Validating quantitative data triangulation model www dating tu
In this confounding situation, this article guides them to fuse both qualitative and quantitative stand points to explore reality from another perspective which is known as pragmatic paradigm.In this connection, this article aims at explaining the holistic ideas of mixed method design focusing particularly on philosophical premises, generating research questions, data collection and analysis process, potential ethical issues, quality of inference and teaching mixed methodology.This article highlights on the growing interest of educational researchers on sequential mixed method design in order to collect and analyze data for legitimize knowledge claim.This article is expected to be useful to novice researchers who are in quandary to adopt explanatory sequential mixed method as a research method and it also creates a roadmap in educational research indicating methodological possibilities for new knowledge claim.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.His framework involves four decisions to consider and six strategies.Four Decisions for Mixed Method Designs (Creswell, 2003, p.
Many novice educational researchers are in dilemma to adopt research design in order to explore reality through their research endeavor because of a tag of war on ontological epistemological and axiological perspectives among qualitative and quantitative researchers.
This problem isn’t restricted to UX and Ix D of course, our marketing brethren might do likewise, referring only to Roy Morgan for insight, for example.
Each of these techniques can be incredibly useful for giving insight into a particular aspect of what you’re studying, but relying solely on one is a big mistake.
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.
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"Qualtative research in health care: Assessing quality in qualitative research." BMJ.