Triangulation design validating quantitative data model

It can lead to multi-perspective meta-interpretations. Notwithstanding validation and verification which are secondary, triangulation presents diverse perspectives on a specific issue using different investigative means to provide and enriched approach and outcome to the subject matter.

Not only does the array have the power of one very large telescope but it is more nimble, more practical and has the ability to cross-check itself.

Four Decisions for Mixed Method Designs (Creswell, 2003, p.

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PCMH models emphasize patient-centered, comprehensive, coordinated, accessible care, and a systematic focus on quality and safety. Mixed Methods: Integrating Quantitative and Qualitative Data Collection and Analysis While Studying Patient-Centered Medical Home Models. The term “mixed methods” refers to an emergent methodology of research that advances the systematic integration, or “mixing,” of quantitative and qualitative data within a single investigation or sustained program of inquiry.

Rockville, MD: Agency for Healthcare Research and Quality. The basic premise of this methodology is that such integration permits a more complete and synergistic utilization of data than do separate quantitative and qualitative data collection and analysis.

Triangulation design validating quantitative data model