Faculty of Social and Behavioural Sciences, Department of Methodology and Statistics, Utrecht University, Utrecht, Netherlands.
EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London, UK.
Res Synth Methods. 2017 Sep;8(3):303-311. doi: 10.1002/jrsm.1241. Epub 2017 Apr 21.
This study describes an approach for the use of a specific type of qualitative evidence synthesis in the matrix approach, a mixed studies reviewing method. The matrix approach compares quantitative and qualitative data on the review level by juxtaposing concrete recommendations from the qualitative evidence synthesis against interventions in primary quantitative studies. However, types of qualitative evidence syntheses that are associated with theory building generate theoretical models instead of recommendations. Therefore, the output from these types of qualitative evidence syntheses cannot directly be used for the matrix approach but requires transformation. This approach allows for the transformation of these types of output.
The approach enables the inference of moderation effects instead of direct effects from the theoretical model developed in a qualitative evidence synthesis. Recommendations for practice are formulated on the basis of interactional relations inferred from the qualitative evidence synthesis. In doing so, we apply the realist perspective to model variables from the qualitative evidence synthesis according to the context-mechanism-outcome configuration.
A worked example shows that it is possible to identify recommendations from a theory-building qualitative evidence synthesis using the realist perspective. We created subsets of the interventions from primary quantitative studies based on whether they matched the recommendations or not and compared the weighted mean effect sizes of the subsets. The comparison shows a slight difference in effect sizes between the groups of studies. The study concludes that the approach enhances the applicability of the matrix approach.
本研究描述了一种在矩阵方法(一种混合研究综述方法)中使用特定类型的定性证据综合的方法。矩阵方法通过将定性证据综合的具体建议与主要定量研究中的干预措施并列,在综述层面上比较定量和定性数据。然而,与理论构建相关的定性证据综合类型会生成理论模型而不是建议。因此,这些类型的定性证据综合的输出不能直接用于矩阵方法,而是需要转换。本方法允许对这些类型的输出进行转换。
该方法允许从定性证据综合中开发的理论模型推断调节效应,而不是直接效应。基于从定性证据综合中推断出的相互关系,为实践制定建议。在这样做的过程中,我们根据定性证据综合中的情境-机制-结果配置,应用现实主义观点来对模型变量进行建模。
一个实例研究表明,使用现实主义观点从理论构建的定性证据综合中识别建议是可行的。我们根据干预措施是否与建议相符,从主要定量研究中创建干预措施的子集,并比较子集的加权平均效应大小。比较表明,两组研究的效应大小存在细微差异。研究结论认为,该方法增强了矩阵方法的适用性。