Describing Mixed Methods Research: An Alternative to Typologies
Describing Mixed Methods Research: An Alternative to Typologies
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DOI：
10.1177/1558689812461179
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发表时间：
2013-04-01
影响因子：
3.9
通讯作者：
Guest, Greg
中科院分区：
文献类型：
--
作者：
Guest, Greg
学者们创造了各种类型来描述和简化混合方法研究设计。在这篇文章中，我回顾了使用这些类型学的基本原理，并讨论了现有分类方法的一些缺点。我认为，目前的分类系统虽然对简单和流动性较少的混合方法研究有用，但不能捕捉到更大、更复杂的研究项目的复杂性和迭代性质。对于抵制简单分类的研究，我建议用另一种方式来观察和描述混合方法研究。这一替代视角将参考单位转移到接口点--QUAL和Quan数据整合的地方--并将描述性维度的数量减少到两个--数据整合的时间和目的。
Scholars have created a variety of typologies to describe and simplify mixed methods research designs. In this article, I review the rationale for using these typologies and discuss some shortcomings of the existing methods of classification. I argue that current systems of classification, although useful for simple and less fluid types of mixed methods research, are not capable of capturing the complexity and iterative nature of larger, more intricate research projects. I suggest an alternative way of viewing and describing mixed methods research for studies that resist simple classification. This alternative perspective shifts the unit of reference to the point of interface-where QUAL and QUAN data are integrated-and reduces the number of descriptive dimensions to two-the timing and the purpose of data integration.