Triangulation design validating quantitative data model

Collect (sometimes going back to Design when collecting data)5. Share Chapter 1: How to Know Whether and When to Use Case Studies as a Research Method Your goal is to design good case studies and to collect, present and analyse data fairly.Equally important is a dedication to formal and explicit procedures when doing your research.This is where the concept of “triangulation” comes into its own.Also known as “mixed method” research, triangulation is the act of combining several research methods to study one thing.The focus is non understanding these social phenomenons.

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However, this notion carries systematic ambiguities, at least when transferred to the integration of qualitative and quantitative methods—triangulation does not represent a single integrated methodological concept but a metaphor with a broad semantic field.

Triangulation involves using multiple data sources in an investigation to produce understanding.

Some see triangulation as a method for corroborating findings and as a test for validity. This assumes that a weakness in one method will be compensated for by another method, and that it is always possible to make sense between different accounts. Rather than seeing triangulation as a method for validation or verification, qualitative researchers generally use this technique to ensure that an account is rich, robust, comprehensive and well-developed.

The effect is rather like the use of telescope arrays, such as that shown in the photo above, which make use of many small telescopes spread over a large area to simulate the effect of one very large telescope.

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.

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