Castro Felipe González, Kellison Joshua G, Boyd Stephen J, Kopak Albert
Arizona State University, Tempe, AZ, USA.
J Mix Methods Res. 2010 Sep 20;4(4):342-360. doi: 10.1177/1558689810382916.
Mixed methods research has gained visibility within the last few years, although limitations persist regarding the scientific caliber of certain mixed methods research designs and methods. The need exists for rigorous mixed methods designs that integrate various data analytic procedures for a seamless transfer of evidence across qualitative and quantitative modalities. Such designs can offer the strength of confirmatory results drawn from quantitative multivariate analyses, along with "deep structure" explanatory descriptions as drawn from qualitative analyses. This article presents evidence generated from over a decade of pilot research in developing an integrative mixed methods methodology. It presents a conceptual framework and methodological and data analytic procedures for conducting mixed methods research studies, and it also presents illustrative examples from the authors' ongoing integrative mixed methods research studies.
混合方法研究在过去几年中已受到关注，尽管某些混合方法研究设计和方法的科学水准仍存在局限性。目前需要严谨的混合方法设计，将各种数据分析程序整合起来，以便在定性和定量模式之间无缝地传递证据。这样的设计可以提供定量多变量分析得出的验证性结果的优势，以及定性分析得出的“深层结构”解释性描述。本文展示了十多年来在开发一种综合混合方法方法论的初步研究中所产生的证据。它提出了一个概念框架以及进行混合方法研究的方法论和数据分析程序，还展示了作者正在进行的综合混合方法研究中的示例。
