Triangulation and Mixed Methods Designs

This article discusses three innovative forms of data integration that rely on computational support: (a) the integration of geo-referencing technologies with qualitative software, (b) theintegration of multistream visual data in mixed methods research, and (c) the Integration of data from qualitative and quantitative methods.

Abstract

Data integration is a crucial element in mixed methods analysis and conceptualization. It has three principal purposes: illustration, convergent validation (triangulation), and the development of analytic density or “richness.” This article discusses such applications in relation to new technologies for social research, looking at three innovative forms of data integration that rely on computational support: (a) the integration of geo-referencing technologies with qualitative software, (b) the integration of multistream visual data in mixed methods research, and (c) the integration of data from qualitative and quantitative methods.