营管理
统计
数学
教育学
生物
程序设计语言
社会科学
公制(单位)
计算机安全
古生物学
哲学
物理
机器学习
认识论
热力学
作者
Alicia O’Cathain,Elizabeth Murphy,Jon Nicholl
标识
DOI:10.1258/jhsrp.2007.007074
摘要
Objectives To assess the quality of mixed methods studies in health services research (HSR). Methods We identified 118 mixed methods studies funded by the Department of Health in England between 1994 and 2004, and obtained proposals and/or final reports for 75. We applied a set of quality questions to both the proposal and report of each study, addressing the success of the study, the mixed methods design, the individual qualitative and quantitative components, the integration between methods and the inferences drawn from completed studies. Results Most studies were completed successfully. Researchers mainly ignored the mixed methods design and described only the separate components of a study. There was a lack of justification for, and transparency of, the mixed methods design in both proposals and reports, and this had implications for making judgements about the quality of individual components in the context of the design used. There was also a lack of transparency of the individual methods in terms of clear exposition of data collection and analysis, and this was more a problem for the qualitative than the quantitative component: 42% (19/45) versus 18% (8/45) of proposals (p 5 0.011). Judgements about integration could rarely be made due to the absence of an attempt at integration of data and findings from different components within a study. Conclusions The HSR community could improve mixed methods studies by giving more consideration to describing and justifying the design, being transparent about the qualitative component, and attempting to integrate data and findings from the individual components.
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