Triangulation and Mixed Methods Designs: Data Integration With New Research Technologies

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...

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Bibliographic Details
Published in:Journal of mixed methods research 2012-04, Vol.6 (2), p.124-136
Main Author: Fielding, Nigel G.
Format: Article
Language:English
Subjects:
Computer Software
Convergent Validation
Data
Geographic Information Systems
Information Technology
Innovation
Mixed Methods Research
Qualitative Research
Social Integration
Social Science Research
Statistical Analysis
Validity
Visual Aids
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Summary: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.
ISSN:1558-6898
1558-6901
DOI:10.1177/1558689812437101